Intel FPGA Product Catalog Devices: 10 Nm Device Portfolio Intel Agilex FPGA and Soc Overview
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Summit™ M5x Protocol Analyzer / Jammer for PCI Express® 5.0
Summit™ M5x Protocol Analyzer / Jammer for PCI Express® 5.0 The Summit M5x is Teledyne LeCroy’s highest performance PCI Express analyzer, Key Features offering both inline probing and direct tapping approaches to protocol capture - the best in overall diversity in probing methods. Find errors fast • One button error check Inline operation provides advanced features such as: real-time error injection (jammer) • Fast upload speed for PCI Express 4.0 specification; support for data rates of 2.5 GT/s, 5.0 GT/s, 8.0 • Large trace memory GT/s, and 16.0 GT/s; full data capture on bidirectional link widths of x1, x2, x4, x8 and • Powerful triggering/filtering x16 for up to 16 GT/s; and up to 128GB of trace memory. See and understand the traffic ® • Get useful information Direct tapping operation supports PCIe 5.0 protocol analysis with speeds up to • More choices of data views 32GT/s at up to x8 link widths. The Summit M5x is ideal for high-performance protocol • More ways to analyze data development of add-in boards, switches, servers and workstations, and for customers • Custom decoding and reports currently working on PCIe. Data capture Flexible Hardware Analyzer for CXL (Compute Express Link) Links. • 100% data capture at 32.0 GT/s The Summit M5x PCIe 5.0 Protocol Analyzer is a Support is provided for CXL.io, CXL.mem and high-end analyzer that offers important analysis CXL.cache with full decoding from the FLIT layer Deep memory buffer features for new application development. to the CXL Message layers. -
Nios II Custom Instruction User Guide
Nios II Custom Instruction User Guide Subscribe UG-20286 | 2020.04.27 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Nios II Custom Instruction Overview..............................................................................4 1.1. Custom Instruction Implementation......................................................................... 4 1.1.1. Custom Instruction Hardware Implementation............................................... 5 1.1.2. Custom Instruction Software Implementation................................................ 6 2. Custom Instruction Hardware Interface......................................................................... 7 2.1. Custom Instruction Types....................................................................................... 7 2.1.1. Combinational Custom Instructions.............................................................. 8 2.1.2. Multicycle Custom Instructions...................................................................10 2.1.3. Extended Custom Instructions................................................................... 11 2.1.4. Internal Register File Custom Instructions................................................... 13 2.1.5. External Interface Custom Instructions....................................................... 15 3. Custom Instruction Software Interface.........................................................................16 3.1. Custom Instruction Software Examples................................................................... 16 -
Intel Quartus Prime Pro Edition User Guide: Programmer Send Feedback
Intel® Quartus® Prime Pro Edition User Guide Programmer Updated for Intel® Quartus® Prime Design Suite: 21.2 Subscribe UG-20134 | 2021.07.21 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Intel® Quartus® Prime Programmer User Guide..............................................................4 1.1. Generating Primary Device Programming Files........................................................... 5 1.2. Generating Secondary Programming Files................................................................. 6 1.2.1. Generating Secondary Programming Files (Programming File Generator)........... 7 1.2.2. Generating Secondary Programming Files (Convert Programming File Dialog Box)............................................................................................. 11 1.3. Enabling Bitstream Security for Intel Stratix 10 Devices............................................ 18 1.3.1. Enabling Bitstream Authentication (Programming File Generator)................... 19 1.3.2. Specifying Additional Physical Security Settings (Programming File Generator).............................................................................................. 21 1.3.3. Enabling Bitstream Encryption (Programming File Generator).........................22 1.4. Enabling Bitstream Encryption or Compression for Intel Arria 10 and Intel Cyclone 10 GX Devices.................................................................................................. 23 1.5. Generating Programming Files for Partial Reconfiguration......................................... -
Introduction to Intel® FPGA IP Cores
