The document discusses Advantech platforms for 10 Gigabit Ethernet networking using Intel Xeon Processor 5500 Series chips. It provides details on the performance and capabilities of the new Intel Nehalem microarchitecture and Xeon 5500 Series processors. The Nehalem architecture features up to 4 cores with simultaneous multi-threading, Intel Turbo Boost technology for automatic performance boosts, and integrated memory controllers for higher memory bandwidth and lower power. Advantech platforms using these Intel chips provide high performance for demanding applications like deep packet inspection and security.
This document provides information about IBM Power Systems models, including their specifications and features. It discusses both scale-out models like the S814 and S824 that support Linux, AIX, and IBM i, as well as enterprise models like the E870 that support large clustered configurations. It covers technologies like PowerVM, PowerVC, Active Memory Expansion, and ChipKill memory error correction. Overall, the document is a technical reference for IBM Power Systems servers and their capabilities.
GPU compute has leveraged discrete GPUs for a fairly limited set of academic and supercomputing system workloads until recently. With the increase in performance of integrated GPU inside an Accelerated Processing Unit (APU), introduction of Heterogeneous System Architecture (HSA) devices, and proliferation of programming tools, we are seeing GPU compute make its way into mainstream applications. In this presentation we cover GPU compute and HSA, focusing on the application of GPU compute in the Medical and Print Imaging segments. Examples of performance data are reviewed and the case is made for how GPU compute can deliver tangible benefits.
The document discusses using Impulse C to program FPGAs for financial applications. Key points:
1) Impulse C allows developing FPGA accelerators using standard C/C++ and converts code into hardware modules, interfaces and accelerators.
2) It supports parallel programming with multiple communicating hardware processes. Processes can interact through shared memory, streams or signals.
3) Popular FPGA configurations include hardware modules, embedded CPU cores, and host CPU accelerators. Configurations can be combined for specific applications.
Ibm power systems e870 and e880 technical overview and introductionDiego Alberto Tamayo
This document provides an overview and introduction of the IBM Power Systems E870 and E880 servers. It describes the key features and architecture of these new modular servers, including the POWER8 processor, memory subsystem, I/O capabilities, and management functions. The E870 and E880 utilize a new modular design for increased reliability and scalability. They offer high memory and I/O bandwidth enabled by the POWER8 processor and custom DIMMs.
This document provides information about IBM Power Systems models, including their specifications and features. It discusses both scale-out models like the S814 and S824 that support Linux, AIX, and IBM i, as well as enterprise models like the E870 that support large clustered configurations. It covers technologies like PowerVM, PowerVC, Active Memory Expansion, and ChipKill memory error correction. Overall, the document is a technical reference for IBM Power Systems servers and their capabilities.
GPU compute has leveraged discrete GPUs for a fairly limited set of academic and supercomputing system workloads until recently. With the increase in performance of integrated GPU inside an Accelerated Processing Unit (APU), introduction of Heterogeneous System Architecture (HSA) devices, and proliferation of programming tools, we are seeing GPU compute make its way into mainstream applications. In this presentation we cover GPU compute and HSA, focusing on the application of GPU compute in the Medical and Print Imaging segments. Examples of performance data are reviewed and the case is made for how GPU compute can deliver tangible benefits.
The document discusses using Impulse C to program FPGAs for financial applications. Key points:
1) Impulse C allows developing FPGA accelerators using standard C/C++ and converts code into hardware modules, interfaces and accelerators.
2) It supports parallel programming with multiple communicating hardware processes. Processes can interact through shared memory, streams or signals.
3) Popular FPGA configurations include hardware modules, embedded CPU cores, and host CPU accelerators. Configurations can be combined for specific applications.
Ibm power systems e870 and e880 technical overview and introductionDiego Alberto Tamayo
This document provides an overview and introduction of the IBM Power Systems E870 and E880 servers. It describes the key features and architecture of these new modular servers, including the POWER8 processor, memory subsystem, I/O capabilities, and management functions. The E870 and E880 utilize a new modular design for increased reliability and scalability. They offer high memory and I/O bandwidth enabled by the POWER8 processor and custom DIMMs.
AMD is introducing “Seattle,” a 64-bit ARM-based server System-on a –Chip (SoC) built on the same technology that powers billions of today’s most popular mobile devices.
The new AMD Opteron™ processor: The core of the cloud
* Designed for the inflection point around the hyper-efficient, virtualized Cloud
* Strong OEM and end-customer support out of the gate
* Superior performance, ranging from 24% to 84% in key trending workloads
* Increased virtualization scalability
* As much as 56% lower power-per-core
* Perfectly matched architecture for today’s highly threaded workloads including cloud, web, virtualization, database and HPC
Fujitsu m10 server features and capabilitiessolarisyougood
This document provides an overview of the Fujitsu M10 server product line. It describes the hardware features and capabilities of the Fujitsu M10-1, M10-4, and M10-4S servers including their processors, memory, I/O, storage, and virtualization support. It also discusses the reliability, availability, and serviceability features, and performance advantages for running Oracle databases and SAP workloads on the Fujitsu M10 servers.
AMD 2014 A Series and Performance Mobile Accelerated Processing Units (Codena...AMD
The document discusses AMD's 2014 A-Series and Performance Mobile APUs codenamed "Kaveri". Key points:
- Kaveri marks the debut of AMD's Heterogeneous System Architecture (HSA) and Graphics Core Next (GCN) Architecture for mobile devices.
- It features up to 12 compute cores (4 CPU cores and 8 GPU cores) and is AMD's most advanced APU to date, delivering up to 50% more GPU performance.
- Kaveri's revolutionary architecture unlocks all the APU's power through features like HSA and makes it the first fully OpenCL 2.0 capable chip.
