In the CXL Forum Theater at SC23, MemVerge presented an overview of Elastic Memory software for pooled memory, and QEMU VMs that emulate expansion cards and pooling systems.
During the CXL Forum at OCP Global Summit, memory system architect Jungmin Choi of SK hynix talks about the need for memory bandwidth and capacity, and the SK hynix Niagara solution.
Factored Operating Systems (fos) - The Case for a Scalable Operating System for Multicores - Designing a new operating system targeting manycore
systems with scalability as the primary design constraint,
where space sharing replaces time sharing to increase
scalability.
During the CXL Forum at OCP Global Summit, Michael Ocampo of Astera Labs explained the problem of the memory wall, and how CXL memory powered by Astera Labs can break through
The document discusses the scalability issues of contemporary operating systems as multi-core processors increase exponentially. It introduces the concept of a factored operating system (FOS) as an alternative designed for 1000+ core systems. FOS avoids using locks, separates OS and application resources, and replaces shared memory communication with messaging. The key aspects of FOS include running a microkernel on each core for fast messaging, having multiple server instances of each OS service to scale, and scheduling OS and applications on different cores. FOS aims to overcome the scalability limitations of current OS designs for future many-core chips.
Taming Non-blocking Caches to Improve Isolation in Multicore Real-Time SystemsHeechul Yun
In this paper, we show that cache partitioning does
not necessarily ensure predictable cache performance in modern
COTS multicore platforms that use non-blocking caches to exploit
memory-level-parallelism (MLP).
Through carefully designed experiments using three real COTS
multicore platforms (four distinct CPU architectures) and a cycleaccurate
full system simulator, we show that special hardware
registers in non-blocking caches, known as Miss Status Holding
Registers (MSHRs), which track the status of outstanding cachemisses,
can be a significant source of contention; we observe up
to 21X WCET increase in a real COTS multicore platform due
to MSHR contention.
We propose a hardware and system software (OS) collaborative
approach to efficiently eliminate MSHR contention for
multicore real-time systems. Our approach includes a low-cost
hardware extension that enables dynamic control of per-core
MLP by the OS. Using the hardware extension, the OS scheduler
then globally controls each core’s MLP in such a way that
eliminates MSHR contention and maximizes overall throughput
of the system.
We implement the hardware extension in a cycle-accurate fullsystem
simulator and the scheduler modification in Linux 3.14
kernel. We evaluate the effectiveness of our approach using a set
of synthetic and macro benchmarks. In a case study, we achieve
up to 19% WCET reduction (average: 13%) for a set of EEMBC
benchmarks compared to a baseline cache partitioning setup.
Amazon EC2 provides a broad selection of instance types to deliver high performance for a diverse mix of applications. In this session, we overview the drivers of system performance and discuss in depth how Amazon EC2 instances deliver system performance while also providing elasticity and complete control over your infrastructure. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
In the CXL Forum Theater at SC23 hosted by MemVerge, the Open Compute Project provided an overview of CXL, as well as CXL-related hardware and software projects at OCP
During the CXL Forum at OCP Global Summit, memory system architect Jungmin Choi of SK hynix talks about the need for memory bandwidth and capacity, and the SK hynix Niagara solution.
Factored Operating Systems (fos) - The Case for a Scalable Operating System for Multicores - Designing a new operating system targeting manycore
systems with scalability as the primary design constraint,
where space sharing replaces time sharing to increase
scalability.
During the CXL Forum at OCP Global Summit, Michael Ocampo of Astera Labs explained the problem of the memory wall, and how CXL memory powered by Astera Labs can break through
The document discusses the scalability issues of contemporary operating systems as multi-core processors increase exponentially. It introduces the concept of a factored operating system (FOS) as an alternative designed for 1000+ core systems. FOS avoids using locks, separates OS and application resources, and replaces shared memory communication with messaging. The key aspects of FOS include running a microkernel on each core for fast messaging, having multiple server instances of each OS service to scale, and scheduling OS and applications on different cores. FOS aims to overcome the scalability limitations of current OS designs for future many-core chips.
Taming Non-blocking Caches to Improve Isolation in Multicore Real-Time SystemsHeechul Yun
In this paper, we show that cache partitioning does
not necessarily ensure predictable cache performance in modern
COTS multicore platforms that use non-blocking caches to exploit
memory-level-parallelism (MLP).