Introduction to Intel® FPGA IP Cores Updated for Intel® Quartus® Prime Design Suite: 20.3 Subscribe UG-01056 | 2020.11.09 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Introduction to Intel® FPGA IP Cores..............................................................................3 1.1. IP Catalog and Parameter Editor.............................................................................. 4 1.1.1. The Parameter Editor................................................................................. 5 1.2. Installing and Licensing Intel FPGA IP Cores.............................................................. 5 1.2.1. Intel FPGA IP Evaluation Mode.....................................................................6 1.2.2. Checking the IP License Status.................................................................... 8 1.2.3. Intel FPGA IP Versioning............................................................................. 9 1.2.4. Adding IP to IP Catalog...............................................................................9 1.3. Best Practices for Intel FPGA IP..............................................................................10 1.4. IP General Settings.............................................................................................. 11 1.5. Generating IP Cores (Intel Quartus Prime Pro Edition)...............................................12 1.5.1. IP Core Generation Output (Intel Quartus Prime Pro Edition)..........................13 1.5.2. Scripting IP Core Generation.................................................................... -
SC20를 통해 본 HPC 기술 동향 HPC Technology Through SC20
Electronics and Telecommunications Trends SC20를 통해 본 HPC 기술 동향 HPC Technology Through SC20 어익수 (I.S. Eo, [email protected]) 슈퍼컴퓨팅기술연구센터 책임연구원 모희숙 (H.S. Mo, [email protected]) 슈퍼컴퓨팅기술연구센터 책임연구원 박유미 (Y.M. Park, [email protected]) 슈퍼컴퓨팅기술연구센터 책임연구원/센터장 한우종 (W.J. Han, [email protected]) 인공지능연구소 책임연구원/연구위원 ABSTRACT High-performance computing (HPC) is the underpinning for many of today’s most exciting new research areas, to name a few, from big science to new ways of fighting the disease, to artificial intelligence (AI), to big data analytics, to quantum computing. This report captures the summary of a 9-day program of presentations, keynotes, and workshops at the SC20 conference, one of the most prominent events on sharing ideas and results in HPC technology R&D. Because of the exceptional situation caused by COVID-19, the conference was held entirely online from 11/9 to 11/19 2020, and interestingly caught more attention on using HPC to make a breakthrough in the area of vaccine and cure for COVID-19. The program brought together 103 papers from 21 countries, along with 163 presentations in 24 workshop sessions. The event has covered several key areas in HPC technology, including new memory hierarchy and interconnects for different accelerators, evaluation of parallel programming models, as well as simulation and modeling in traditional science applications. Notably, there was increasing interest in AI and Big Data analytics as well. With this summary of the recent HPC trend readers may find useful information to guide the R&D directions for challenging new technologies and applications in the area of HPC. -
Designware IP for Cloud Computing Socs
DesignWare IP for Cloud Computing SoCs Overview Hyperscale cloud data centers continue to evolve due to tremendous Internet traffic growth from online collaboration, smartphones and other IoT devices, video streaming, augmented and virtual reality (AR/VR) applications, and connected AI devices. This is driving the need for new architectures for compute, storage, and networking such as AI accelerators, Software Defined Networks (SDNs), communications network processors, and solid state drives (SSDs) to improve cloud data center efficiency and performance. Re-architecting the cloud data center for these latest applications is driving the next generation of semiconductor SoCs to support new high-speed protocols to optimize data processing, networking, and storage in the cloud. Designers building system-on-chips (SoCs) for cloud and high performance computing (HPC) applications need a combination of high-performance and low-latency IP solutions to help deliver total system throughput. Synopsys provides a comprehensive portfolio of high-quality, silicon-proven IP that enables designers to develop SoCs for high-end cloud computing, including AI accelerators, edge computing, visual computing, compute/application servers, networking, and storage applications. Synopsys’ DesignWare® Foundation IP, Interface IP, Security IP, and Processor IP are optimized for high performance, low latency, and low power, while supporting advanced process technologies from 16-nm to 5-nm FinFET and future process nodes. High-Performance Computing Today’s high-performance computing (HPC) solutions provide detailed insights into the world around us and improve our quality of life. HPC solutions deliver the data processing power for massive workloads required for genome sequencing, weather modeling, video rendering, engineering modeling and simulation, medical research, big data analytics, and many other applications. -
Intel® Arria® 10 Device Overview