The document introduces AMD's new six-core Opteron EE processor targeted at energy efficient servers and workloads. It provides up to 30% higher performance than the quad-core Opteron at the same 40W power envelope. The low power processor allows for greater server density in cloud computing environments without compromising features like virtualization. It aims to deliver both top-line performance and bottom-line efficiency for customers with large scale-out deployments.
Presentation sparc m6 m5-32 server technical overviewsolarisyougood
The document provides an overview of the new SPARC M6-32 server from Oracle, including:
- It can contain up to 32 SPARC M6 or M5 CPUs for a total of 384 or 192 cores respectively, and support up to 32TB of memory.
- It has high I/O capacity with 64 PCIe slots and support for up to 32 internal hard drives.
- Key components include the CPU Memory Units (CMU) containing the processors and memory, and IO Units connecting I/O.
- The system uses several advanced technologies to achieve high performance, scalability, and availability.
AMD has been away from the HPC space for a while, but now they are coming back in a big way with an open software approach to GPU computing. The Radeon Open Compute Platform (ROCm) was born from the Boltzman Initiative announced last year at SC15. Now available on GitHub, the ROCm Platform bringing a rich foundation to advanced computing by better integrating the CPU and GPU to solve real-world problems.
"We are excited to present ROCm, the first open-source HPC/ultrascale-class platform for GPU computing that’s also programming-language independent. We are bringing the UNIX philosophy of choice, minimalism and modular software development to GPU computing. The new ROCm foundation lets you choose or even develop tools and a language run time for your application."
Watch the video presentation: http://wp.me/p3RLHQ-fJT
Learn more: https://radeonopencompute.github.io/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
AMD Opteron 6000 Series Platform Press PresentationAMD
The document discusses AMD's Opteron 6000 Series processor platform. Key points include:
- The AMD Opteron 6000 Series processor features up to 12 cores, improved Direct Connect Architecture 2.0 with more memory channels and DIMMs, and provides more performance for less money than competitors.
- It offers up to 2.2x better performance than Intel's two-socket solutions and transforms four-socket server economics by removing the "4P tax" and providing significantly better performance and price.
- AMD's Opteron 4000 and 6000 Series platforms provide a consistent set of features across power bands, from single-socket to four-socket, making them easier for customers to use, qualify, and
CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Ja...AMD Developer Central
Presentation CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Java applications, by Gary Frost and Vignesh Ravi at the AMD Developer Summit (APU13) Nov. 11-13, 2013.
This document summarizes AMD's Financial Analyst Day presentation from November 11, 2009. It discusses AMD's transition from CPUs to GPUs over time, increasing transistor counts and capabilities. It highlights AMD's current and future product strategies, including their Fusion era of computing that combines CPU and GPU capabilities on a single chip. It outlines AMD's priorities and roadmaps for server, client, and graphics platforms through 2010 and 2011, emphasizing improved performance, power efficiency, and competitive advantages through GPU technology.
JavaFX can be used to create user interfaces for embedded systems like the Raspberry Pi and BeagleBone Black. While Java's "write once, run anywhere" mantra does not directly apply to embedded due to different requirements and constraints, much code can be reused from mobile and desktop applications by focusing on content over elaborate graphics, limiting the number of nodes in the scene graph, and avoiding memory-intensive operations. With optimization, JavaFX applications can run well on embedded devices with as few as 3-60 nodes in the scene graph.
AMD's Lisa Su, Senior Vice President and General Manager, Global Business Units kicks off CES 2013 with a press conference at the AMD Experience Zone on Consumers and The World of Surround Computing.
CC-4006, Deliver Hardware Accelerated Applications Using RemoteFX vGPU with W...AMD Developer Central
Presentation CC-4006, Deliver Hardware Accelerated Applications Using RemoteFX vGPU with Windows Server, by Derrick Isoka at the AMD Developer Summit (APU13) November 11-13, 2013
PCI Express* based Storage: Data Center NVM Express* Platform TopologiesOdinot Stanislas
This document discusses PCI Express based solid state drives (SSDs) for data centers. It covers the growth opportunity for PCIe SSDs, topology options using various form factors like SFF-8639 and M.2, and validation tools. It also discusses hot plug support on Intel Xeon processor based servers and upcoming industry workshops to advance the PCIe SSD ecosystem.
The document discusses IBM's POWER8 technology, which features up to 12 cores per socket, 8 threads per core, larger caches, improved memory bandwidth and latency, integrated I/O subsystem and PCIe controller, and fine-grained power management. It provides details on IBM Power Systems such as the S814 and S824 servers that use POWER8, including their specifications, performance improvements over previous generations, and storage options.
The document discusses IBM Power Systems and PowerHA SystemMirror V7 for IBM i. PowerHA SystemMirror provides high availability and disaster recovery clustering capabilities. It uses shared storage clustering technology designed for automation and minimal IT operations. Editions include Standard Edition for data center deployments and Enterprise Edition with additional features for multi-site deployments. The document reviews PowerHA concepts, editions, pricing, and strategy to provide resiliency without downtime through automation and continuous availability.
Accelerate and Scale Big Data Analytics with Disaggregated Compute and StorageAlluxio, Inc.
Alluxio Tech Talk
Jul 17, 2019
Speakers:
Brien Porter, Intel
Alex Ma, Alluxio
The ever increasing challenge to process and extract value from exploding data with AI and analytics workloads makes a memory centric architecture with disaggregated storage and compute more attractive. This decoupled architecture enables users to innovate faster and scale on-demand. Enterprises are also increasingly looking towards object stores to power their big data & machine learning workloads in a cost-effective way. However, object stores don’t provide big data compatible APIs as well as the required performance.
