DSP Benchmark Results of the GR740 Rad-Hard Quad-Core LEON4FT
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EEMBC and the Purposes of Embedded Processor Benchmarking Markus Levy, President
EEMBC and the Purposes of Embedded Processor Benchmarking Markus Levy, President ISPASS 2005 Certified Performance Analysis for Embedded Systems Designers EEMBC: A Historical Perspective • Began as an EDN Magazine project in April 1997 • Replace Dhrystone • Have meaningful measure for explaining processor behavior • Developed business model • Invited worldwide processor vendors • A consortium was born 1 EEMBC Membership • Board Member • Membership Dues: $30,000 (1st year); $16,000 (subsequent years) • Access and Participation on ALL Subcommittees • Full Voting Rights • Subcommittee Member • Membership Dues Are Subcommittee Specific • Access to Specific Benchmarks • Technical Involvement Within Subcommittee • Help Determine Next Generation Benchmarks • Special Academic Membership EEMBC Philosophy: Standardized Benchmarks and Certified Scores • Member derived benchmarks • Determine the standard, the process, and the benchmarks • Open to industry feedback • Ensures all processor/compiler vendors are running the same tests • Certification process ensures credibility • All benchmark scores officially validated before publication • The entire benchmark environment must be disclosed 2 Embedded Industry: Represented by Very Diverse Applications • Networking • Storage, low- and high-end routers, switches • Consumer • Games, set top boxes, car navigation, smartcards • Wireless • Cellular, routers • Office Automation • Printers, copiers, imaging • Automotive • Engine control, Telematics Traditional Division of Embedded Applications Low High Power -
Cloud Workbench a Web-Based Framework for Benchmarking Cloud Services
Bachelor August 12, 2014 Cloud WorkBench A Web-Based Framework for Benchmarking Cloud Services Joel Scheuner of Muensterlingen, Switzerland (10-741-494) supervised by Prof. Dr. Harald C. Gall Philipp Leitner, Jürgen Cito software evolution & architecture lab Bachelor Cloud WorkBench A Web-Based Framework for Benchmarking Cloud Services Joel Scheuner software evolution & architecture lab Bachelor Author: Joel Scheuner, [email protected] Project period: 04.03.2014 - 14.08.2014 Software Evolution & Architecture Lab Department of Informatics, University of Zurich Acknowledgements This bachelor thesis constitutes the last milestone on the way to my first academic graduation. I would like to thank all the people who accompanied and supported me in the last four years of study and work in industry paving the way to this thesis. My personal thanks go to my parents supporting me in many ways. The decision to choose a complex topic in an area where I had no personal experience in advance, neither theoretically nor technologically, made the past four and a half months challenging, demanding, work-intensive, but also very educational which is what remains in good memory afterwards. Regarding this thesis, I would like to offer special thanks to Philipp Leitner who assisted me during the whole process and gave valuable advices. Moreover, I want to thank Jürgen Cito for his mainly technologically-related recommendations, Rita Erne for her time spent with me on language review sessions, and Prof. Harald Gall for giving me the opportunity to write this thesis at the Software Evolution & Architecture Lab at the University of Zurich and providing fundings and infrastructure to realize this thesis. -
Automatic Benchmark Profiling Through Advanced Trace Analysis Alexis Martin, Vania Marangozova-Martin
Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin, Vania Marangozova-Martin To cite this version: Alexis Martin, Vania Marangozova-Martin. Automatic Benchmark Profiling through Advanced Trace Analysis. [Research Report] RR-8889, Inria - Research Centre Grenoble – Rhône-Alpes; Université Grenoble Alpes; CNRS. 2016. hal-01292618 HAL Id: hal-01292618 https://hal.inria.fr/hal-01292618 Submitted on 24 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin , Vania Marangozova-Martin RESEARCH REPORT N° 8889 March 23, 2016 Project-Team Polaris ISSN 0249-6399 ISRN INRIA/RR--8889--FR+ENG Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin ∗ † ‡, Vania Marangozova-Martin ∗ † ‡ Project-Team Polaris Research Report n° 8889 — March 23, 2016 — 15 pages Abstract: Benchmarking has proven to be crucial for the investigation of the behavior and performances of a system. However, the choice of relevant benchmarks still remains a challenge. To help the process of comparing and choosing among benchmarks, we propose a solution for automatic benchmark profiling. It computes unified benchmark profiles reflecting benchmarks’ duration, function repartition, stability, CPU efficiency, parallelization and memory usage. -
I.MX 8Quadxplus Power and Performance