Through carefully designed experiments using three real COTS
multicore platforms (four distinct CPU architectures) and a cycleaccurate
full system simulator, we show that special hardware
registers in non-blocking caches, known as Miss Status Holding
Registers (MSHRs), which track the status of outstanding cachemisses,
can be a significant source of contention; we observe up
to 21X WCET increase in a real COTS multicore platform due
to MSHR contention.
We propose a hardware and system software (OS) collaborative
approach to efficiently eliminate MSHR contention for
multicore real-time systems. Our approach includes a low-cost
hardware extension that enables dynamic control of per-core
MLP by the OS. Using the hardware extension, the OS scheduler
then globally controls each core’s MLP in such a way that
eliminates MSHR contention and maximizes overall throughput
of the system.
We implement the hardware extension in a cycle-accurate fullsystem
simulator and the scheduler modification in Linux 3.14
kernel. We evaluate the effectiveness of our approach using a set
of synthetic and macro benchmarks. In a case study, we achieve
up to 19% WCET reduction (average: 13%) for a set of EEMBC
benchmarks compared to a baseline cache partitioning setup.
Amazon EC2 provides a broad selection of instance types to deliver high performance for a diverse mix of applications. In this session, we overview the drivers of system performance and discuss in depth how Amazon EC2 instances deliver system performance while also providing elasticity and complete control over your infrastructure. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
In the CXL Forum Theater at SC23 hosted by MemVerge, the Open Compute Project provided an overview of CXL, as well as CXL-related hardware and software projects at OCP
This document discusses Oracle Cloud Infrastructure compute services. It describes the differences between bare metal instances, virtual machines, and dedicated hosts. It provides an overview of Oracle-provided images, bringing your own images, and creating custom images. Instance configurations, pools, and autoscaling policies are also covered. The document discusses instance metadata and lifecycle states like starting, stopping, rebooting, and terminating instances. It provides examples of using the instance metadata service and describes how billing works for different instance shapes depending on their state.
Shared Memory Centric Computing with CXL & OMIAllan Cantle
Discusses how CXL can be better utilized as a separate Fabric Cache domain to a processors own Local Cache Domain. This is done by leveraging a Shared Memory Centric architectures that utilize both the Open Memory Interface OMI, and Compute eXpress Link, CXL, for the memory ports.
This document discusses Oracle Cloud Infrastructure compute options including bare metal instances, virtual machine instances, and dedicated hosts. It provides details on instance types, images, volumes, instance configurations and pools, autoscaling, metadata, and lifecycle. Key points covered include the differences between bare metal, VM, and dedicated host instances, bringing your own images, customizing boot volumes, using instance configurations and pools for management and autoscaling, and accessing instance metadata.
During the CXL Forum at OCP Global Summit, Mahesh Wagh, CXL Consortium TTF Co-chair and Senior Fellow at AMD, presented and update of the CXL Consortium mission and road map.
AWS re:Invent 2016: Securing Container-Based Applications (CON402)Amazon Web Services
Containers have had an incredibly large adoption rate since Docker was launched, especially from the developer community, as it provides an easy way to package, ship, and run applications. Securing your container-based application is now becoming a critical issue as applications move from development into production. In this session, you learn ways to implement storing secrets, distributing AWS privileges using IAM roles, protecting your container-based applications with vulnerability scans of container images, and incorporating automated checks into your continuous delivery workflow.
AWS re:Invent 2016: Securing Container-Based Applications (CON402)Amazon Web Services
This document discusses securing container-based applications. It covers container and OS security best practices like using Linux namespaces and cgroups for isolation, reducing the container attack surface, and hardening container images. It also discusses securing the container lifecycle through vulnerability scanning, configuration governance with Amazon ECS, and using secrets management. Finally, it shows how to automate security deployments through the CI/CD pipeline and tools like CloudFormation and CodeDeploy.
1) Amazon EC2 provides scalable compute capacity in the cloud via virtual machine instances. Instances are launched from templates called AMIs and are categorized into different types based on their compute, memory, and storage capabilities.
2) EC2 offers benefits like elasticity, full control and configuration of instances, a wide variety of options for operating systems and software, high reliability through rapid provisioning of replacement instances, and manageability via AWS management consoles and APIs.
3) Key EC2 concepts include AMIs, instance types, EBS for persistent storage, security groups for access control, and billing based on hourly or per-second usage of instances and storage.
The document discusses various code optimization techniques for embedded C programming, including:
1) Floating-point to fixed-point conversion to reduce cycle count and energy consumption.
2) Array folding and loop tiling/blocking to improve memory usage and locality of references.
3) Loop splitting to improve efficiency by handling regular and exception cases separately.
4) Simple loop transformations like unrolling to reduce overhead and improve speed.
Dynamic memory allocation is discouraged in safety-critical embedded systems like avionics in favor of more predictable allocators like stack-based, thread-local, and in-memory databases to increase performance, stability, and predictability.
CXL is an open standard for connecting CPUs, GPUs, and accelerators that maintains memory coherency. It aims to provide high-speed, low-latency connections while enabling these devices to directly access each other's memory. CXL builds on PCIe physically but introduces new protocols for memory coherency and acceleration that make it well-suited for AI, machine learning, and high performance computing workloads. CXL devices come in three types - Type 1 devices have caches, Type 2 devices have local memory accessible by the CPU, and Type 3 devices are memory expanders.
SRV402 Deep Dive on Amazon EC2 Instances, Featuring Performance Optimization ...Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and Accelerated Computing (GPU and FPGA) instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Deterministic Memory Abstraction and Supporting Multicore System ArchitectureHeechul Yun
Presentation slides of the following paper at ECRTS'18.
Farzad Farshchi, Prathap Kumar Valsan, Renato Mancuso, Heechul Yun. "Deterministic Memory Abstraction and Supporting Multicore System Architecture." Euromicro Conference on Real-Time Systems (ECRTS), 2018
The document discusses Amazon Web Services (AWS) options for deploying a web application called Beer Survey from development to production. It describes using EC2 instances, RDS databases, S3 buckets, Elastic Load Balancers, and CloudFront for the development and production environments. The architectures discussed include using Node.js and MySQL on EC2 instances with a load balancer and CloudFront distribution in production.
Multiprocessor systems can improve performance over single CPU systems by utilizing multiple processors that share memory and resources. However, scaling the number of processors is challenging due to bottlenecks like shared bus bandwidth. Various multiprocessor architectures aim to improve scalability, including cache consistency protocols, crossbar switches, and non-uniform memory access designs. Effective parallelization of workloads and careful management of shared data is also important. Implementing an operating system for multiprocessors presents challenges like concurrency in the kernel and efficient synchronization between processors.
Solid State Drive Technology - MIT Lincoln LabsMatt Simmons
Solid State Drive technology uses NAND flash memory instead of spinning disks. NAND flash uses floating gate transistors to store data in individual cells. It reads and writes data in pages of 4KB but erases in larger blocks. SSD performance depends on factors like cell type (SLC, MLC, TLC), controller, and flash chips used. Over time and with writes, cells degrade and must be garbage collected. TRIM and discard commands help optimize SSD performance and longevity by informing the drive of deleted data.
CloudStack is an open-source cloud computing platform that provides infrastructure as a service. It supports various hypervisors and storage types, and allows for multi-tenancy and isolation between users/organizations. CloudStack provides tools for provisioning, managing, and monitoring virtual machines and cloud infrastructure resources.
AWS re:Invent 2016: Deep Dive on Amazon EC2 Instances, Featuring Performance ...Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
- The document discusses IBM's cloud storage options, including IBM XIV, SAN Volume Controller, Elastic Storage Server, IBM Spectrum Archive, and IBM Spectrum Storage software-defined storage offerings. It also covers unified file and object storage with IBM Spectrum Scale and IBM Cloud Object Storage.
- The presentation covers topics such as business continuity, IBM's cloud storage options, IBM Cloud Object Storage, converged and hyperconverged environments, storage tiering, and IBM Spectrum Scale for file and object storage.
- IBM offers various cloud storage solutions including block, file, object, reference, hosted, ephemeral, and persistent storage options that can be deployed on-premises or off-premises.
Q1 Memory Fabric Forum: ZeroPoint. Remove the waste. Release the power.Memory Fabric Forum
Nilesh Shah provide an overview of the ZeroPoint portable, hardware IP portfolio for lossless memory compression and compaction. The IP boosts memory capacity 2-4x, bandwidth and performance/watt by 50%, and is 1,000x faster than competitors.
This document discusses Oracle Cloud Infrastructure compute services. It describes the differences between bare metal instances, virtual machines, and dedicated hosts. It provides an overview of Oracle-provided images, bringing your own images, and creating custom images. Instance configurations, pools, and autoscaling policies are also covered. The document discusses instance metadata and lifecycle states like starting, stopping, rebooting, and terminating instances. It provides examples of using the instance metadata service and describes how billing works for different instance shapes depending on their state.
Shared Memory Centric Computing with CXL & OMIAllan Cantle
Discusses how CXL can be better utilized as a separate Fabric Cache domain to a processors own Local Cache Domain. This is done by leveraging a Shared Memory Centric architectures that utilize both the Open Memory Interface OMI, and Compute eXpress Link, CXL, for the memory ports.
This document discusses Oracle Cloud Infrastructure compute options including bare metal instances, virtual machine instances, and dedicated hosts. It provides details on instance types, images, volumes, instance configurations and pools, autoscaling, metadata, and lifecycle. Key points covered include the differences between bare metal, VM, and dedicated host instances, bringing your own images, customizing boot volumes, using instance configurations and pools for management and autoscaling, and accessing instance metadata.
During the CXL Forum at OCP Global Summit, Mahesh Wagh, CXL Consortium TTF Co-chair and Senior Fellow at AMD, presented and update of the CXL Consortium mission and road map.
AWS re:Invent 2016: Securing Container-Based Applications (CON402)Amazon Web Services
Containers have had an incredibly large adoption rate since Docker was launched, especially from the developer community, as it provides an easy way to package, ship, and run applications. Securing your container-based application is now becoming a critical issue as applications move from development into production. In this session, you learn ways to implement storing secrets, distributing AWS privileges using IAM roles, protecting your container-based applications with vulnerability scans of container images, and incorporating automated checks into your continuous delivery workflow.
AWS re:Invent 2016: Securing Container-Based Applications (CON402)Amazon Web Services
This document discusses securing container-based applications. It covers container and OS security best practices like using Linux namespaces and cgroups for isolation, reducing the container attack surface, and hardening container images. It also discusses securing the container lifecycle through vulnerability scanning, configuration governance with Amazon ECS, and using secrets management. Finally, it shows how to automate security deployments through the CI/CD pipeline and tools like CloudFormation and CodeDeploy.
1) Amazon EC2 provides scalable compute capacity in the cloud via virtual machine instances. Instances are launched from templates called AMIs and are categorized into different types based on their compute, memory, and storage capabilities.
2) EC2 offers benefits like elasticity, full control and configuration of instances, a wide variety of options for operating systems and software, high reliability through rapid provisioning of replacement instances, and manageability via AWS management consoles and APIs.
3) Key EC2 concepts include AMIs, instance types, EBS for persistent storage, security groups for access control, and billing based on hourly or per-second usage of instances and storage.
The document discusses various code optimization techniques for embedded C programming, including:
1) Floating-point to fixed-point conversion to reduce cycle count and energy consumption.
2) Array folding and loop tiling/blocking to improve memory usage and locality of references.
3) Loop splitting to improve efficiency by handling regular and exception cases separately.
4) Simple loop transformations like unrolling to reduce overhead and improve speed.
Dynamic memory allocation is discouraged in safety-critical embedded systems like avionics in favor of more predictable allocators like stack-based, thread-local, and in-memory databases to increase performance, stability, and predictability.
CXL is an open standard for connecting CPUs, GPUs, and accelerators that maintains memory coherency. It aims to provide high-speed, low-latency connections while enabling these devices to directly access each other's memory. CXL builds on PCIe physically but introduces new protocols for memory coherency and acceleration that make it well-suited for AI, machine learning, and high performance computing workloads. CXL devices come in three types - Type 1 devices have caches, Type 2 devices have local memory accessible by the CPU, and Type 3 devices are memory expanders.
SRV402 Deep Dive on Amazon EC2 Instances, Featuring Performance Optimization ...Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and Accelerated Computing (GPU and FPGA) instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Deterministic Memory Abstraction and Supporting Multicore System ArchitectureHeechul Yun
Presentation slides of the following paper at ECRTS'18.