In this webinar, the Intel and Alluxio teams will present a proposed reference architecture using Alluxio as the in-memory accelerator for object stores to enable modern analytical workloads such as Spark, Presto, Tensorflow, and Hive. We will also present a technical overview of Alluxio.
Hewlett Packard and Dell are the market leading server manufacturers. But which should you choose when buying a server? We put the two head to head to help you decide.
This is a presentation I gave on impulse at Open Database Camp in Sardegna, Italy last weekend, en then a bit less impulsively at the Inuits igloo.
A word of caution: I included the notes because they contain some extra info, but the presentation was hacked together from several older ones (not all of them my own) so there might be some flukes in there. :)
This document discusses the evolution of network application platforms and the debate around using general purpose processors (GPPs) versus specialized processors like digital signal processors (DSPs) and network processors (NPs). Originally, networks used specialized hardware for different elements like routing and switching. However, with convergence towards all-IP networks, the distinctions are now more in software. GPPs have become much more powerful but specialized processors were once better for tasks like signal processing or packet handling due to optimizations. Now GPPs can often match or exceed specialized processors for network applications.
AMD is introducing “Seattle,” a 64-bit ARM-based server System-on a –Chip (SoC) built on the same technology that powers billions of today’s most popular mobile devices.
The new AMD Opteron™ processor: The core of the cloud
* Designed for the inflection point around the hyper-efficient, virtualized Cloud
* Strong OEM and end-customer support out of the gate
* Superior performance, ranging from 24% to 84% in key trending workloads
* Increased virtualization scalability
* As much as 56% lower power-per-core
* Perfectly matched architecture for today’s highly threaded workloads including cloud, web, virtualization, database and HPC
Fujitsu m10 server features and capabilitiessolarisyougood
This document provides an overview of the Fujitsu M10 server product line. It describes the hardware features and capabilities of the Fujitsu M10-1, M10-4, and M10-4S servers including their processors, memory, I/O, storage, and virtualization support. It also discusses the reliability, availability, and serviceability features, and performance advantages for running Oracle databases and SAP workloads on the Fujitsu M10 servers.
AMD 2014 A Series and Performance Mobile Accelerated Processing Units (Codena...AMD
The document discusses AMD's 2014 A-Series and Performance Mobile APUs codenamed "Kaveri". Key points:
- Kaveri marks the debut of AMD's Heterogeneous System Architecture (HSA) and Graphics Core Next (GCN) Architecture for mobile devices.
- It features up to 12 compute cores (4 CPU cores and 8 GPU cores) and is AMD's most advanced APU to date, delivering up to 50% more GPU performance.
- Kaveri's revolutionary architecture unlocks all the APU's power through features like HSA and makes it the first fully OpenCL 2.0 capable chip.
The document introduces AMD's new six-core Opteron EE processor targeted at energy efficient servers and workloads. It provides up to 30% higher performance than the quad-core Opteron at the same 40W power envelope. The low power processor allows for greater server density in cloud computing environments without compromising features like virtualization. It aims to deliver both top-line performance and bottom-line efficiency for customers with large scale-out deployments.
Presentation sparc m6 m5-32 server technical overviewsolarisyougood
The document provides an overview of the new SPARC M6-32 server from Oracle, including:
- It can contain up to 32 SPARC M6 or M5 CPUs for a total of 384 or 192 cores respectively, and support up to 32TB of memory.
- It has high I/O capacity with 64 PCIe slots and support for up to 32 internal hard drives.
- Key components include the CPU Memory Units (CMU) containing the processors and memory, and IO Units connecting I/O.
- The system uses several advanced technologies to achieve high performance, scalability, and availability.
AMD has been away from the HPC space for a while, but now they are coming back in a big way with an open software approach to GPU computing. The Radeon Open Compute Platform (ROCm) was born from the Boltzman Initiative announced last year at SC15. Now available on GitHub, the ROCm Platform bringing a rich foundation to advanced computing by better integrating the CPU and GPU to solve real-world problems.
"We are excited to present ROCm, the first open-source HPC/ultrascale-class platform for GPU computing that’s also programming-language independent. We are bringing the UNIX philosophy of choice, minimalism and modular software development to GPU computing. The new ROCm foundation lets you choose or even develop tools and a language run time for your application."
Watch the video presentation: http://wp.me/p3RLHQ-fJT
Learn more: https://radeonopencompute.github.io/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
AMD Opteron 6000 Series Platform Press PresentationAMD
The document discusses AMD's Opteron 6000 Series processor platform. Key points include:
- The AMD Opteron 6000 Series processor features up to 12 cores, improved Direct Connect Architecture 2.0 with more memory channels and DIMMs, and provides more performance for less money than competitors.
- It offers up to 2.2x better performance than Intel's two-socket solutions and transforms four-socket server economics by removing the "4P tax" and providing significantly better performance and price.
- AMD's Opteron 4000 and 6000 Series platforms provide a consistent set of features across power bands, from single-socket to four-socket, making them easier for customers to use, qualify, and
CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Ja...AMD Developer Central
Presentation CC-4001, Aparapi and HSA: Easing the developer path to APU/GPU accelerated Java applications, by Gary Frost and Vignesh Ravi at the AMD Developer Summit (APU13) Nov. 11-13, 2013.
This document summarizes AMD's Financial Analyst Day presentation from November 11, 2009. It discusses AMD's transition from CPUs to GPUs over time, increasing transistor counts and capabilities. It highlights AMD's current and future product strategies, including their Fusion era of computing that combines CPU and GPU capabilities on a single chip. It outlines AMD's priorities and roadmaps for server, client, and graphics platforms through 2010 and 2011, emphasizing improved performance, power efficiency, and competitive advantages through GPU technology.