Intel® Arria® 10 Device Overview Subscribe A10-OVERVIEW | 2020.10.20 Send Feedback Latest document on the web: PDF | HTML Contents Contents Intel® Arria® 10 Device Overview....................................................................................... 3 Key Advantages of Intel Arria 10 Devices........................................................................ 4 Summary of Intel Arria 10 Features................................................................................4 Intel Arria 10 Device Variants and Packages.....................................................................7 Intel Arria 10 GX.................................................................................................7 Intel Arria 10 GT............................................................................................... 11 Intel Arria 10 SX............................................................................................... 14 I/O Vertical Migration for Intel Arria 10 Devices.............................................................. 17 Adaptive Logic Module................................................................................................ 17 Variable-Precision DSP Block........................................................................................18 Embedded Memory Blocks........................................................................................... 20 Types of Embedded Memory............................................................................... 21 Embedded Memory Capacity in -
TAKING OCP to the NEXT LEVEL – WORKLOAD OPTIMIZATION Krishna Paul Principal Engineer Data Center Group
TAKING OCP TO THE NEXT LEVEL – WORKLOAD OPTIMIZATION Krishna Paul Principal Engineer Data Center Group Consume. Collaborate. Collaborate. Contribute. Contribute. OPEN COMPUTE HISTORY OF COMMITMENT AND LEADERSHIP 2011 +25 +80 Founding Contributions and Products Board Member Enablements with Partners of OCP Consume. Collaborate. Collaborate. Contribute. Contribute. GETTING TO $10B IN OCP DEPLOYMENT Workload Open Management Integrated Optimized Solutions Consume. Collaborate. Collaborate. Contribute. Contribute. NEW OCP COMPUTE PLATFORMS THIS YEAR Mount Olympus Next Gen Platform Cooper Lake Processor Platforms for Cascade Lake Processor 2S 4S (2x 2S) 8S (4x 2S) Consume. Collaborate. Collaborate. Contribute. Contribute. *Other names and brands may be claimed as property of others. INTEL® HIGH-DENSITY, CLOUD-OPTIMIZED PLATFORM Cloud-Optimized Platform 2U 450mm x 780mm 4S Intel® Xeon® Scalable processors 48 DDR4 memory slots, SATA/SAS/NVMe 2.5” SSD drive bays Available in second half 2019 *Other names and brands may be claimed as property of others. Consume. Collaborate. Collaborate. Contribute. Contribute. OCP CARDS SUPPORT NEW AI ACCELERATORS INTEL® NERVANA™ NEURAL NETWORK PROCESSOR (NNP) FOR TRAINING: FOR INFERENCE: Nervana™ Dedicated deep learning training acceleration Dedicated deep learning inference acceleration Optimized memory and interconnects 10nm Intel® process node In production in 2019 In production in 2019 Intel is a proud partner of the community Consume. Collaborate. Collaborate. Contribute. Contribute. *Other names and brands may be claimed as property of others. ANNOUNCING A NEW CPU-TO-DEVICE INTERCONNECT STANDARD COMPUTE EXPRESS LINK (CXL) ▪ New CXL specification and consortium ▪ Memory coherent, high-speed interconnect ▪ Initial spec donated by Intel ▪ Intel® believes there is an opportunity for an OCP working group to define new form factors for CXL ▪ Optimized stack with x16 PCI Express Gen 5 physical and electrical connection (32 GT/s) ▪ Use cases include AI, networking, media, graphics and more ▪ Availability expected 2021 Consume. -
Intel FPGA SDK for Opencl Pro Edition: Programming Guide Send Feedback
Intel® FPGA SDK for OpenCL™ Pro Edition Programming Guide Updated for Intel® Quartus® Prime Design Suite: 21.2 Subscribe UG-OCL002 | 2021.06.23 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Intel® FPGA SDK for OpenCL™ Overview......................................................................... 7 1.1. Intel FPGA SDK for OpenCL Pro Edition Programming Guide Prerequisites......................7 1.2. Intel FPGA SDK for OpenCL FPGA Programming Flow..................................................8 2. Intel FPGA SDK for OpenCL Offline Compiler Kernel Compilation Flows........................ 10 2.1. One-Step Compilation for Simple Kernels................................................................ 11 2.2. Multistep Intel FPGA SDK for OpenCL Pro Edition Design Flow.................................... 12 3. Obtaining General Information on Software, Compiler, and Custom Platform...............16 3.1. Displaying the Software Version (version)............................................................... 16 3.2. Displaying the Compiler Version (-version).............................................................. 16 3.3. Listing the Intel FPGA SDK for OpenCL Utility Command Options (help).......................17 3.3.1. Displaying Information on an Intel FPGA SDK for OpenCL Utility Command Option (help <command_option>)............................................................. 17 3.4. Listing the Intel FPGA SDK for OpenCL Offline Compiler Command Options (no argument, -help, or -h)......................................................................................17 -
Intel® Arria® 10 FPGA Performance Benchmarking Methodology and Results
