BLAKE and 256-Bit Advanced Vector Extensions
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07 Vectorization for Intel C++ & Fortran Compiler .Pdf
Vectorization for Intel® C++ & Fortran Compiler Presenter: Georg Zitzlsberger Date: 10-07-2015 1 Agenda • Introduction to SIMD for Intel® Architecture • Compiler & Vectorization • Validating Vectorization Success • Reasons for Vectorization Fails • Intel® Cilk™ Plus • Summary 2 Optimization Notice Copyright © 2015, Intel Corporation. All rights reserved. *Other names and brands may be claimed as the property of others. Vectorization • Single Instruction Multiple Data (SIMD): . Processing vector with a single operation . Provides data level parallelism (DLP) . Because of DLP more efficient than scalar processing • Vector: . Consists of more than one element . Elements are of same scalar data types (e.g. floats, integers, …) • Vector length (VL): Elements of the vector A B AAi i BBi i A B Ai i Bi i Scalar Vector Processing + Processing + C CCi i C Ci i VL 3 Optimization Notice Copyright © 2015, Intel Corporation. All rights reserved. *Other names and brands may be claimed as the property of others. Evolution of SIMD for Intel Processors Present & Future: Goal: Intel® MIC Architecture, 8x peak FLOPs (FMA) over 4 generations! Intel® AVX-512: • 512 bit Vectors • 2x FP/Load/FMA 4th Generation Intel® Core™ Processors Intel® AVX2 (256 bit): • 2x FMA peak Performance/Core • Gather Instructions 2nd Generation 3rd Generation Intel® Core™ Processors Intel® Core™ Processors Intel® AVX (256 bit): • Half-float support • 2x FP Throughput • Random Numbers • 2x Load Throughput Since 1999: Now & 2010 2012 2013 128 bit Vectors Future Time 4 Optimization Notice -
Analysis of SIMD Applicability to SHA Algorithms O
1 Analysis of SIMD Applicability to SHA Algorithms O. Aciicmez Abstract— It is possible to increase the speed and throughput of The remainder of the paper is organized as follows: In an algorithm using parallelization techniques. Single-Instruction section 2 and 3, we introduce SIMD concept and the SIMD Multiple-Data (SIMD) is a parallel computation model, which has architecture of Intel including MMX technology and SSE already employed by most of the current processor families. In this paper we will analyze four SHA algorithms and determine extensions. Section 4 describes SHA algorithm and Section possible performance gains that can be achieved using SIMD 5 discusses the possible improvements on SHA performance parallelism. We will point out the appropriate parts of each that can be achieved by using SIMD instructions. algorithm, where SIMD instructions can be used. II. SIMD PARALLEL PROCESSING I. INTRODUCTION Single-instruction multiple-data execution model allows Today the security of a cryptographic mechanism is not the several data elements to be processed at the same time. The only concern of cryptographers. The heavy communication conventional scalar execution model, which is called single- traffic on contemporary very large network of interconnected instruction single-data (SISD) deals only with one pair of data devices demands a great bandwidth for security protocols, and at a time. The programs using SIMD instructions can run much hence increasing the importance of speed and throughput of a faster than their scalar counterparts. However SIMD enabled cryptographic mechanism. programs are harder to design and implement. A straightforward approach to improve cryptographic per- The most common use of SIMD instructions is to perform formance is to implement cryptographic algorithms in hard- parallel arithmetic or logical operations on multiple data ware. -
New Instruction Set Extensions