JavaFX can be used to create user interfaces for embedded systems like the Raspberry Pi and BeagleBone Black. While Java's "write once, run anywhere" mantra does not directly apply to embedded due to different requirements and constraints, much code can be reused from mobile and desktop applications by focusing on content over elaborate graphics, limiting the number of nodes in the scene graph, and avoiding memory-intensive operations. With optimization, JavaFX applications can run well on embedded devices with as few as 3-60 nodes in the scene graph.
AMD's Lisa Su, Senior Vice President and General Manager, Global Business Units kicks off CES 2013 with a press conference at the AMD Experience Zone on Consumers and The World of Surround Computing.
CC-4006, Deliver Hardware Accelerated Applications Using RemoteFX vGPU with W...AMD Developer Central
Presentation CC-4006, Deliver Hardware Accelerated Applications Using RemoteFX vGPU with Windows Server, by Derrick Isoka at the AMD Developer Summit (APU13) November 11-13, 2013
PCI Express* based Storage: Data Center NVM Express* Platform TopologiesOdinot Stanislas
This document discusses PCI Express based solid state drives (SSDs) for data centers. It covers the growth opportunity for PCIe SSDs, topology options using various form factors like SFF-8639 and M.2, and validation tools. It also discusses hot plug support on Intel Xeon processor based servers and upcoming industry workshops to advance the PCIe SSD ecosystem.
The document discusses IBM's POWER8 technology, which features up to 12 cores per socket, 8 threads per core, larger caches, improved memory bandwidth and latency, integrated I/O subsystem and PCIe controller, and fine-grained power management. It provides details on IBM Power Systems such as the S814 and S824 servers that use POWER8, including their specifications, performance improvements over previous generations, and storage options.
The document discusses IBM Power Systems and PowerHA SystemMirror V7 for IBM i. PowerHA SystemMirror provides high availability and disaster recovery clustering capabilities. It uses shared storage clustering technology designed for automation and minimal IT operations. Editions include Standard Edition for data center deployments and Enterprise Edition with additional features for multi-site deployments. The document reviews PowerHA concepts, editions, pricing, and strategy to provide resiliency without downtime through automation and continuous availability.
Accelerate and Scale Big Data Analytics with Disaggregated Compute and StorageAlluxio, Inc.
Alluxio Tech Talk
Jul 17, 2019
Speakers:
Brien Porter, Intel
Alex Ma, Alluxio
The ever increasing challenge to process and extract value from exploding data with AI and analytics workloads makes a memory centric architecture with disaggregated storage and compute more attractive. This decoupled architecture enables users to innovate faster and scale on-demand. Enterprises are also increasingly looking towards object stores to power their big data & machine learning workloads in a cost-effective way. However, object stores don’t provide big data compatible APIs as well as the required performance.
In this webinar, the Intel and Alluxio teams will present a proposed reference architecture using Alluxio as the in-memory accelerator for object stores to enable modern analytical workloads such as Spark, Presto, Tensorflow, and Hive. We will also present a technical overview of Alluxio.
Hewlett Packard and Dell are the market leading server manufacturers. But which should you choose when buying a server? We put the two head to head to help you decide.
This is a presentation I gave on impulse at Open Database Camp in Sardegna, Italy last weekend, en then a bit less impulsively at the Inuits igloo.
A word of caution: I included the notes because they contain some extra info, but the presentation was hacked together from several older ones (not all of them my own) so there might be some flukes in there. :)
This document discusses the evolution of network application platforms and the debate around using general purpose processors (GPPs) versus specialized processors like digital signal processors (DSPs) and network processors (NPs). Originally, networks used specialized hardware for different elements like routing and switching. However, with convergence towards all-IP networks, the distinctions are now more in software. GPPs have become much more powerful but specialized processors were once better for tasks like signal processing or packet handling due to optimizations. Now GPPs can often match or exceed specialized processors for network applications.
This document discusses converged application platforms (CAPs) and their benefits. Some key points:
1. CAPs provide a single platform solution for "triple play" applications of telephony, video, and data services through a common, scalable architecture.
2. They offer a wide range of functionality from voice switching to security and storage. This allows numerous applications to be supported individually or in combinations.
3. Their flexibility and ability to reuse developments through a consistent technology platform provides significant economic advantages over traditional modular systems requiring multiple unique elements.
Industrial and Network Computing Architecture (INCA) is a simplified and lower-cost version of the Telecommunications Computing Architecture (TCA) standard. INCA aims to simplify deployment and integration of TCA platforms for a wider range of industrial applications. Key features of INCA include compatibility with AMC modules, simplified system management, and support for custom hardware integration using lean mezzanine cards without management features. INCA is being developed as an open standard by an industry alliance to promote wider adoption of modular computing architectures.
Join us for an exciting and informative preview of the broadest range of next-generation systems optimized for tomorrow’s data center workloads, Powered by 4th Gen Intel® Xeon® Scalable Processors (formerly codenamed Sapphire Rapids).
Experts from Supermicro and Intel will discuss how the upcoming Supermicro X13 systems will enable new performance levels utilizing state-of-the-art technology, including DDR5, PCIe 5.0, Compute Express Link™ 1.1, and Intel® Advanced Matrix Extensions (Intel AMX).
Heterogeneous Computing on POWER - IBM and OpenPOWER technologies to accelera...Cesar Maciel
Heterogeneous computing refers to systems that use more than one kind of processor and direct applications to run in the processor that is the most efficient for that specific task. Power Systems servers based on the POWER8 processor support several accelerators that are integrated into the system to improve the efficiency of an application.
