The document provides an overview of vector technology and the RISC-V Vector extension. It discusses SIMD and vector processor concepts, the evolution of vector instruction sets from Intel MMX/SSE/AVX to the RISC-V Vector specification. It also covers vector register file organization, instruction chaining, applications of vector processing, and challenges in implementing vector architectures. Andes Technology is introducing the AndesCoreTM NX27V processor core which implements the RISC-V Vector extension.
Designing RISC-V-based Accelerators for next generation Computers (DRAC) is a 3-year project (2019-2022) funded by the ERDF Operational Program of Catalonia 2014-2020. DRAC will design, verify, implement and fabricate a high performance general purpose processor that will incorporate different accelerators based on the RISC-V technology, with specific applications in the field of post-quantum security, genomics and autonomous navigation. In this talk, we will provide an overview of the main achievements in the DRAC project, including the fabrication of Lagarto, the first RISC-V processor developed in Spain.
Designing RISC-V-based Accelerators for next generation Computers (DRAC) is a 3-year project (2019-2022) funded by the ERDF Operational Program of Catalonia 2014-2020. DRAC will design, verify, implement and fabricate a high performance general purpose processor that will incorporate different accelerators based on the RISC-V technology, with specific applications in the field of post-quantum security, genomics and autonomous navigation. In this talk, we will provide an overview of the main achievements in the DRAC project, including the fabrication of Lagarto, the first RISC-V processor developed in Spain.
In this deck from the 2016 Stanford HPC Conference, Kurt Keville from R&D Labs at MIT presents: Introduction to RISC-V.
"Today’s server systems provide many knobs which influence energy efficiency and performance. Some of these knobs control the behavior of the operating systems, whereas others control the behavior of the hardware itself. Choosing the optimal configuration of the knobs is critical for energy efficiency. In this talk recent research results will be presented, including examples of big data applications that consume less energy when dynamic tuning is employed."
Kurt works on optimizing HPC codes for educational and institutional (R&D labs) purposes at MIT. He assesses new supercomputing hardware as part of his responsibilities. He has published in IEEE conferences and journals and he teaches embedded programming once a year. Kurt has a BS from West Point and an MS from MIT.
Learn more: http://soc.mit.edu
Sign up for our insideHPC Newsletter: http://insideHPC.com/newsletter
Mixed-critical adaptive AUTOSAR stack based on VxWorks, Linux, and virtualiza...Andrei Kholodnyi
Since the first release of its standard in 2003, AUTOSAR has established itself as one of the primary software development standards for the global automotive industry. As the automotive industry is a now undergoing one of the significant changes in its history toward autonomous driving, connectivity and electrification new standards are needed to handle the complexity regarding software architecture for controlling the high-end processors, Ethernet communication, and over-the-air updates in the cloud-connected automobiles. The recent advent of the Adaptive AUTOSAR standard can help accommodate the extensive and complex requirements of autonomous driving by enabling a flexible, dynamic, and service based platform while still maintaining the integrity of high degree of functional safety standards and also properly engaging with established platforms. The standard itself replies on some technologies which are already established in the industry such as virtualization, POSIX PSE51, C++11/14 for application development, ISO26262/ASIL compliance, etc.
This presentation provides example of an implementation of mixed critical Adaptive AUTOSAR stack based on VxWorks RTOS, embedded Linux, and virtualization profile from Wind River. As one of the very few solutions available on the market which is already fulfilling the requirements described above, VxWorks is a strong example of a foundational software platform for Adaptive AUTOSAR-based autonomous driving development. We will also explain what challenges we have encounter with during this process and make some suggestions to the AUTOSAR consortium of how to overcome them in the future.
Compare Performance-power of Arm Cortex vs RISC-V for AI applications_oct_2021Deepak Shankar
Abstract: In the Webinar, we will show you how to construct, simulate, analyze, validate, optimize an architecture model using pre-built components. We will compare micro and application benchmarks on system SoC models containing clusters of ARM Cortex A53, SiFive u74, ARM Cortex A77, and other vendor cores. The system will be built around custom switches, Ingress/Egress buffers, credit flow control, AI accelerators, NoC and AMBA AXI buses with multi-level caches, DDR4 DRAM and DMA. The evaluation and optimization criteria will be task latency, dCache hit-ratio, power consumed/task and memory bandwidth. The parameters to be modified are bus topology, cache size, processor clock speed, custom arbiters, task thread allocation and changing the processor pipeline.