New Instruction Set Extensions Instruction Set Innovation in Intels Processor Code Named Haswell [email protected] Agenda • Introduction - Overview of ISA Extensions • Haswell New Instructions • New Instructions Overview • Intel® AVX2 (256-bit Integer Vectors) • Gather • FMA: Fused Multiply-Add • Bit Manipulation Instructions • TSX/HLE/RTM • Tools Support for New Instruction Set Extensions • Summary/References Copyright© 2012, Intel Corporation. All rights reserved. Partially Intel Confidential Information. 2 *Other brands and names are the property of their respective owners. Instruction Set Architecture (ISA) Extensions 199x MMX, CMOV, Multiple new instruction sets added to the initial 32bit instruction PAUSE, set of the Intel® 386 processor XCHG, … 1999 Intel® SSE 70 new instructions for 128-bit single-precision FP support 2001 Intel® SSE2 144 new instructions adding 128-bit integer and double-precision FP support 2004 Intel® SSE3 13 new 128-bit DSP-oriented math instructions and thread synchronization instructions 2006 Intel SSSE3 16 new 128-bit instructions including fixed-point multiply and horizontal instructions 2007 Intel® SSE4.1 47 new instructions improving media, imaging and 3D workloads 2008 Intel® SSE4.2 7 new instructions improving text processing and CRC 2010 Intel® AES-NI 7 new instructions to speedup AES 2011 Intel® AVX 256-bit FP support, non-destructive (3-operand) 2012 Ivy Bridge NI RNG, 16 Bit FP 2013 Haswell NI AVX2, TSX, FMA, Gather, Bit NI A long history of ISA Extensions ! Copyright© 2012, Intel Corporation. All rights reserved. Partially Intel Confidential Information. 3 *Other brands and names are the property of their respective owners. Instruction Set Architecture (ISA) Extensions • Why new instructions? • Higher absolute performance • More energy efficient performance • New application domains • Customer requests • Fill gaps left from earlier extensions • For a historical overview see http://en.wikipedia.org/wiki/X86_instruction_listings Copyright© 2012, Intel Corporation. -
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. -
RISC-V Vector Extension Webinar I
RISC-V Vector Extension Webinar I July 13th, 2021 Thang Tran, Ph.D. Principal Engineer Who WeAndes Are Technology Corporation CPU Pure-play RISC-V Founding Major Open-Source CPU IP Vendor Premier Member Contributor/Maintainer RISC-V Ambassador 16-year-old Running Task Groups Public Company TSC Vice Chair Director of the Board Quick Facts + NL 100 years 80% FR BJ KR USA JP IL SH CPU Experience in Silicon Valley R&D SZ TW (HQ) 200+ 20K+ 7B+ Licensees AndeSight IDE Total shipment of Andes- installations Embedded™ SoC Confidential Taking RISC-V® Mainstream 2 Andes Technology Corporation Overview Andes Highlights •Founded in March 2005 in Hsinchu Science Park, Taiwan, ROC. •World class 32/64-bit RISC-V CPU IP public company •Over 200 people; 80% are engineers; R&D team consisting of Silicon Valley veterans •TSMC OIP Award “Partner of the Year” for New IP (2015) •A Premier founding member of RISC-V Foundation •2018 MCU Innovation Award by China Electronic News: AndesCore™ N25F/NX25F •ASPENCORE WEAA 2020 Outstanding Product Performance of the Year: AndesCore™ NX27V •2020 HsinChu Science Park Innovation Award: AndesCore™ NX27V Andes Mission • Trusted Computing Expert and World No.1 RISC-V IP Provider Emerging Opportunities • AIoT, 5G/Networking, Storage and Cloud computing 3 V5 Adoptions: From MCU to Datacenters • Edge to Cloud: − ADAS − Datacenter AI accelerators − AIoT − SSD: enterprise (& consumer) − Blockchain − 5G macro/small cells − FPGA − MCU − Multimedia − Security − Wireless (BT/WiFi) 5G Macro • 1 to 1000+ core • 40nm to 5nm • Many in AI Copyright© 2020 Andes Technology Corp. 4 Webinar I - Agenda • Andes overview • Vector technology background – SIMD/vector concept – Vector processor basic • RISC-V V extension ISA – Basic – CSR – Memory operations – Compute instructions • Sample codes – Matrix multiplication – Loads with RVV versions 0.8 and 1.0 • AndesCore™ NX27V introduction • Summary Copyright© 2020 Andes Technology Corp. -
NASM – the Netwide Assembler