NXP Semiconductors Document Number: AN12338 Application Note Rev. 4 , 04/2020 i.MX 8QuadXPlus Power and Performance 1. Introduction Contents This application note helps you to design power 1. Introduction ........................................................................ 1 management systems. It illustrates the current drain 2. Overview of i.MX 8QuadXPlus voltage supplies .............. 1 3. Power measurement of the i.MX 8QuadXPlus processor ... 2 measurements of the i.MX 8QuadXPlus Applications 3.1. VCC_SCU_1V8 power ........................................... 4 Processors taken on NXP Multisensory Evaluation Kit 3.2. VCC_DDRIO power ............................................... 4 (MEK) Platform through several use cases. 3.3. VCC_CPU/VCC_GPU/VCC_MAIN power ........... 5 3.4. Temperature measurements .................................... 5 This document provides details on the performance and 3.5. Hardware and software used ................................... 6 3.6. Measuring points on the MEK platform .................. 6 power consumption of the i.MX 8QuadXPlus 4. Use cases and measurement results .................................... 6 processors under a variety of low- and high-power 4.1. Low-power mode power consumption (Key States modes. or ‘KS’)…… ......................................................................... 7 4.2. Complex use case power consumption (Arm Core, The data presented in this application note is based on GPU active) ......................................................................... 11 5. SOC -
Part 1 of 4 : Introduction to RISC-V ISA
PULP PLATFORM Open Source Hardware, the way it should be! Working with RISC-V Part 1 of 4 : Introduction to RISC-V ISA Frank K. Gürkaynak <[email protected]> Luca Benini <[email protected]> http://pulp-platform.org @pulp_platform https://www.youtube.com/pulp_platform Working with RISC-V Summary ▪ Part 1 – Introduction to RISC-V ISA ▪ What is RISC-V about ▪ Description of ISA, and basic principles ▪ Simple 32b implementation (Ibex by LowRISC) ▪ How to extend the ISA (CV32E40P by OpenHW group) ▪ Part 2 – Advanced RISC-V Architectures ▪ Part 3 – PULP concepts ▪ Part 4 – PULP based chips | ACACES 2020 - July 2020 Working with RISC-V Few words about myself Frank K. Gürkaynak (just call me Frank) Senior scientist at ETH Zurich (means I am old) working with Luca Studied / Worked at Universities: in Turkey, United States and Switzerland (ETHZ and EPFL) Involved in Digital Design, Low Power Circuits, Open Source Hardware Part of PULP project from the beginning in 2013 | ACACES 2020 - July 2020 Working with RISC-V RISC-V Instruction Set Architecture ▪ Started by UC-Berkeley in 2010 SW ▪ Contract between SW and HW Applications ▪ Partitioned into user and privileged spec ▪ External Debug OS ▪ Standard governed by RISC-V foundation ▪ ETHZ is a founding member of the foundation ISA ▪ Necessary for the continuity User Privileged ▪ Defines 32, 64 and 128 bit ISA Debug ▪ No implementation, just the ISA ▪ Different implementations (both open and close source) HW ▪ At ETH Zurich we specialize in efficient implementations of RISC-V cores | ACACES 2020 - July 2020 Working with RISC-V RISC-V maintains basically a PDF document | ACACES 2020 - July 2020 Working with RISC-V ISA defines the instructions that processor uses C++ program translated to RISC-V instructions defined by ISA. -
Automatic Benchmark Profiling Through Advanced Trace Analysis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Hal - Université Grenoble Alpes Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin, Vania Marangozova-Martin To cite this version: Alexis Martin, Vania Marangozova-Martin. Automatic Benchmark Profiling through Advanced Trace Analysis. [Research Report] RR-8889, Inria - Research Centre Grenoble { Rh^one-Alpes; Universit´eGrenoble Alpes; CNRS. 2016. <hal-01292618> HAL Id: hal-01292618 https://hal.inria.fr/hal-01292618 Submitted on 24 Mar 2016 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin , Vania Marangozova-Martin RESEARCH REPORT N° 8889 March 23, 2016 Project-Team Polaris ISSN 0249-6399 ISRN INRIA/RR--8889--FR+ENG Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin ∗ † ‡, Vania Marangozova-Martin ∗ † ‡ Project-Team Polaris Research Report n° 8889 — March 23, 2016 — 15 pages Abstract: Benchmarking has proven to be crucial for the investigation of the behavior and performances of a system. However, the choice of relevant benchmarks still remains a challenge. To help the process of comparing and choosing among benchmarks, we propose a solution for automatic benchmark profiling. -
Introduction to Digital Signal Processors
INTRODUCTION TO Accumulator architecture DIGITAL SIGNAL PROCESSORS Memory-register architecture Prof. Brian L. Evans in collaboration with Niranjan Damera-Venkata and Magesh Valliappan Load-store architecture Embedded Signal Processing Laboratory The University of Texas at Austin Austin, TX 78712-1084 http://anchovy.ece.utexas.edu/ Outline n Signal processing applications n Conventional DSP architecture n Pipelining in DSP processors n RISC vs. DSP processor architectures n TI TMS320C6x VLIW DSP architecture n Signal and image processing applications n Signal processing on general-purpose processors n Conclusion 2 Signal Processing Applications n Low-cost embedded systems 4 Modems, cellular telephones, disk drives, printers n High-throughput applications 4 Halftoning, radar, high-resolution sonar, tomography n PC based multimedia 4 Compression/decompression of audio, graphics, video n Embedded processor requirements 4 Inexpensive with small area and volume 4 Deterministic interrupt service routine latency 4 Low power: ~50 mW (TMS320C5402/20: 0.32 mA/MIP) 3 Conventional DSP Architecture n High data throughput 4 Harvard architecture n Separate data memory/bus and program memory/bus n Three reads and one or two writes per instruction cycle 4 Short deterministic interrupt service routine latency 4 Multiply-accumulate (MAC) in a single instruction cycle 4 Special addressing modes supported in hardware n Modulo addressing for circular buffers (e.g. FIR filters) n Bit-reversed addressing (e.g. fast Fourier transforms) 4Instructions to keep the -
BOOM): an Industry- Competitive, Synthesizable, Parameterized RISC-V Processor
The Berkeley Out-of-Order Machine (BOOM): An Industry- Competitive, Synthesizable, Parameterized RISC-V Processor Christopher Celio David A. Patterson Krste Asanović Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2015-167 http://www.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-167.html June 13, 2015 Copyright © 2015, by the author(s). All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. The Berkeley Out-of-Order Machine (BOOM): An Industry-Competitive, Synthesizable, Parameterized RISC-V Processor Christopher Celio, David Patterson, and Krste Asanovic´ University of California, Berkeley, California 94720–1770 [email protected] BOOM is a work-in-progress. Results shown are prelimi- nary and subject to change as of 2015 June. I$ L1 D$ (32k) L2 data 1. The Berkeley Out-of-Order Machine BOOM is a synthesizable, parameterized, superscalar out- exe of-order RISC-V core designed to serve as the prototypical baseline processor for future micro-architectural studies of uncore regfile out-of-order processors. Our goal is to provide a readable, issue open-source implementation for use in education, research, exe and industry. uncore BOOM is written in roughly 9,000 lines of the hardware L2 data (256k) construction language Chisel. -
Efficient Online Memory Error Assessment and Circumvention For
Int. J. Critical Computer-Based Systems, Vol. 4, No. 3, 227{247 1 Efficient Online Memory Error Assessment and Circumvention for Linux with RAMpage Horst Schirmeier*, Ingo Korb, Olaf Spinczyk and Michael Engel Department of Computer Science 12, Technische Universit¨atDortmund, Otto-Hahn-Str. 16, 44221 Dortmund, Germany E-mail: [email protected] E-mail: [email protected] E-mail: [email protected] E-mail: [email protected] *Corresponding author Abstract: Memory errors are a major source of reliability problems in computer systems. Undetected errors may result in program termination or, even worse, silent data corruption. Recent studies have shown that the frequency of permanent memory errors is an order of magnitude higher than previously assumed and regularly affects everyday operation. To reduce the impact of memory errors, we designed RAMpage, a purely software-based infrastructure to assess and circumvent permanent memory errors in a running commodity x86-64 Linux-based system. We briefly describe the design and implementation of RAMpage and present new results from an extensive qualitative and quantitative evaluation. These results show the efficiency of our approach { RAMpage is able to provide a smooth graceful degradation in the presence of permanent memory errors while requiring only a small overhead in terms of CPU time, energy, and memory space. Keywords: Memory errors; Software-based fault tolerance; DRAM chips; Silent data corruption; Operating systems; Reliable operation Biographical notes: Horst Schirmeier received his Diploma in Computer Science from Friedrich-Alexander-Universit¨atErlangen, Germany. He worked as a researcher in the System Software group at FAU Erlangen, and is currently working in the field of resilient infrastructure software and fault resilience assessment for the DanceOS project in the Embedded System Software group at Technische Universit¨atDortmund, Germany. -
A Free, Commercially Representative Embedded Benchmark Suite