Farzad Farshchi, Prathap Kumar Valsan, Renato Mancuso, Heechul Yun. "Deterministic Memory Abstraction and Supporting Multicore System Architecture." Euromicro Conference on Real-Time Systems (ECRTS), 2018
The document discusses Amazon Web Services (AWS) options for deploying a web application called Beer Survey from development to production. It describes using EC2 instances, RDS databases, S3 buckets, Elastic Load Balancers, and CloudFront for the development and production environments. The architectures discussed include using Node.js and MySQL on EC2 instances with a load balancer and CloudFront distribution in production.
Multiprocessor systems can improve performance over single CPU systems by utilizing multiple processors that share memory and resources. However, scaling the number of processors is challenging due to bottlenecks like shared bus bandwidth. Various multiprocessor architectures aim to improve scalability, including cache consistency protocols, crossbar switches, and non-uniform memory access designs. Effective parallelization of workloads and careful management of shared data is also important. Implementing an operating system for multiprocessors presents challenges like concurrency in the kernel and efficient synchronization between processors.
Solid State Drive Technology - MIT Lincoln LabsMatt Simmons
Solid State Drive technology uses NAND flash memory instead of spinning disks. NAND flash uses floating gate transistors to store data in individual cells. It reads and writes data in pages of 4KB but erases in larger blocks. SSD performance depends on factors like cell type (SLC, MLC, TLC), controller, and flash chips used. Over time and with writes, cells degrade and must be garbage collected. TRIM and discard commands help optimize SSD performance and longevity by informing the drive of deleted data.
CloudStack is an open-source cloud computing platform that provides infrastructure as a service. It supports various hypervisors and storage types, and allows for multi-tenancy and isolation between users/organizations. CloudStack provides tools for provisioning, managing, and monitoring virtual machines and cloud infrastructure resources.
AWS re:Invent 2016: Deep Dive on Amazon EC2 Instances, Featuring Performance ...Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
- The document discusses IBM's cloud storage options, including IBM XIV, SAN Volume Controller, Elastic Storage Server, IBM Spectrum Archive, and IBM Spectrum Storage software-defined storage offerings. It also covers unified file and object storage with IBM Spectrum Scale and IBM Cloud Object Storage.
- The presentation covers topics such as business continuity, IBM's cloud storage options, IBM Cloud Object Storage, converged and hyperconverged environments, storage tiering, and IBM Spectrum Scale for file and object storage.
- IBM offers various cloud storage solutions including block, file, object, reference, hosted, ephemeral, and persistent storage options that can be deployed on-premises or off-premises.
Similar to MemVerge: Elastic Memory and QEMU.pptx (20)
Q1 Memory Fabric Forum: ZeroPoint. Remove the waste. Release the power.Memory Fabric Forum
Nilesh Shah provide an overview of the ZeroPoint portable, hardware IP portfolio for lossless memory compression and compaction. The IP boosts memory capacity 2-4x, bandwidth and performance/watt by 50%, and is 1,000x faster than competitors.
Q1 Memory Fabric Forum: Building Fast and Secure Chips with CXL IPMemory Fabric Forum
Gary Ruggles, Sr Product Manger for PCIe and CXL Controller IP, provides an provides example use cases for adoption of CXL, an introduction to Synopsys CXL IP Solutions, interop and proof points.
Q1 Memory Fabric Forum: Using CXL with AI Applications - Steve Scargall.pptxMemory Fabric Forum
MemVerge product manager and software architect Steve Scargall discusses key factors related to the use of CXL with AI apps including, memory expansion form factors, latency and bandwidth memory placement strategies, RDBMS investigation and results, vector database investigation, and results understanding your application behavior.
Q1 Memory Fabric Forum: Memory expansion with CXL-Ready Systems and DevicesMemory Fabric Forum
Ravi Gummaluri, Director, CXL System Architecture at Micron describes use cases for memory expansion with tiered DRAM and CXL memory, along with performance data.
Q1 Memory Fabric Forum: CXL-Related Activities within OCPMemory Fabric Forum
OCP steering committee member, and former President of the CXL Consortium, Siamak Tavallaei, provides an overview of CXL-related activities happening within the Open Compute Project.
Q1 Memory Fabric Forum: CXL Controller by Montage TechnologyMemory Fabric Forum
For CXL AIC and memory module designers, Nilesh Shah of Montage provides and overview of their CXL memory controller product, technology, and performance.
Nick Kriczsky and Gorden Getty provide an overview of Teledyne LeCroy’s Austin Labs portfolio of products to services including: 1) testing for protocol and electrical compliance, interoperability, data integrity, and performance, 2) In depth protocol training (PCIe, USB, NVMe, NVMe-oF, Fibre Channel), and 3) Automation (solutions for analysis, jamming, generation)
Ecosystem Alliance Manager Michael Ocampo talks about the CXL industry's effort to break through the memory wall, memory bound use cases, CXL for modular shared infrastructure, and critical CXL collaboration that's happening now.
Torry Steed, Sr. Product Marketing Manager at SMART Modular, provides an overview of CXL PCIe Add-in Cards (AICs) and memory modules that can be used to expand capacity in servers or in external memory pooling systems.
Torry Steed, Sr. Staff Product Manager at SMART Modular, covers the changing shape of memory leading to new categories of CXL form factors. He dives deeper to address EDSFF and AIC variations, mechanical sizes, installation locations, capacity considerations, and power ratings.
Q1 Memory Fabric Forum: Memory Fabric in a Composable SystemMemory Fabric Forum
Eddie McMorrow, Sr. Product Manager at GigaIO, defines composable infrastructure and memory fabrics, then provides and overview of the FabreX memory fabric.
MemVerge CEO Charles Fan describes why memory-hungry generative AI is a driver for CXL technology, the new computing model for AI, and MemVerge software for CXL and AI.
Q1 Memory Fabric Forum: Memory Processor Interface 2023, Focus on CXLMemory Fabric Forum
Thibault Grossi, Sr. Technology & Market Analyst, shares excerpts from the recently published report, Memory Processor Interface, Focus on CXL. The reports provides a taxonomy of CXL market segments and revenue forecasts through 2028.
Q1 Memory Fabric Forum: Micron CXL-Compatible Memory ModulesMemory Fabric Forum
Michael Abraham, Director of Product Management at Micron, discusses data center challenges, the memory and storage hierarchy, Micron CZ120 memory modules, database (TPC-H) improvements, AI inferencing improvements, and how to enabling in your company.
Q1 Memory Fabric Forum: Compute Express Link (CXL) 3.1 UpdateMemory Fabric Forum
OCP Steering Committee member and ex-President of the CXL Consortium, Siamak Tavallaei, provides an update on the CXL specifications with a focus on the recently released 3.1 specification.
Q1 Memory Fabric Forum: Advantages of Optical CXL for Disaggregated Compute ...Memory Fabric Forum
Ron Swartzentruber, Director of Engineering at Lightelligence, explains why optical connectivity is needed for CXL fabrics, and provides an overview of the Photowave line of port expander PCIe cards and active optical cables.
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)Memory Fabric Forum
- Memory intensive workloads are dominating computing and increasing memory capacity just with CPU-attached DRAM is getting expensive.
- CXL allows augmenting system memory footprint at lower cost by running over existing PCIe links to add memory outside of the CPU package.
- Intel Xeon roadmap fully supports CXL starting with 5th Gen Xeons, and Intel CPUs offer unique hardware-based tiering modes between native DRAM and CXL memory without depending on the operating system.
- CXL has full industry support as the standard for coherent input/output.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
2. What is Elastic Memory
• The MemVerge Elastic Memory Service provisions and
releases memory from a CXL memory pool on-demand to
the hosts
• Prevents a host from swapping or applications being
terminated by the Out-Of-Memory (OOM) Killer
• Solves the stranded memory problem
5. Elastic Memory using an XConn Fabric & 2 Hosts
CXL 2.0 Pool
CXL 1.1 Servers
CXL Pool Memory
[un]mapped to host
Historical
Memory Usage
DRAM & CXL Usag
Available Memory
Global Fabric
Dashboard View
7. Elastic Memory using an XConn Fabric & 2 Hosts
CXL Pool Memory
is
automatically
mapped to the
host
when local DRAM
is
exhausted
Memory
usage
increases
8. Join the CXL Early Access Program
https://memverge.com/cxl
10. Emulated CXL Made Easy
• Use emulated CXL devices in a QEMU Virtual Machine environment for
learning, development, and testing
• Container images are available for rapid deployment
• CXL Expansion
• CXL Shared Memory
• Configure the desired number of CXL devices per VM
• Run as many Virtual Machines as you need
• See the “CXL Flight Simulator” at https://memverge.com/cxl/ for more
information