NASM – The Netwide Assembler version 2.14rc7 © 1996−2017 The NASM Development Team — All Rights Reserved This document is redistributable under the license given in the file "LICENSE" distributed in the NASM archive. Contents Chapter 1: Introduction . 17 1.1 What Is NASM?. 17 1.1.1 License Conditions . 17 Chapter 2: Running NASM . 19 2.1 NASM Command−Line Syntax . 19 2.1.1 The −o Option: Specifying the Output File Name . 19 2.1.2 The −f Option: Specifying the Output File Format . 20 2.1.3 The −l Option: Generating a Listing File . 20 2.1.4 The −M Option: Generate Makefile Dependencies. 20 2.1.5 The −MG Option: Generate Makefile Dependencies . 20 2.1.6 The −MF Option: Set Makefile Dependency File. 20 2.1.7 The −MD Option: Assemble and Generate Dependencies . 20 2.1.8 The −MT Option: Dependency Target Name . 21 2.1.9 The −MQ Option: Dependency Target Name (Quoted) . 21 2.1.10 The −MP Option: Emit phony targets . 21 2.1.11 The −MW Option: Watcom Make quoting style . 21 2.1.12 The −F Option: Selecting a Debug Information Format . 21 2.1.13 The −g Option: Enabling Debug Information. 21 2.1.14 The −X Option: Selecting an Error Reporting Format . 21 2.1.15 The −Z Option: Send Errors to a File. 22 2.1.16 The −s Option: Send Errors to stdout ..........................22 2.1.17 The −i Option: Include File Search Directories . 22 2.1.18 The −p Option: Pre−Include a File . 22 2.1.19 The −d Option: Pre−Define a Macro . -
Amd Epyc 7351
SPEC CPU2017 Floating Point Rate Result spec Copyright 2017-2019 Standard Performance Evaluation Corporation Sugon SPECrate2017_fp_base = 176 Sugon A620-G30 (AMD EPYC 7351) SPECrate2017_fp_peak = 177 CPU2017 License: 9046 Test Date: Dec-2017 Test Sponsor: Sugon Hardware Availability: Dec-2017 Tested by: Sugon Software Availability: Aug-2017 Copies 0 30.0 60.0 90.0 120 150 180 210 240 270 300 330 360 390 420 450 480 510 560 64 550 503.bwaves_r 32 552 165 507.cactuBSSN_r 64 163 130 508.namd_r 64 142 64 141 510.parest_r 32 146 168 511.povray_r 64 175 64 121 519.lbm_r 32 124 64 192 521.wrf_r 32 161 190 526.blender_r 64 188 164 527.cam4_r 64 162 248 538.imagick_r 64 250 205 544.nab_r 64 205 64 160 549.fotonik3d_r 32 163 64 96.7 554.roms_r 32 103 SPECrate2017_fp_base (176) SPECrate2017_fp_peak (177) Hardware Software CPU Name: AMD EPYC 7351 OS: Red Hat Enterprise Linux Server 7.4 Max MHz.: 2900 kernel 3.10.0-693.2.2 Nominal: 2400 Enabled: 32 cores, 2 chips, 2 threads/core Compiler: C/C++: Version 1.0.0 of AOCC Orderable: 1,2 chips Fortran: Version 4.8.2 of GCC Cache L1: 64 KB I + 32 KB D on chip per core Parallel: No L2: 512 KB I+D on chip per core Firmware: American Megatrends Inc. BIOS Version 0WYSZ018 released Aug-2017 L3: 64 MB I+D on chip per chip, 8 MB shared / 2 cores File System: ext4 Other: None System State: Run level 3 (Multi User) Memory: 512 GB (16 x 32 GB 2Rx4 PC4-2667V-R, running at Base Pointers: 64-bit 2400) Peak Pointers: 32/64-bit Storage: 1 x 3000 GB SATA, 7200 RPM Other: None Other: None Page 1 Standard Performance Evaluation -
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. -
Extensions to Instruction Sets
Extensions to Instruction Sets Ricardo Manuel Meira Ferrão Luis Departamento de Informática, Universidade do Minho 4710 - 057 Braga, Portugal [email protected] Abstract. This communication analyses extensions to instruction sets in general purpose processors, together with their evolution and significant innovation. It begins with an overview of specific multimedia and digital signal processing requirements and then it focuses on feature detection to properly identify the adequate extension. A brief performance evaluation on two competitive processors closes the communication. 1 Introduction The purpose of this communication is to analyse extensions to instruction sets, describe the specific multimedia and digital signal processing (DSP) requirements of a processor, detail how to detect these extensions and verify if the processor supports them. To achieve this functionality an IA32 architecture example code will be demonstrated. To study the instruction sets supported by each processor, an analysis is performed to compare and distinguish each technology in terms of new extensions to instruction sets and architecture evolution, mapping a table that lists the instruction sets supported by each processor. To clearly identify these differences between architectures, tests are performed with an application example, determining comparable results of two competitive processors. In this communication, Section 2 gives an overview of multimedia and digital signal processing requirements, Section 3 explains the feature detection of these instructions, Section 4 details some of the extensions supported by IA32 based processors, Section 5 tests and describes the performance of each technology and analyses the results. Section 6 concludes this communication. 2 Multimedia and DSP Requirements Computer industries needed a way to improve their multimedia capabilities because of the demand for 3D graphics, video and other multimedia applications such as games. -