Hyper-threading (Xeon Microprocessor by intel) Oshin Kandpal
Hyper-threading is the concept given by Intel to promote simultaneous multithreading. It increases the throughput of the system drastically. Enables to process series of threads at the same time.Hyper-Threading technology creates two virtual processing cores for each physical core present in a CPU. It increases the efficiency of the system. It increases thread level parallelization.
The document discusses and compares several Intel processor architectures and product lines, including:
- Core 2 Duo, an older dual-core architecture that is being replaced by newer Intel processors.
- Core i3, i5, and i7, which use the newer Nehalem/Sandy Bridge/Ivy Bridge architectures. The Core i3 is the budget option with dual-cores while i5 and i7 have quad-cores.
- Differences between the architectures include instruction handling, number of threads, and features like Turbo Boost. The newer architectures generally provide better performance, even at similar clock speeds to older designs.
This document provides specifications for three virtual private server options from Serventus. It details the CPU, RAM, hard drive, and RAID configuration for each VPS level. The CPU uses Intel Core i7 processors for maximum performance. RAM is DDR3-1333 ECC memory to detect and correct errors. Hard drives are 1TB Seagate SATA HDDs optimized for storage capacity and power efficiency. RAID 10 configuration mirrors and stripes data across a minimum of four drives for redundancy and speed.
This document provides specifications for three virtual private server options from Serventus. It details the CPU, RAM, hard drive, and RAID configuration for each VPS level. The CPU uses Intel Core i7 processors for maximum performance. RAM is DDR3-1333 ECC memory to detect and correct errors. Hard drives are 1TB Seagate SATA HDDs optimized for storage capacity and power efficiency. RAID 10 configuration mirrors and stripes data across a minimum of four drives for redundancy and speed.
Yashi dealer meeting settembre 2016 tecnologie xeon intel italiaYashi Italia
The document discusses new infrastructure solutions for evolving needs, including private cloud, data analytics, performance improvement, and energy efficiency. It describes application-driven allocation of orchestrated compute, network, and storage resources that can be automatically provisioned and managed. The document also covers customized Intel hardware and software optimizations for network applications, including Intel QuickAssist technology, Intel Ethernet controllers, and reliability profiles.
This document discusses three key artificial intelligence capabilities of IBM's Power9 architecture:
1) Large Memory Support enables processing of high-definition images and large models that exceed GPU memory limits.
2) Distributed Deep Learning allows scaling to multiple servers for faster and more accurate training on large datasets.
3) PowerAI Vision provides tools for labeling data, training models for computer vision tasks, and deploying models for production use.
This document discusses the benefits of using Linux on IBM Power systems servers. It claims that Power systems can reduce costs through higher performance, consolidation, and open source software like KVM and OpenStack. It seeks to dispel myths that Power systems are expensive, that virtualization is different, and that the architecture is closed. It provides examples of using Power systems with Linux to gain performance advantages for applications like SAP and databases through higher core counts, memory and bandwidth compared to x86 servers.
From Rack scale computers to Warehouse scale computersRyousei Takano
This document discusses the transition from rack-scale computers to warehouse-scale computers through the disaggregation of technologies. It provides examples of rack-scale architectures like Open Compute Project and Intel Rack Scale Architecture. For warehouse-scale computers, it examines HP's The Machine project using application-specific cores, universal memory, and photonics fabric. It also outlines UC Berkeley's FireBox project utilizing 1 terabit/sec optical fibers, many-core systems-on-chip, and non-volatile memory modules connected via high-radix photonic switches.
Webinář: Dell VRTX - datacentrum vše-v-jednom za skvělou cenu / 7.10.2013Jaroslav Prodelal
Dokážete si představit, že byste provozovali své datacentrum v prostředí kanceláře? Ano, je to možné. Společnost Dell uvedla na trh novinku v podobě tzv. datacenter-in-a-box (vše-v-jednom), které je optimalizované (odhlučnění, napájení) pro provoz i v kanceláři, samozřejmě jej můžete dát i do samostatné místnosti.
Dell VRTX kombinuje v jediném 5U šasí výpočetní výkon (až 4 2-CPU servery), diskové úložiště (až 24 HDD) a síť.
Ve webináři vás seznámíme s touto cenově velmi zajímavou novinkou a ukážeme rozdíl mezi tímto řešením a případnými alternativami v době samostaných serverů, diskového pole a síťových switchů.
Agenda:
* co je Dell VRTX?
* segment zákazníků pro VRTX
* co VRTX nabízí
* řešení provozované na VRTX
* technické specifikace
* možná použití
* cena
* aktuální nabídky a promo akce
This document discusses network topology offloading using intelligent network interface cards (NICs). It proposes using a programmable network processor like the Netronome NFP3200 to implement complex network topologies in software and offload the data and control planes for network functions like switching, firewalls, and load balancing. Example topologies are presented to demonstrate how virtual machines could be connected using common network elements like switches implemented entirely in the network processor.
The NVIDIA Tegra processor uses a heterogeneous multi-processor architecture with eight specialized processors to optimize performance and battery life for mobile devices. These include processors for graphics, video encoding and decoding, image processing, audio, and general purposes. Each processor is independently power managed to minimize power usage. This allows the Tegra to deliver high-performance for tasks like gaming and web browsing while also providing exceptional battery life of days for typical use cases like audio playback.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Advantech Platforms For 10 Gig E Networking On Xeon 5500 V1
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Advantech Platforms for 10 GigE networking
on Intel® Xeon® Processor 5500 Series
While we have numerous methods of measuring performance in terms of absolute values it is also a
matter of perspective and relativity. Driving at 70mph on the freeway is very fast relative to our own
walking or even running pace but pales in comparison to a 200mph race car, let alone a Mach2 fighter
plane. A chain is only as strong as its weakest link and as such we are always striving to improve that
“weak link.” So it is with any computer or network system platform. When we had to deal with a mere
10 or even 100Mbps on the network side, processors had no issue keeping up. As we moved to GigE
with first 1 and now 10 GigE the weak link or bottleneck would switch between processing capacity and
network bandwidth. With the introduction of Intel's latest‐generation microarchitecture (Nehalem) and
the Intel® Xeon® Processor 5500 Series we are witnessing the next step in the evolution of parallel multi‐
core processing, providing unprecedented performance and dynamic scalability. Enabling the next
generation of packaged application server platforms and ATCA blades, Nehalem processors will be there
to “suck up” that 10 GigE traffic. The perfect solution for performance hungry, high bandwidth, deep
packet inspection, security and other content aware applications.
Processor Evolution
When it comes to examining the evolution of processor performance or for that matter most of the
technology that now surrounds us Moore’s law comes to mind. Gordon Moore, a co‐founder of Intel,
observed back in 1965 that the number of transistors that could be crammed into an integrated circuit
was doubling approximately every two years. We have made great leaps in our processor innovation
and no longer simply add more and more resistors; however, Moore’s law has been expanded and is
often used to describe the overall evolution of performance, size, capacity and price. For example a PC
will halve in price for a technology that may be 2 years old and the price for latest models remains static
while performance and capacities double. The Intel® Xeon® Processor 5500 Series is the fastest yet.
How Fast is Fast Enough
Why faster and faster, won’t there be a point in time when we have all the speed we need? Over the
years numerous industry pundits and economists have claimed, on more than one occasion, that
Moore’s law and the “need for speed” were due to become irrelevant. The claims that computing and
new distributed architectures had become as fast as necessary making further processor enhancements
moot reminds us of the often quoted Charles H. Duell (Commissioner, U.S. patent office, 1899), who was
reputed to have claimed, “Everything that can be invented has been invented.” Before we move on to
look at Intel’s Nehalem (Intel® Xeon® Processor 5500 Series) and why there are still numerous
applications that will benefit from increased speed and capacity its worth considering one last law –
Parkinson’s law. Originally coined in an essay published in The Economist in 1955, Cyril Parkinson stated
that “Work expands so as to fill the time available for its completion.” Having taken on numerous guises
there are variations clearly appropriate for the computing & communications industry. “Data expands to
fill the space available for storage,” or “Network traffic will fill available bandwidth” and of course
“applications will grow to exceed the capabilities of processor performance.”
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We can all think of examples, both personally and professionally, where computer systems we have
owned that previously performed just fine, ground to a halt when new and “upgraded” versions of
application and operating system software were installed. That just shows Parkinson’s law at work,
luckily we have Moore’s law that comes to the rescue! There will always be a new application that
requires extra horse power to work at its best and our need to enable greater functionality in smaller
footprints has no end in sight. Hence the welcome introduction of the next evolutionary step in
processor technology. With up to four high performance cores, greater parallelism for increased
instructions per cycle, simultaneous multi‐threading, potentially doubling the number of executing
threads per processor, and built in application accelerators, Intel’s Tylersburg‐EP/Nehalem‐EP Platform
provides an abundance of speed, power and bandwidth for the most demanding of applications.
TylersburgEP/NehalemEP Platform
The Intel® Core™ i7 processor, the first example of Intel’s new microarchitecture (Nehalem), hit the
streets last year with screaming performance. Based on the same Intel® 45nm hi‐k metal gate silicon
technology, there is now a range of extended life processors ‐ the Nehalem EP. With 4 primary versions
including two with low power envelopes, the Tylersburg‐EP/Nehalem‐EP Platform with its parallel
processing engine, represents the perfect marriage of superb performance, scalability and energy
efficiency. The Intel® Microarchitecture (Nehalem) includes:
Dynamic scalability, managed cores, threads, cache, interfaces, and power for energy‐efficient
performance on demand.
Intel® Turbo Boost Technology delivers additional
performance automatically when needed by taking
advantage of the processor's power and thermal
headroom. This enables increased performance of
both multi‐threaded and single‐threaded workloads.
Intel® Hyper‐Threading Technology brings high‐
performance applications into mainstream computing
with 1‐16+ threads optimized for a new generation
multi‐core processor architecture.
Figure 1. Intel®Turbo Boost Technology
Design and performance scalability for complex,
performance hungry application with support for
dual and quad cores and up to 16+ threads with
Intel® Hyper‐Threading Technology (Intel® HT
Technology), and scalable cache sizes, system
interconnects, and integrated memory
controllers.
Scalable shared memory of Intel® QuickPath
technology features memory distributed to each
processor with integrated memory controllers
Figure 2. Intel® Hyper‐Threading Technology
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and high‐speed point‐to‐point interconnects to unleash the performance of future versions of
next‐generation Intel® multi‐core processors.
An Integrated Memory Controller supports high‐speed, three‐channel DDR3 memory.
By eliminating the front‐side bus (FSB) found in previous chips and by taking advantage of DDR3
memory the new on‐die memory controller enables higher capacity (to 96GB), higher
performance, and lower power than DDR2‐based systems. The new architecture significantly
reduces memory latency and memory bandwidth is boosted to up to 25.6 GB/s per CPU.
Multi‐level shared cache improves performance and efficiency by reducing latency to frequently
used data.