Selection of cores is a combination of financial and technical bias. Technical comparison of processor cores requires the understanding of the workload, task partitioning and cache-memory structure. A core must be evaluated in the context of the target application. To evaluate these selections, architecture simulation software must be fortified with a library of Intellectual property for power and timing accurate processor cores, simulator at 100 million events per second, peripherals, and all possible traffic distributions
Key Takeaways:
1. Validating architecture models using mathematical calculus and hardware traces
2. Construct custom policies, arbitrations and configure processor cores
3. Select the right combination of statistics to detect bottlenecks and optimize the architecture
4. Identify the right use of stochastic, transaction, cycle-accurate and traces to construct the model
Speaker Bio:
Alex Su is a FPGA solution architect at E-Elements Technology, Hsinchu, Taiwan. He has been an FPGA Solution Architect and Xilinx FPGA Trainer for a number of years, supporting companies, research centers and universities in China and Taiwan. Prior to that, Mr Su has worked at ARM Ltd for 5 years in technical support of Arm CPU and System IP. Alex has also been engaged with a variety of FPGA-based Hardware Emulation System and over ten years in ASIC/SoC design and verification engineer.
Deepak Shankar is the Founder of Mirabilis Design and has been involved in the architecture exploration of over 250 SoC and processors. Mr. Shankar started Mirabilis Design because of a vacuum in the systems engineering and modeling space with the focus shifting to network design and early software development. Deepak has published over 50 articles and presented at over 30 conferences in EDA, semiconductors and embedded computing. Mr. Shankar has an MBA from UC Berkeley, MS in from Clemson University and BS from Coimbatore Institute of Technology, both in Electronics and Communication.
eMMC 5.0 is the latest generation of embedded NAND Flash IP. Arasan provides a complete solution including digital controllers for host and device, the mixed PHY I/O and pads, software drivers, hardware validation and support.
Moving to PCI Express based SSD with NVM ExpressOdinot Stanislas
Une très bonne présentation qui introduit la technologie NVM Express qui sera à coup sure l'interface du futur (proche) des "disques" SSD. Adieu SAS et SATA, bienvenu au PCI Express dans les serveurs (et postes clients)
The most important interface in a computer system is the instruction set architecture (ISA) as it connects software to hardware. So, given the prevalence of open standards for almost all other important interfaces, why is the ISA still proprietary? We argue that a free ISA is a necessary precursor to future hardware innovation, and there's no good technical reason not to have free, open ISAs just as we have free, open networking standards and free, open operating systems.
6 months/weeks training in Vlsi,jalandhardeepikakaler1
E2marix is leading Training & Certification Company offering Corporate Training Programs, IT Education Courses in diversified areas.Since its inception, E2matrix educational Services have trained and certified many students and professionals.
TECHNOLOGIES PROVIDED -
MATLAB
NS2
IMAGE PROCESSING
.NET
SOFTWARE TESTING
DATA MINING
NEURAL networks
HFSS
WEKA
ANDROID
CLOUD computing
COMPUTER NETWORKS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE
LABVIEW
EMBEDDED
VLSI
Address
Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara
email-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
Web site-www.e2matrix.com
CONTACT NUMBER --
07508509730
09041262727
7508509709
6 weeks/months summer training in vlsi,ludhianadeepikakaler1
E2matrix offer our assistance, writing and consulting services with your research assignments particularly in the areas of thesis, dissertations, journals, online forum discussions, FYP, and so on.
We also provide training for the different technologies and are involved in a wide diversity of subject areas ranging from management,engineering up to programming and designs; and our team of research experts and professional consultants are readily available to help you towards your successful completion of your assignments.
Engage us today at our e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
and can visit our web site-www.e2matrix.com
contact us-7508509709
07508509730
In this deck from the 2016 Stanford HPC Conference, Kurt Keville from R&D Labs at MIT presents: Introduction to RISC-V.