MiBench: A free, commercially representative embedded benchmark suite Matthew R. Guthaus, Jeffrey S. Ringenberg, Dan Ernst, Todd M. Austin, Trevor Mudge, Richard B. Brown {mguthaus,jringenb,ernstd,taustin,tnm,brown}@eecs.umich.edu The University of Michigan Electrical Engineering and Computer Science 1301 Beal Ave., Ann Arbor, MI 48109-2122 Abstract Among the common features of these This paper examines a set of commercially microarchitectures are deep pipelines, significant representative embedded programs and compares them instruction level parallelism, sophisticated branch to an existing benchmark suite, SPEC2000. A new prediction schemes, and large caches. version of SimpleScalar that has been adapted to the Although this class of machines has been the chief ARM instruction set is used to characterize the focus of the computer architecture community, performance of the benchmarks using configurations relatively few microprocessors are employed in this similar to current and next generation embedded market segment. The vast majority of microprocessors processors. Several characteristics distinguish the are employed in embedded applications [8]. Although representative embedded programs from the existing many are just inexpensive microcontrollers, their SPEC benchmarks including instruction distribution, combined sales account for nearly half of all memory behavior, and available parallelism. The microprocessor revenue. Furthermore, the embedded embedded benchmarks, called MiBench, are freely application domain is the fastest growing market available to all researchers. segment in the microprocessor industry. The wide range of applications makes it difficult to 1. Introduction characterize the embedded domain. In fact, an Performance based design has made benchmarking embedded benchmark suite should reflect this by a critical part of the design process [1]. -
An Evaluation of Soft Processors As a Reliable Computing Platform
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2015-07-01 An Evaluation of Soft Processors as a Reliable Computing Platform Michael Robert Gardiner Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Electrical and Computer Engineering Commons BYU ScholarsArchive Citation Gardiner, Michael Robert, "An Evaluation of Soft Processors as a Reliable Computing Platform" (2015). Theses and Dissertations. 5509. https://scholarsarchive.byu.edu/etd/5509 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. An Evaluation of Soft Processors as a Reliable Computing Platform Michael Robert Gardiner A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Michael J. Wirthlin, Chair Brad L. Hutchings Brent E. Nelson Department of Electrical and Computer Engineering Brigham Young University July 2015 Copyright © 2015 Michael Robert Gardiner All Rights Reserved ABSTRACT An Evaluation of Soft Processors as a Reliable Computing Platform Michael Robert Gardiner Department of Electrical and Computer Engineering, BYU Master of Science This study evaluates the benefits and limitations of soft processors operating in a radiation-hardened FPGA, focusing primarily on the performance and reliability of these systems. FPGAs designs for four popular soft processors, the MicroBlaze, LEON3, Cortex- M0 DesignStart, and OpenRISC 1200 are developed for a Virtex-5 FPGA. The performance of these soft processor designs is then compared on ten widely-used benchmark programs. -
A 32-Bit Synthesizable Processor Core
IEIE Transactions on Smart Processing and Computing, vol. 4, no. 2, April 2015 http://dx.doi.org/10.5573/IEIESPC.2015.4.2.083 83 IEIE Transactions on Smart Processing and Computing Core-A: A 32-bit Synthesizable Processor Core Ji-Hoon Kim1,*, Jong-Yeol Lee2, and Ando Ki3 1 Department of Electronics Engineering, Chungnam National University / Daejeon, South Korea [email protected] 2 Division of Electronic Engineering, Chonbuk National University / Jeonju, South Korea [email protected] 3 R&D Center, Dynalith Systems / Daejeon, South Korea [email protected] * Corresponding Author: Ji-Hoon Kim Received November 20, 2014; Revised December 27, 2014; Accepted February 12, 2015; Published April 30, 2015 * Short Paper Review Paper: This paper reviews recent progress, possibly including previous works in a particular research topic, and has been accepted by the editorial board through the regular review process. Abstract: Core-A is 32-bit synthesizable processor core with a unique instruction set architecture (ISA). In this paper, the Core-A ISA is introduced with discussion of useful features and the development environment, including the software tool chain and hardware on-chip debugger. Core- A is described using Verilog-HDL and can be customized for a given application and synthesized for an application-specific integrated circuit or field-programmable gate array target. Also, the GNU Compiler Collection has been ported to support Core-A, and various predesigned platforms are well equipped with the established design flow to speed up the hardware/software co-design for a Core-A–based system. Keywords: Processor core, CPU, Embedded processor, Development environment 1.