The Tylersburg‐EP/Nehalem‐EP Platform comprises the Intel® Xeon® Processor 5500 series processors
along with the Intel® 5520 chipset or 36D I/O hub with 36 PCIe 2.0 lanes. The 5500 series has 4 versions;
the E5504 (dual core) and E5540 (quad core) both in 80W packages, and for power efficiency the L5518
and L5508 rated at 60W and 38W respectively, both with quad cores.
All of the Nehalem EP 5500 series processors have extended life support, however the L5518 and L5508
both have High Tcase for constant performance during temperature excursions making them perfect for
NEBs Level 3 and ATCA certifications. The performance, flexibility, low power and packaging of the 5500
series makes them the perfect choice for demanding Storage, Medical, Security, and Communications
Infrastructure applications.
Multi core designs don’t in themselves enable greater performance unless you can feed and manage
them efficiently and optimize software execution to gain every last ounce of benefit from those extra
cores. The Intel® Xeon® 5500 series processors have a number of innovative enhancements that deliver
on the promise of multi core execution.
Greater Parallelism increases the amount of instructions that can be run “out of order.” This enables
more simultaneous processing and overlap latency. To be able to identify more independent
operations that can be run in parallel, Intel increased the size of the out‐of‐order window and
scheduler, giving them a wider window from which to look for these operations. Intel also increased
the size of the other buffers in the core to ensure they wouldn’t become a limiting factor.
Simultaneous multi‐threading (SMT) for enabling a more energy efficient means of increasing
performance for multi‐threaded workloads. The next generation microarchitecture’s SMT capability
enables running two simultaneous threads per core—an amazing eight simultaneous threads per
quad‐core processor and 16 simultaneous threads for dual‐processor quad‐core designs.
Application Targeted Accelerators extend the capabilities of Intel® architecture by adding
performance‐optimized, low‐latency, lower power fixed‐function accelerators on the processor die
to benefit specific applications. There are seven Application Targeted Accelerators included in the
next generation microarchitecture providing new string and text processing instructions to improve
performance of string and text processing operations. For example, they enable parsing of XML
strings and text at a much higher speed. These Application Targeted Accelerators will be useful for
lexing, tokenizing, regular expression evaluation, virus scanning, and intrusion.
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EndtoEnd Hardware Virtualization
Intel has made significant enhancements in the area of next‐generation Intel® Virtualization Technology
by adding new hardware‐assist capabilities across all elements in the processing platform:
• In the Processor:
Improvements to Intel® VT‐x provides hardware‐assisted page‐table management, allowing the
guest OS more direct access to the hardware and reducing compute‐intensive software
translation from the VMM or Virtual Machine Monitor. Intel® VT‐x also includes capabilities for
flexible workload migration and performance optimization.
• In the Chipset:
Intel® VT‐d helps speed data movement and eliminates much of the performance overhead by
giving designated virtual machines their own dedicated I/O devices, thus reducing the overhead
of the VMM in managing I/O traffic.
• And last but not least Virtualization has been carried through to the Network Adapter where:
Intel® VT‐c further enhances I/O solutions by integrating extensive hardware assists into the I/O
devices used to connect servers to the core network, storage infrastructure and other external
devices. By performing routing functions to and from virtual machines in dedicated network
silicon, Intel® VT‐c speeds delivery and reduces the load on the Virtual Machine Monitor (VMM)
and server processors, providing up to two times the throughput of non‐hardware‐assisted
devices.
All of this is great news for networking and telecom systems where packet processing takes place over
multiple network interfaces and can take full advantage of end‐to‐end hardware virtualization to
maximize I/O performance.
Getting the most out of 10 GigE
The design enhancements in Intel’s new 82599 10 Gigabit Ethernet controller play a main role in end‐to‐
end network performance and throughput. Compared to the previous generation Intel® 82598, the
Intel® 82599 is packed with new and improved features contributing to up to 2.5 times improvement in
LAN throughput. Advantech’s latest platforms based on the Intel® Xeon®processor 5500 series provide
the architectural elements, such as higher processing power, new local memory architecture, and faster
PCI Express 2.0 I/O interface bus, to enable increased levels of 10GbE scalability. Corresponding
hardware optimizations in the Intel® 82599 include a new PCI Express 2.0 interface (5 Gbps) to improve
the entire data path as well as intelligent queue support (VMDq) optimized for multi‐core processors.
The controller itself is a 6 watt single‐chip, dual‐port 10GbE implementation in a 25x25 mm package. It
helps to reduce BOM cost and design complexity by integrating serial 10GbE PHYs including SFP+
support. Wide internal data paths eliminate performance bottlenecks by efficiently handling large
address and data words. The controller also includes advanced interrupt‐handling features and uses
efficient ring‐buffer descriptor data structures, with up to 64 packet descriptors. A large on‐chip packet
buffer maintains superior performance.
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With industry‐leading power consumption, a small footprint, and integrated PHYs, the controller is
ideally suited for ATCA blades like the Advantech MIC‐5320 and for mezzanine card implementations
used on Advantech’s FWA‐6500.
The Intel® Tylersburg‐EP/Nehalem‐EP Platform enables the next step up for architects, engineers and
product marketers alike. Through the utilization of processors bridging multiple generations,
performance levels and price points, building a compatible and scalable full range solution becomes
even easier. Advantech can supply pre‐packaged compact servers and ATCA blades covering the full
spectrum, leveraging the full advantage of software compatibility and greater scalability.
Advantech products
MIC5320 AdvancedTCA 1GigE / 10GigE CPU Blade with Intel® Xeon® 5500 Series Processor
Advantech’s MIC‐5320 single‐slot AdvancedTCA® processor blade
combines computing performance with I/O flexibility in a power
efficient design. Supporting Intel’s® latest Xeon® 5500 series
processors using the Nehalem architecture and latest DDR3
technology with a 3 channel memory controller integrated into the
CPU, the MIC‐5320 outperforms previous generation dual socket
designs. Even with such an increase in power the MIC‐5320 has
excellent thermal characteristics. With built in Westmere readiness,
there is a smooth upgrade path to future processors that are able to
support more than 4 cores.