"Today’s server systems provide many knobs which influence energy efficiency and performance. Some of these knobs control the behavior of the operating systems, whereas others control the behavior of the hardware itself. Choosing the optimal configuration of the knobs is critical for energy efficiency. In this talk recent research results will be presented, including examples of big data applications that consume less energy when dynamic tuning is employed."
Kurt works on optimizing HPC codes for educational and institutional (R&D labs) purposes at MIT. He assesses new supercomputing hardware as part of his responsibilities. He has published in IEEE conferences and journals and he teaches embedded programming once a year. Kurt has a BS from West Point and an MS from MIT.
Learn more: http://soc.mit.edu
Sign up for our insideHPC Newsletter: http://insideHPC.com/newsletter
Mixed-critical adaptive AUTOSAR stack based on VxWorks, Linux, and virtualiza...Andrei Kholodnyi
Since the first release of its standard in 2003, AUTOSAR has established itself as one of the primary software development standards for the global automotive industry. As the automotive industry is a now undergoing one of the significant changes in its history toward autonomous driving, connectivity and electrification new standards are needed to handle the complexity regarding software architecture for controlling the high-end processors, Ethernet communication, and over-the-air updates in the cloud-connected automobiles. The recent advent of the Adaptive AUTOSAR standard can help accommodate the extensive and complex requirements of autonomous driving by enabling a flexible, dynamic, and service based platform while still maintaining the integrity of high degree of functional safety standards and also properly engaging with established platforms. The standard itself replies on some technologies which are already established in the industry such as virtualization, POSIX PSE51, C++11/14 for application development, ISO26262/ASIL compliance, etc.
This presentation provides example of an implementation of mixed critical Adaptive AUTOSAR stack based on VxWorks RTOS, embedded Linux, and virtualization profile from Wind River. As one of the very few solutions available on the market which is already fulfilling the requirements described above, VxWorks is a strong example of a foundational software platform for Adaptive AUTOSAR-based autonomous driving development. We will also explain what challenges we have encounter with during this process and make some suggestions to the AUTOSAR consortium of how to overcome them in the future.
Compare Performance-power of Arm Cortex vs RISC-V for AI applications_oct_2021Deepak Shankar
Abstract: In the Webinar, we will show you how to construct, simulate, analyze, validate, optimize an architecture model using pre-built components. We will compare micro and application benchmarks on system SoC models containing clusters of ARM Cortex A53, SiFive u74, ARM Cortex A77, and other vendor cores. The system will be built around custom switches, Ingress/Egress buffers, credit flow control, AI accelerators, NoC and AMBA AXI buses with multi-level caches, DDR4 DRAM and DMA. The evaluation and optimization criteria will be task latency, dCache hit-ratio, power consumed/task and memory bandwidth. The parameters to be modified are bus topology, cache size, processor clock speed, custom arbiters, task thread allocation and changing the processor pipeline.
Selection of cores is a combination of financial and technical bias. Technical comparison of processor cores requires the understanding of the workload, task partitioning and cache-memory structure. A core must be evaluated in the context of the target application. To evaluate these selections, architecture simulation software must be fortified with a library of Intellectual property for power and timing accurate processor cores, simulator at 100 million events per second, peripherals, and all possible traffic distributions
Key Takeaways:
1. Validating architecture models using mathematical calculus and hardware traces
2. Construct custom policies, arbitrations and configure processor cores
3. Select the right combination of statistics to detect bottlenecks and optimize the architecture
4. Identify the right use of stochastic, transaction, cycle-accurate and traces to construct the model
Speaker Bio:
Alex Su is a FPGA solution architect at E-Elements Technology, Hsinchu, Taiwan. He has been an FPGA Solution Architect and Xilinx FPGA Trainer for a number of years, supporting companies, research centers and universities in China and Taiwan. Prior to that, Mr Su has worked at ARM Ltd for 5 years in technical support of Arm CPU and System IP. Alex has also been engaged with a variety of FPGA-based Hardware Emulation System and over ten years in ASIC/SoC design and verification engineer.