PCLMULQDQ Instruction Definition
® White Paper Intel Carry-Less Shay Gueron Multiplication Intel Architecture Group, Israel Development Center Intel Corporation Instruction and its Michael E. Kounavis Usage for Computing Intel Labs, Circuits and Systems Research the GCM Mode Intel Corporation The Intel® PCLMULQDQ instruction is a new instruction available beginning with the all new 2010 Intel® Core™ processor family based on the 32nm Intel® microarchitecture codename Westmere. The PCLMULQDQ instruction performs carry-less multiplication of two 64-bit operands. This paper provides information on the instruction, and its usage for computing the Galois Hash. It also provides code examples for the usage of PCLMULQDQ, together with the Intel® AES New Instructions for efficient implementation of AES in Galois Counter Mode (AES-GCM). This version of the paper also provides high performance code examples for AES-GCM, and discloses, for the first time, their measured performance numbers. 323640-002 Revision 2.02 April 2014 Intel® Carry-Less Multiplication Instruction and its Usage for Computing the GCM Mode Contents Introduction ..................................................................................................................... 4 Preliminaries .................................................................................................................... 4 PCLMULQDQ Instruction Definition .................................................................................... 7 The Galois Counter Mode (GCM) ..................................................................................... -
AMD's Bulldozer Architecture
AMD's Bulldozer Architecture Chris Ziemba Jonathan Lunt Overview • AMD's Roadmap • Instruction Set • Architecture • Performance • Later Iterations o Piledriver o Steamroller o Excavator Slide 2 1 Changed this section, bulldozer is covered in architecture so it makes sense to not reiterate with later slides Chris Ziemba, 鳬o AMD's Roadmap • October 2011 o First iteration, Bulldozer released • June 2013 o Piledriver, implemented in 2nd gen FX-CPUs • 2013 o Steamroller, implemented in 3rd gen FX-CPUs • 2014 o Excavator, implemented in 4th gen Fusion APUs • 2015 o Revised Excavator adopted in 2015 for FX-CPUs and beyond Instruction Set: Overview • Type: CISC • Instruction Set: x86-64 (AMD64) o Includes Old x86 Registers o Extends Registers and adds new ones o Two Operating Modes: Long Mode & Legacy Mode • Integer Size: 64 bits • Virtual Address Space: 64 bits o 16 EB of Address Space (17,179,869,184 GB) • Physical Address Space: 48 bits (Current Versions) o Saves space/transistors/etc o 256TB of Address Space Instruction Set: ISA Registers Instruction Set: Operating Modes Instruction Set: Extensions • Intel x86 Extensions o SSE4 : Streaming SIMD (Single Instruction, Multiple Data) Extension 4. Mainly for DSP and Graphics Processing. o AES-NI: Advanced Encryption Standard (AES) Instructions o AVX: Advanced Vector Extensions. 256 bit registers for computationally complex floating point operations such as image/video processing, simulation, etc. • AMD x86 Extensions o XOP: AMD specified SSE5 Revision o FMA4: Fused multiply-add (MAC) instructions -
Intel® Software Guard Extensions (Intel® SGX)
Intel® Software Guard Extensions (Intel® SGX) Developer Guide Intel(R) Software Guard Extensions Developer Guide Legal Information 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 war- ranties 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 rep- resentative to obtain the latest forecast, schedule, specifications and roadmaps. 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. 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. 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, Xeon, and Xeon Phi are trademarks of Intel Corporation in the U.S. and/or other countries. Optimization Notice Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations.