Power Vector Intrinsic Programming Reference
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Investigations on Hardware Compression of IBM Power9 Processors
Investigations on hardware compression of IBM Power9 processors Jérome Kieffer, Pierre Paleo, Antoine Roux, Benoît Rousselle Outline ● The bandwidth issue at synchrotrons sources ● Presentation of the evaluated systems: – Intel Xeon vs IBM Power9 – Benchmarks on bandwidth ● The need for compression of scientific data – Compression as part of HDF5 – The hardware compression engine NX-gzip within Power9 – Gzip performance benchmark – Bitshuffle-LZ4 benchmark – Filter optimizations – Benchmark of parallel filtered gzip ● Conclusions – on the hardware – on the compression pipeline in HDF5 Page 2 HDF5 on Power9 18/09/2019 Bandwidth issue at synchrotrons sources Data analysis computer with the main interconnections and their associated bandwidth. Data reduction Upgrade to → Azimuthal integration 100 Gbit/s Data compression ! Figures from former generation of servers Kieffer et al. Volume 25 | Part 2 | March 2018 | Pages 612–617 | 10.1107/S1600577518000607 Page 3 HDF5 on Power9 18/09/2019 Topologies of Intel Xeon servers in 2019 Source: intel.com Page 4 HDF5 on Power9 18/09/2019 Architecture of the AC922 server from IBM featuring Power9 Credit: Thibaud Besson, IBM France Page 6 HDF5 on Power9 18/09/2019 Bandwidth measurement: Xeon vs Power9 Computer Dell R840 IBM AC922 Processor 4 Intel Xeon (12 cores) 2 IBM Power9 (16 cores) 2.6 GHz 2.7 GHz Cache (L3) 19 MB 8x 10 MB Memory channels 4x 6 DDR4 2x 8 DDR4 Memory capacity → 3TB → 2TB Memory speed theory 512 GB/s 340 GB/s Measured memory speed 160 GB/s 270 GB/s Interconnects PCIe v3 PCIe v4 NVlink2 & CAPI2 GP-GPU co-processor 2Tesla V100 PCIe v3 2Tesla V100 NVlink2 Interconnect speed 12 GB/s 48 GB/s CPU ↔ GPU Page 8 HDF5 on Power9 18/09/2019 Strength and weaknesses of the OpenPower architecture While amd64 is today’s de facto standard in HPC, it has a few competitors: arm64, ppc64le and to a less extend riscv and mips64. -
Vxworks Architecture Supplement, 6.2
VxWorks Architecture Supplement VxWorks® ARCHITECTURE SUPPLEMENT 6.2 Copyright © 2005 Wind River Systems, Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means without the prior written permission of Wind River Systems, Inc. Wind River, the Wind River logo, Tornado, and VxWorks are registered trademarks of Wind River Systems, Inc. Any third-party trademarks referenced are the property of their respective owners. For further information regarding Wind River trademarks, please see: http://www.windriver.com/company/terms/trademark.html This product may include software licensed to Wind River by third parties. Relevant notices (if any) are provided in your product installation at the following location: installDir/product_name/3rd_party_licensor_notice.pdf. Wind River may refer to third-party documentation by listing publications or providing links to third-party Web sites for informational purposes. Wind River accepts no responsibility for the information provided in such third-party documentation. Corporate Headquarters Wind River Systems, Inc. 500 Wind River Way Alameda, CA 94501-1153 U.S.A. toll free (U.S.): (800) 545-WIND telephone: (510) 748-4100 facsimile: (510) 749-2010 For additional contact information, please visit the Wind River URL: http://www.windriver.com For information on how to contact Customer Support, please visit the following URL: http://www.windriver.com/support VxWorks Architecture Supplement, 6.2 11 Oct 05 Part #: DOC-15660-ND-00 Contents 1 Introduction -
SIMD Extensions
SIMD Extensions PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sat, 12 May 2012 17:14:46 UTC Contents Articles SIMD 1 MMX (instruction set) 6 3DNow! 8 Streaming SIMD Extensions 12 SSE2 16 SSE3 18 SSSE3 20 SSE4 22 SSE5 26 Advanced Vector Extensions 28 CVT16 instruction set 31 XOP instruction set 31 References Article Sources and Contributors 33 Image Sources, Licenses and Contributors 34 Article Licenses License 35 SIMD 1 SIMD Single instruction Multiple instruction Single data SISD MISD Multiple data SIMD MIMD 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 simultaneously. Thus, such machines exploit data level parallelism. History The first use of SIMD instructions was in vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC, which could operate on a vector of data with a single instruction. Vector processing was especially popularized by Cray in the 1970s and 1980s. Vector-processing architectures are now considered separate from SIMD machines, based on the fact that vector machines processed the vectors one word at a time through pipelined processors (though still based on a single instruction), whereas modern SIMD machines process all elements of the vector simultaneously.[1] The first era of modern SIMD machines was characterized by massively parallel processing-style supercomputers such as the Thinking Machines CM-1 and CM-2. These machines had many limited-functionality processors that would work in parallel. -
POWER® Processor-Based Systems
IBM® Power® Systems RAS Introduction to IBM® Power® Reliability, Availability, and Serviceability for POWER9® processor-based systems using IBM PowerVM™ With Updates covering the latest 4+ Socket Power10 processor-based systems IBM Systems Group Daniel Henderson, Irving Baysah Trademarks, Copyrights, Notices and Acknowledgements Trademarks IBM, the IBM logo, and ibm.com are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. These and other IBM trademarked terms are marked on their first occurrence in this information with the appropriate symbol (® or ™), indicating US registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at http://www.ibm.com/legal/copytrade.shtml The following terms are trademarks of the International Business Machines Corporation in the United States, other countries, or both: Active AIX® POWER® POWER Power Power Systems Memory™ Hypervisor™ Systems™ Software™ Power® POWER POWER7 POWER8™ POWER® PowerLinux™ 7® +™ POWER® PowerHA® POWER6 ® PowerVM System System PowerVC™ POWER Power Architecture™ ® x® z® Hypervisor™ Additional Trademarks may be identified in the body of this document. Other company, product, or service names may be trademarks or service marks of others. Notices The last page of this document contains copyright information, important notices, and other information. Acknowledgements While this whitepaper has two principal authors/editors it is the culmination of the work of a number of different subject matter experts within IBM who contributed ideas, detailed technical information, and the occasional photograph and section of description. -
From Blue Gene to Cell Power.Org Moscow, JSCC Technical Day November 30, 2005
IBM eServer pSeries™ From Blue Gene to Cell Power.org Moscow, JSCC Technical Day November 30, 2005 Dr. Luigi Brochard IBM Distinguished Engineer Deep Computing Architect [email protected] © 2004 IBM Corporation IBM eServer pSeries™ Technology Trends As frequency increase is limited due to power limitation Dual core is a way to : 2 x Peak Performance per chip (and per cycle) But at the expense of frequency (around 20% down) Another way is to increase Flop/cycle © 2004 IBM Corporation IBM eServer pSeries™ IBM innovations POWER : FMA in 1990 with POWER: 2 Flop/cycle/chip Double FMA in 1992 with POWER2 : 4 Flop/cycle/chip Dual core in 2001 with POWER4: 8 Flop/cycle/chip Quadruple core modules in Oct 2005 with POWER5: 16 Flop/cycle/module PowerPC: VMX in 2003 with ppc970FX : 8 Flops/cycle/core, 32bit only Dual VMX+ FMA with pp970MP in 1Q06 Blue Gene: Low frequency , system on a chip, tight integration of thousands of cpus Cell : 8 SIMD units and a ppc970 core on a chip : 64 Flop/cycle/chip © 2004 IBM Corporation IBM eServer pSeries™ Technology Trends As needs diversify, systems are heterogeneous and distributed GRID technologies are an essential part to create cooperative environments based on standards © 2004 IBM Corporation IBM eServer pSeries™ IBM innovations IBM is : a sponsor of Globus Alliances contributing to Globus Tool Kit open souce a founding member of Globus Consortium IBM is extending its products Global file systems : – Multi platform and multi cluster GPFS Meta schedulers : – Multi platform -
IBM Powerpc 970 (A.K.A. G5)
IBM PowerPC 970 (a.k.a. G5) Ref 1 David Benham and Yu-Chung Chen UIC – Department of Computer Science CS 466 PPC 970FX overview ● 64-bit RISC ● 58 million transistors ● 512 KB of L2 cache and 96KB of L1 cache ● 90um process with a die size of 65 sq. mm ● Native 32 bit compatibility ● Maximum clock speed of 2.7 Ghz ● SIMD instruction set (Altivec) ● 42 watts @ 1.8 Ghz (1.3 volts) ● Peak data bandwidth of 6.4 GB per second A picture is worth a 2^10 words (approx.) Ref 2 A little history ● PowerPC processor line is a product of the AIM alliance formed in 1991. (Apple, IBM, and Motorola) ● PPC 601 (G1) - 1993 ● PPC 603 (G2) - 1995 ● PPC 750 (G3) - 1997 ● PPC 7400 (G4) - 1999 ● PPC 970 (G5) - 2002 ● AIM alliance dissolved in 2005 Processor Ref 3 Ref 3 Core details ● 16(int)-25(vector) stage pipeline ● Large number of 'in flight' instructions (various stages of execution) - theoretical limit of 215 instructions ● 512 KB L2 cache ● 96 KB L1 cache – 64 KB I-Cache – 32 KB D-Cache Core details continued ● 10 execution units – 2 load/store operations – 2 fixed-point register-register operations – 2 floating-point operations – 1 branch operation – 1 condition register operation – 1 vector permute operation – 1 vector ALU operation ● 32 64 bit general purpose registers, 32 64 bit floating point registers, 32 128 vector registers Pipeline Ref 4 Benchmarks ● SPEC2000 ● BLAST – Bioinformatics ● Amber / jac - Structure biology ● CFD lab code SPEC CPU2000 ● IBM eServer BladeCenter JS20 ● PPC 970 2.2Ghz ● SPECint2000 ● Base: 986 Peak: 1040 ● SPECfp2000 ● Base: 1178 Peak: 1241 ● Dell PowerEdge 1750 Xeon 3.06Ghz ● SPECint2000 ● Base: 1031 Peak: 1067 Apple’s SPEC Results*2 ● SPECfp2000 ● Base: 1030 Peak: 1044 BLAST Ref. -
CS 110 Discussion 15 Programming with SIMD Intrinsics
CS 110 Discussion 15 Programming with SIMD Intrinsics Yanjie Song School of Information Science and Technology May 7, 2020 Yanjie Song (S.I.S.T.) CS 110 Discussion 15 2020.05.07 1 / 21 Table of Contents 1 Introduction on Intrinsics 2 Compiler and SIMD Intrinsics 3 Intel(R) SDE 4 Application: Horizontal sum in vector Yanjie Song (S.I.S.T.) CS 110 Discussion 15 2020.05.07 2 / 21 Table of Contents 1 Introduction on Intrinsics 2 Compiler and SIMD Intrinsics 3 Intel(R) SDE 4 Application: Horizontal sum in vector Yanjie Song (S.I.S.T.) CS 110 Discussion 15 2020.05.07 3 / 21 Introduction on Intrinsics Definition In computer software, in compiler theory, an intrinsic function (or builtin function) is a function (subroutine) available for use in a given programming language whose implementation is handled specially by the compiler. Yanjie Song (S.I.S.T.) CS 110 Discussion 15 2020.05.07 4 / 21 Intrinsics in C/C++ Compilers for C and C++, of Microsoft, Intel, and the GNU Compiler Collection (GCC) implement intrinsics that map directly to the x86 single instruction, multiple data (SIMD) instructions (MMX, Streaming SIMD Extensions (SSE), SSE2, SSE3, SSSE3, SSE4). Yanjie Song (S.I.S.T.) CS 110 Discussion 15 2020.05.07 5 / 21 x86 SIMD instruction set extensions MMX (1996, 64 bits) 3DNow! (1998) Streaming SIMD Extensions (SSE, 1999, 128 bits) SSE2 (2001) SSE3 (2004) SSSE3 (2006) SSE4 (2006) Advanced Vector eXtensions (AVX, 2008, 256 bits) AVX2 (2013) F16C (2009) XOP (2009) FMA FMA4 (2011) FMA3 (2012) AVX-512 (2015, 512 bits) Yanjie Song (S.I.S.T.) CS 110 Discussion 15 2020.05.07 6 / 21 SIMD extensions in other ISAs There are SIMD instructions for other ISAs as well, e.g. -
IBM Power Systems Performance Report Apr 13, 2021
IBM Power Performance Report Power7 to Power10 September 8, 2021 Table of Contents 3 Introduction to Performance of IBM UNIX, IBM i, and Linux Operating System Servers 4 Section 1 – SPEC® CPU Benchmark Performance 4 Section 1a – Linux Multi-user SPEC® CPU2017 Performance (Power10) 4 Section 1b – Linux Multi-user SPEC® CPU2017 Performance (Power9) 4 Section 1c – AIX Multi-user SPEC® CPU2006 Performance (Power7, Power7+, Power8) 5 Section 1d – Linux Multi-user SPEC® CPU2006 Performance (Power7, Power7+, Power8) 6 Section 2 – AIX Multi-user Performance (rPerf) 6 Section 2a – AIX Multi-user Performance (Power8, Power9 and Power10) 9 Section 2b – AIX Multi-user Performance (Power9) in Non-default Processor Power Mode Setting 9 Section 2c – AIX Multi-user Performance (Power7 and Power7+) 13 Section 2d – AIX Capacity Upgrade on Demand Relative Performance Guidelines (Power8) 15 Section 2e – AIX Capacity Upgrade on Demand Relative Performance Guidelines (Power7 and Power7+) 20 Section 3 – CPW Benchmark Performance 19 Section 3a – CPW Benchmark Performance (Power8, Power9 and Power10) 22 Section 3b – CPW Benchmark Performance (Power7 and Power7+) 25 Section 4 – SPECjbb®2015 Benchmark Performance 25 Section 4a – SPECjbb®2015 Benchmark Performance (Power9) 25 Section 4b – SPECjbb®2015 Benchmark Performance (Power8) 25 Section 5 – AIX SAP® Standard Application Benchmark Performance 25 Section 5a – SAP® Sales and Distribution (SD) 2-Tier – AIX (Power7 to Power8) 26 Section 5b – SAP® Sales and Distribution (SD) 2-Tier – Linux on Power (Power7 to Power7+) -
PGI Compilers
USER'S GUIDE FOR X86-64 CPUS Version 2019 TABLE OF CONTENTS Preface............................................................................................................ xii Audience Description......................................................................................... xii Compatibility and Conformance to Standards............................................................xii Organization................................................................................................... xiii Hardware and Software Constraints.......................................................................xiv Conventions.................................................................................................... xiv Terms............................................................................................................ xv Related Publications.........................................................................................xvii Chapter 1. Getting Started.....................................................................................1 1.1. Overview................................................................................................... 1 1.2. Creating an Example..................................................................................... 2 1.3. Invoking the Command-level PGI Compilers......................................................... 2 1.3.1. Command-line Syntax...............................................................................2 1.3.2. Command-line Options............................................................................ -
Intel Hardware Intrinsics in .NET Core
Han Lee, Intel Corporation [email protected] Notices and Disclaimers No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade. This document contains information on products, services and/or processes in development. All information provided here is subject to change without notice. Contact your Intel representative to obtain the latest forecast, schedule, specifications and roadmaps. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Learn more at intel.com, or from the OEM or retailer. The products and services described may contain defects or errors known as errata which may cause deviations from published specifications. Current characterized errata are available on request. No product or component can be absolutely secure. Copies of documents which have an order number and are referenced in this document may be obtained by calling 1-800-548- 4725 or by visiting www.intel.com/design/literature.htm. Intel, the Intel logo, and other Intel product and solution names in this presentation are trademarks of Intel *Other names and brands may be claimed as the property of others © Intel Corporation. 2 What Do These Have in Common? Domain Example Image processing Color extraction High performance computing (HPC) Matrix multiplication Data processing Hamming code Text processing UTF-8 conversion Data structures Bit array Machine learning Classification For performance sensitive code, consider using Intel® hardware intrinsics 3 Objectives . -
Towards a Portable Hierarchical View of Distributed Shared Memory Systems: Challenges and Solutions
Towards A Portable Hierarchical View of Distributed Shared Memory Systems: Challenges and Solutions Millad Ghane Sunita Chandrasekaran Margaret S. Cheung Department of Computer Science Department of Computer and Information Physics Department University of Houston Sciences University of Houston TX, USA University of Delaware Center for Theoretical Biological Physics, [email protected],[email protected] DE, USA Rice University [email protected] TX, USA [email protected] Abstract 1 Introduction An ever-growing diversity in the architecture of modern super- Heterogeneity has become increasingly prevalent in the recent computers has led to challenges in developing scientifc software. years given its promising role in tackling energy and power con- Utilizing heterogeneous and disruptive architectures (e.g., of-chip sumption crisis of high-performance computing (HPC) systems [15, and, in the near future, on-chip accelerators) has increased the soft- 20]. Dennard scaling [14] has instigated the adaptation of heteroge- ware complexity and worsened its maintainability. To that end, we neous architectures in the design of supercomputers and clusters need a productive software ecosystem that improves the usability by the HPC community. The July 2019 TOP500 [36] report shows and portability of applications for such systems while allowing how 126 systems in the list are heterogeneous systems confgured every parallelism opportunity to be exploited. with one or many GPUs. This is the prevailing trend in current gen- In this paper, we outline several challenges that we encountered eration of supercomputers. As an example, Summit [31], the fastest in the implementation of Gecko, a hierarchical model for distributed supercomputer according to the Top500 list (June 2019) [36], has shared memory architectures, using a directive-based program- two IBM POWER9 processors and six NVIDIA Volta V100 GPUs. -
Chapter 1-Introduction to Microprocessors File
Chapter 1 Introduction to Microprocessors Expected Outcomes Explain the role of the CPU, memory and I/O device in a computer Distinguish between the microprocessor and microcontroller Differentiate various form of programming languages Compare between CISC vs RISC and Von Neumann vs Harvard architecture NMKNYFKEEUMP Introduction A microprocessor is an integrated circuit built on a tiny piece of silicon It contains thousands or even millions of transistors which are interconnected via superfine traces of aluminum The transistors work together to store and manipulate data so that the microprocessor can perform a wide variety of useful functions The particular functions a microprocessor perform are dictated by software The first microprocessor was the Intel 4004 (16-pin) introduced in 1971 containing 2300 transistors with 46 instruction sets Power8 processor, by contrast, contains 4.2 billion transistors NMKNYFKEEUMP Introduction Computer is an electronic machine that perform arithmetic operation and logic in response to instructions written Computer requires hardware and software to function Hardware is electronic circuit boards that provide functionality of the system such as power supply, cable, etc CPU – Central Processing Unit/Microprocessor Memory – store all programming and data Input/Output device – the flow of information Software is a programming that control the system operation and facilitate the computer usage Programming is a group of instructions that inform the computer to perform certain task NMKNYFKEEUMP Introduction Computer