Deepak Shankar is the Founder of Mirabilis Design and has been involved in the architecture exploration of over 250 SoC and processors. Mr. Shankar started Mirabilis Design because of a vacuum in the systems engineering and modeling space with the focus shifting to network design and early software development. Deepak has published over 50 articles and presented at over 30 conferences in EDA, semiconductors and embedded computing. Mr. Shankar has an MBA from UC Berkeley, MS in from Clemson University and BS from Coimbatore Institute of Technology, both in Electronics and Communication.
eMMC 5.0 is the latest generation of embedded NAND Flash IP. Arasan provides a complete solution including digital controllers for host and device, the mixed PHY I/O and pads, software drivers, hardware validation and support.
Moving to PCI Express based SSD with NVM ExpressOdinot Stanislas
Une très bonne présentation qui introduit la technologie NVM Express qui sera à coup sure l'interface du futur (proche) des "disques" SSD. Adieu SAS et SATA, bienvenu au PCI Express dans les serveurs (et postes clients)
The most important interface in a computer system is the instruction set architecture (ISA) as it connects software to hardware. So, given the prevalence of open standards for almost all other important interfaces, why is the ISA still proprietary? We argue that a free ISA is a necessary precursor to future hardware innovation, and there's no good technical reason not to have free, open ISAs just as we have free, open networking standards and free, open operating systems.
6 months/weeks training in Vlsi,jalandhardeepikakaler1
E2marix is leading Training & Certification Company offering Corporate Training Programs, IT Education Courses in diversified areas.Since its inception, E2matrix educational Services have trained and certified many students and professionals.
TECHNOLOGIES PROVIDED -
MATLAB
NS2
IMAGE PROCESSING
.NET
SOFTWARE TESTING
DATA MINING
NEURAL networks
HFSS
WEKA
ANDROID
CLOUD computing
COMPUTER NETWORKS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE
LABVIEW
EMBEDDED
VLSI
Address
Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara
email-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
Web site-www.e2matrix.com
CONTACT NUMBER --
07508509730
09041262727
7508509709
6 weeks/months summer training in vlsi,ludhianadeepikakaler1
E2matrix offer our assistance, writing and consulting services with your research assignments particularly in the areas of thesis, dissertations, journals, online forum discussions, FYP, and so on.
We also provide training for the different technologies and are involved in a wide diversity of subject areas ranging from management,engineering up to programming and designs; and our team of research experts and professional consultants are readily available to help you towards your successful completion of your assignments.
Engage us today at our e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
and can visit our web site-www.e2matrix.com
contact us-7508509709
07508509730
The fourth webinar in the series – From concept to consumer – make your IoT idea a commercial reality – looked into the challenges around power management for IoT devices.
As the desire for IoT solutions broadens to include features such as continual sensor readings, real-time data management, and on-board processing, the need to select the right hardware becomes ever more important. In addition is the requirement for effective power management.
The webinar looked at the challenges of power management including:
•Strategies to increase your battery performance
•Alternative techniques to deliver performance without compromising your output
•Identifying the trade-offs between use-cases and performance
Introduction to the new MediaTek LinkIt™ Development Platform for RTOSMediaTek Labs
The new MediaTek LinkIt™ Development Platform for RTOS is based on ARM Cortex-M4 MCU architecture and provides leading features for the creation of connected appliances, home and office automation devices, smart gadgets, and IoT bridges. Supporting a range of chipsets (initially the MediaTek MT7687F), LinkIt for RTOS offers the convenience of a single toolset and common API implemented over a popular RTOS. With this you can achieve economies across a full range of consumer and business IoT devices. The platform consists of a Software Development Kit (SDK), Hardware Development Kits (HDKs), including modules from supply chain partners, and related technical documentation. The first release of the platform supports the MediaTek MT7687F Wi-Fi SOC which has a 192 MHz MCU, 1×1 802.11b/g/n Wi-Fi subsystem, integrated security engine (AES and 3DES/SHA), embedded SRAM/ROM and 2MB flash. The new platform uses FreeRTOS with open-source modules for TCP/IP, SSL/TLS, HTTP (client and server), SNTP, DHCP daemon, MQTT, XML and JSON. Development and debugging is supported by free command line tools, plus a KEIL plug-in.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/high-efficiency-edge-vision-processing-based-on-dynamically-reconfigurable-tpu-technology-a-presentation-from-flex-logix/
Cheng Wang, Senior Vice President and Co-founder of Flex Logix, presents the “High-Efficiency Edge Vision Processing Based on Dynamically Reconfigurable TPU Technology” tutorial at the May 2022 Embedded Vision Summit.
To achieve high accuracy, edge computer vision requires teraops of processing to be executed in fractions of a second. Additionally, edge systems are constrained in terms of power and cost. This talk presents and demonstrates the novel dynamic TPU array architecture of Flex Logix’s InferX X1 accelerators and contrasts it to current GPU, TPU and other approaches to delivering the teraops computing required by edge vision inferencing.
Wang compares latency, throughput, memory utilization, power dissipation and overall solution cost. He also shows how existing trained models can be easily ported to run on the InferX X1 accelerator.
Single instruction, multiple data (SIMD), is a class of parallel computers in Flynn's taxonomy. It describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.
DesignCon 2019 112-Gbps Electrical Interfaces: An OIF Update on CEI-112GLeah Wilkinson
DesignCon 2019
112-Gbps Electrical Interfaces: An OIF Update on CEI-112G
Brian Holden, Kandou Bus
Cathy Liu, Broadcom
Steve Sekel, Keysight
Nathan Tracy, TE Connectivity
This is the presentation I use as a support for a nine-hour talk to future IoT project leaders. Several dimensions are addressed: functionalities, technologies (devices, embedded software, positioning, communications, etc.), project management, ecosystem structure, etc.
E2MATRIX PROVIDE EXPERT GUIDANCE FOR THESIS & PROJECT FOR M.TECH. / PHD / B.TECH. STUDENTS. MTECH THESIS/ IEEE PROJECT GUIDANCE / PHD THESIS. GENUINE THESIS / PROJECT WORK BY THE EXPERT FACULTY/ DEVELOPERS. DOMAINS / TECHNOLOGIES - MATLAB NS2 IMAGE PROCESSING .NET WIRELESS COMMUNICATION DATA MINING NEURAL NETWORKS HFSS / IE3D ANTENNA WEKA ANDROID CLOUD COMPUTING FUZZY LOGIC ARTIFICIAL INTELLIGENCE LABVIEW EMBEDDED VLSI AND MANY MORE. WE PROVIDE- RESEARCH PAPERS OBJECTIVES SYNOPSIS IMPLEMENTATION DOCUMENTATION REPORT WRITING PAPER PUBLICATION FOR MORE INFORMATION
contact us -
Address-Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara,punjab
email addres-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
WEBSITE-www.e2matrix.com
CONTACT NUMBER --
09041262727
07508509730
7508509709
E2MATRIX PROVIDE EXPERT GUIDANCE FOR THESIS & PROJECT FOR M.TECH. / PHD / B.TECH. STUDENTS. MTECH THESIS/ IEEE PROJECT GUIDANCE / PHD THESIS. GENUINE THESIS / PROJECT WORK BY THE EXPERT FACULTY/ DEVELOPERS. DOMAINS / TECHNOLOGIES - MATLAB NS2 IMAGE PROCESSING .NET WIRELESS COMMUNICATION DATA MINING NEURAL NETWORKS HFSS / IE3D ANTENNA WEKA ANDROID CLOUD COMPUTING FUZZY LOGIC ARTIFICIAL INTELLIGENCE LABVIEW EMBEDDED VLSI AND MANY MORE. WE PROVIDE- RESEARCH PAPERS OBJECTIVES SYNOPSIS IMPLEMENTATION DOCUMENTATION REPORT WRITING PAPER PUBLICATION FOR MORE INFORMATION
contact us -
Address-Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara,punjab
email addres-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
WEBSITE-www.e2matrix.com
CONTACT NUMBER --
09041262727
07508509730
7508509709
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.