WHITE PAPER FPGA Intel® Arria® 10 FPGA Performance Benchmarking Methodology and Results Intel Arria 10 FPGAs deliver more than a speed grade faster core performance † and up to a 20% fMAX advantage for publicly available OpenCore designs. Authors Introduction Martin S. Won This paper presents a rigorous methodology for evaluating and benchmarking the Senior Member of Technical Staff core performance of the Intel® Arria® 10 FPGA programmable logic product family, Intel Programmable Solutions Group with the goal of transparently presenting the methods and data such that any interested party can reproduce and analyze the results.† To this end, ten publicly- Madhu Monga available designs from OpenCores representing a variety of functions were Applications Engineer implemented in a device from the Intel Arria 10 FPGA family and a device from the Intel Programmable Solutions Group closest competitor: the Xilinx* UltraScale* family. The benchmark results show that Intel Arria 10 FPGAs deliver up to 20% higher performance than Xilinx UltraScale devices, as measured by the maximum clock frequencies achieved in the example designs across a range of device utilization.† Background: evaluating the performance of Intel FPGA and Table of Contents SoC products Introduction ....................1 The programmable logic industry does not have a standard benchmarking Background: evaluating the methodology. Therefore, Intel employs rigorous internal analysis using a broad performance of Intel FPGA and combination of customer and internally-generated designs to understand and SoC products .................1 quantify the performance of its programmable logic products relative to prior- generation Intel products and competing products. The designs are collected from Increasing transparency via a variety of market segments, such as high-performance computing, image and OpenCore-based performance video processing, wired and wireless communications, and consumer products. -
Exploiting Cache Side Channels on CPU-FPGA Cloud Platforms
Exploiting Cache Side-Channels on CPU-FPGA Cloud Platforms Cache-basierte Seitenkanalangriffe auf CPU-FPGA Cloud Plattformen Masterarbeit im Rahmen des Studiengangs Informatik der Universität zu Lübeck vorgelegt von Thore Tiemann ausgegeben und betreut von Prof. Dr. Thomas Eisenbarth Lübeck, den 09. Januar 2020 Abstract Cloud service providers invest more and more in FPGA infrastructure to offer it to their customers (IaaS). FPGA use cases include the acceleration of artificial intelligence applica- tions. While physical attacks on FPGAs got a lot of attention by researchers just recently, nobody focused on micro-architectural attacks in the context of FPGA yet. We take the first step into this direction and investigate the timing behavior of memory reads on two Intel FPGA platforms that were designed to be used in a cloud environment: a Programmable Acceleration Card (PAC) and a Xeon CPU with an integrated FPGA that has an additional coherent local cache. By using the Open Programmable Acceleration Engine (OPAE) and the Core Cache Interface (CCI-P), our setup represents a realistic cloud scenario. We show that an Acceleration Functional Unit (AFU) on either platform can, with the help of a self-designed hardware timer, distinguish which of the different parts of the memory hierarchy serves the response for memory reads. On the integrated platform, the same is true for the CPU, as it can differentiate between answers from the FPGA cache, the CPU cache, and the main memory. Next, we analyze the effect of the caching hints offered by the CCI-P on the location of written cache lines in the memory hierarchy and show that most cache lines get cached in the LLC of the CPU. -
Embedded Design Handbook
Embedded Design Handbook Subscribe EDH | 2020.07.22 Send Feedback Latest document on the web: PDF | HTML Contents Contents 1. Introduction................................................................................................................... 6 1.1. Document Revision History for Embedded Design Handbook........................................ 6 2. First Time Designer's Guide............................................................................................ 8 2.1. FPGAs and Soft-Core Processors.............................................................................. 8 2.2. Embedded System Design...................................................................................... 9 2.3. Embedded Design Resources................................................................................. 11 2.3.1. Intel Embedded Support........................................................................... 11 2.3.2. Intel Embedded Training........................................................................... 11 2.3.3. Intel Embedded Documentation................................................................. 12 2.3.4. Third Party Intellectual Property.................................................................12 2.4. Intel Embedded Glossary...................................................................................... 13 2.5. First Time Designer's Guide Revision History............................................................14 3. Hardware System Design with Intel Quartus Prime and Platform Designer.................