Using Intel’s latest GbE and 10GE MAC solutions supporting enhanced
offloading techniques and virtualization features users are able to
deploy the full power of this innovative multi‐core technology. The
MIC‐5320 is a versatile solution, combining the most powerful multi
core technology, low latency/high speed DDR3 memory subsystem
and latest 10GE technology, this AdvancedTCA Blade is well suited for
high speed data plane applications. Supporting up to 48GB of
Figure 3. MIC‐5320 ATCA Blade
memory this blade can run database in memory applications easily ‐
backed up by a 4 channel SAS RAID controller that makes the blade equally suitable for control plane
applications that require disk IO with RAID and failover support.
The mid size AMC bay supports more than just mass storage AMCs. With support for PCIe x4 gen 2 as
well as base fabric channels and telco clocks interfaces, it opens up possibilities for high speed IO
interface integration, telco backhaul interface modules and co‐processing engines. In addition to
utilizing the chipset’s RASUM features, redundant firmware hubs and onboard USB disks, BIOS and
firmware enhancements to support CMOS backup, override and HPM.1 upgradeability make this blade a
true carrier grade solution.
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MIC‐5320’s overall design and built in flexibility using FPGA technology and RTM customization
broadens the application fields for this product and reduces time to market. The dual processor version
(MIC‐5322) targets specialized applications where enhanced features are required. Advantech’s world
class customization services are ready to tune the blades to customer specific requirements. The
standard features of the MIC‐5320 include:
One Quad Core Intel® Xeon® Processor 5500 Series (Westmere Ready)
Intel® 5520 / ICH10R server class chipset
6 DDR3 VLP DIMMs up to 48GB with ECC support
Two XAUI ports on Fabric interface (Intel® 82599)
Two 1000Base‐Tx ports on Base interface (Intel® 82576)
Three 1000Base‐BT front panel ports (Intel® 82599)
One mid size AMC slot with SAS/PCIe/RTM/CLK support
Onboard Serial Attached SCSI (SAS) controller with failover support
fully managed, hot swappable RTM
FWA6500 Network Application Platform with Dual Quad Core Xeon®5500 Series
Processors
The FWA‐6500 is an innovative and versatile multi‐gigabit network application platform based on similar
core design blueprints as Advantech’s MIC‐5320 AdvancedTCA (ATCA) Blade. It comes with two quad‐
core Intel® Xeon® Processor 5500’s in an enterprise server form factor aimed at the next wave of high
performance networking applications.
Network connectivity is fast and
flexible with up to 16 front
accessible GE ports supported by
4 quad Ethernet modules based
on the Intel® 82576 or with
multiple dual 10GE modules
based on the brand new Intel®
82599 dual 10 GbE controller.
The modules plug in to a 32‐way
PCI Express mid‐plane providing
the high speed interconnects to
the IO controller hub which makes
the system fly. Both RJ45 or SFP
Figure 4. FWA‐6500
based modules can be supported
and can be mixed and matched as required. Two further PCIe x4 slots are available internally for
standard add‐in cards for offload purposes or NPU co‐processing.
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The combination of the latest Intel® processors, chipset and Ethernet controllers in one platform
providing acceleration and off‐
loading features gives customers the
combination of performance and IO
scalability they have been waiting
for. The system incorporates up to
96GB of DDR3 memory making it
perfect for extreme speed,
persistent, in‐memory database
applications where performance and
reliability are key. To increase the
FWA‐6500’s flexibility and fault
tolerance level, two swappable SATA
hard drives and a 2U redundant
power supply are integrated into the
base model. An internal remote
management board provides Serial
Figure 5. FWA‐6500 Core Architecture with GigE & 10 GigE modules
and USB connectivity as well as two
LAN ports for remote & out of band
management. IPMI 2.0 is supported along with remote monitoring and power cycling and the ability to
access the console via the LAN (SoL). The system has been designed with NEBS in mind to address more
stringent telecom environments extending beyond the enterprise and data center.
Software Choice
To get the most out of a processing system based on the Tylersburg‐EP/Nehalem‐EP Platform, software
must play its part and be capable of making the most of these multi core engines. Advantech has a
proven track record of building strategic partner relationships with the existing core software providers
as well as the new emerging players to ensure their customer can obtain the best combination of
hardware and software. As with the existing range of flexible computing and communications
application platforms and high performance blades Advantech will make available a variety of industry
leading operating system choices and application enabling software for server and carrier grade
applications.
Summary
With the introduction of the Advantech MIC‐5320 & FWA‐6500 both supporting the Intel® Nehalem
Microarchitecture and Xeon®5500 series processors one can gain access to the latest technology in
multiple form factors – the best of all worlds. Advantech, as a seasoned provider of computing and
communications solutions, is the ideal partner to help create high performance, optimized and cost
efficient platforms for a broad range of today’s applications.
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Advantech provides mission critical hardware to the leading telecom and networking equipment
manufacturers. Our products are embedded in OEM equipment that the world’s communications
infrastructure depends upon. With an extensive deployed base, Advantech designs both standard and
customized products for AdvancedTCA, AdvancedMC, MicroTCA and INCA. We team up locally with
customers to evaluate project requirements, share design knowledge and develop optimized solutions
together—all backed up with global deployment expertise with logistics and integration centers on all
major continents.
For more information on these products and Advantech’s range of communications and computing
solutions visit http://www.advantech.com/NCG
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