Enumerating X86-64 – It's Not As Easy As Counting
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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 -
6.004 Computation Structures Spring 2009
MIT OpenCourseWare http://ocw.mit.edu 6.004 Computation Structures Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. M A S S A C H U S E T T S I N S T I T U T E O F T E C H N O L O G Y DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.004 Computation Structures β Documentation 1. Introduction This handout is a reference guide for the β, the RISC processor design for 6.004. This is intended to be a complete and thorough specification of the programmer-visible state and instruction set. 2. Machine Model The β is a general-purpose 32-bit architecture: all registers are 32 bits wide and when loaded with an address can point to any location in the byte-addressed memory. When read, register 31 is always 0; when written, the new value is discarded. Program Counter Main Memory PC always a multiple of 4 0x00000000: 3 2 1 0 0x00000004: 32 bits … Registers SUB(R3,R4,R5) 232 bytes R0 ST(R5,1000) R1 … … R30 0xFFFFFFF8: R31 always 0 0xFFFFFFFC: 32 bits 32 bits 3. Instruction Encoding Each β instruction is 32 bits long. All integer manipulation is between registers, with up to two source operands (one may be a sign-extended 16-bit literal), and one destination register. Memory is referenced through load and store instructions that perform no other computation. Conditional branch instructions are separated from comparison instructions: branch instructions test the value of a register that can be the result of a previous compare instruction. -
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. -
Operating Guide
Operating Guide EPIA EN-Series Mini-ITX Mainboard January 18, 2012 Version 1.21 EPIA EN-Series Operating Guide Table of Contents Table of Contents ...................................................................................................................................................................................... i VIA EPIA EN-Series Overview.............................................................................................................................................................. 1 VIA EPIA EN-Series Layout .................................................................................................................................................................. 2 VIA EPIA EN-Series Specifications ...................................................................................................................................................... 3 VIA EPIA EN Processor SKUs .............................................................................................................................................................. 4 VIA CN700 Chipset Overview ............................................................................................................................................................... 5 VIA EPIA EN-Series I/O Back Panel Layout ...................................................................................................................................... 6 VIA EPIA EN-Series Layout Diagram & Mounting Holes .............................................................................................................. -
Mac Labs. More Creativity
Mac labs. More creativity. More engagement. More learning. Every Mac comes ready for 21st-century learning. Mac OS X Server creates the ultimate lab environment. Creativity and innovation are critical skills in the modern Mac OS X Server includes simplified tools for creating wikis and workplace, which makes them critical skills to teach today’s blogs, so students and staff can set up and manage them with students. Apple offers comprehensive lab solutions for your little or no help from IT. The Spotlight Server feature makes it school or university that will creatively engage students and easy for students collaborating on projects to find and view motivate them to take an interest in their own learning. The content stored anywhere on the network. Of course, access iLife ’09 suite of applications comes standard on every Mac, controls are built in, so they only get the search results they’re so students can immediately begin creating podcasts, editing authorised to see. Mac OS X Server also allows for real-time videos, composing music, producing photo essays and more. streaming of audio and video content, which lets everyone get right to work instead of waiting for downloads – saving major Mac or PC? Have both. storage across your network. Now one lab really can solve all your computing needs. Every Mac is powered by an Intel processor and features Launch careers from your Mac lab. Mac OS X – the world’s most advanced operating system. As an Apple Authorised Training Centre for Education, your Mac OS X comes with an amazing dual-boot feature called school can build a bridge between students and real-world Boot Camp that lets students run Windows XP or Vista natively careers. -
Intel 8080 Datasheet
infel.. 8080A/8080A-1/8080A-2 8-BIT N-CHANNEL MICROPROCESSOR • TTL Drive Capability • Decimal, Binary, and Double Precision • 2,..,s (-1:1.3,..,s, -2:1.5 ,..,s) Instruction Arithmetic Cycle • Ability to Provide Priority Vectored • Powerful Problem Solving Instruction Interrupts Set • 512 Directly Addressed 110 Ports 6 General Purpose Registers and an Available In EXPRESS • Accumulator • - Standard Temperature Range 16-Blt Program Counter for Directly Available In 4Q-Lead Cerdlp and Plastic • Addressing up to 64K Bytes of Memory • Packages 16-Blt Stack Pointer and Stack (See Packaging Spec. Order #231369) • Manipulation Instructions for Rapid Switching of the Program Environment • The Intel 8080A is a complete 8-bit parallel central processing unit (CPU). It is fabricated on a single LSI chip using Intel's n-channel silicon gate MOS process. This offers the user a high performance solution to control and processing applications. The 8080A contains 6 8-bit general purpose working registers and an accumulator. The 6 general purpose registers may be addressed individually or in pairs providing both single and double precision operators. Arithmetic and logical instructions set or reset 4 testable flags. A fifth flag provides decimal arithmetic opera tion. The 8080A has an external stack feature wherein any portion of memory may be used as a last in/first out stack to store/retrieve the contents of the accumulator, flags, program counter, and all of the 6 general purpose registers. The 16-bit stack pointer controls the addressing of this external stack. This stack gives the 8080A the ability to easily handle multiple level priority interrupts by rapidly storing and restoring processor status. -
45-Year CPU Evolution: One Law and Two Equations
45-year CPU evolution: one law and two equations Daniel Etiemble LRI-CNRS University Paris Sud Orsay, France [email protected] Abstract— Moore’s law and two equations allow to explain the a) IC is the instruction count. main trends of CPU evolution since MOS technologies have been b) CPI is the clock cycles per instruction and IPC = 1/CPI is the used to implement microprocessors. Instruction count per clock cycle. c) Tc is the clock cycle time and F=1/Tc is the clock frequency. Keywords—Moore’s law, execution time, CM0S power dissipation. The Power dissipation of CMOS circuits is the second I. INTRODUCTION equation (2). CMOS power dissipation is decomposed into static and dynamic powers. For dynamic power, Vdd is the power A new era started when MOS technologies were used to supply, F is the clock frequency, ΣCi is the sum of gate and build microprocessors. After pMOS (Intel 4004 in 1971) and interconnection capacitances and α is the average percentage of nMOS (Intel 8080 in 1974), CMOS became quickly the leading switching capacitances: α is the activity factor of the overall technology, used by Intel since 1985 with 80386 CPU. circuit MOS technologies obey an empirical law, stated in 1965 and 2 Pd = Pdstatic + α x ΣCi x Vdd x F (2) known as Moore’s law: the number of transistors integrated on a chip doubles every N months. Fig. 1 presents the evolution for II. CONSEQUENCES OF MOORE LAW DRAM memories, processors (MPU) and three types of read- only memories [1]. The growth rate decreases with years, from A. -
ARM Instruction Set
4 ARM Instruction Set This chapter describes the ARM instruction set. 4.1 Instruction Set Summary 4-2 4.2 The Condition Field 4-5 4.3 Branch and Exchange (BX) 4-6 4.4 Branch and Branch with Link (B, BL) 4-8 4.5 Data Processing 4-10 4.6 PSR Transfer (MRS, MSR) 4-17 4.7 Multiply and Multiply-Accumulate (MUL, MLA) 4-22 4.8 Multiply Long and Multiply-Accumulate Long (MULL,MLAL) 4-24 4.9 Single Data Transfer (LDR, STR) 4-26 4.10 Halfword and Signed Data Transfer 4-32 4.11 Block Data Transfer (LDM, STM) 4-37 4.12 Single Data Swap (SWP) 4-43 4.13 Software Interrupt (SWI) 4-45 4.14 Coprocessor Data Operations (CDP) 4-47 4.15 Coprocessor Data Transfers (LDC, STC) 4-49 4.16 Coprocessor Register Transfers (MRC, MCR) 4-53 4.17 Undefined Instruction 4-55 4.18 Instruction Set Examples 4-56 ARM7TDMI-S Data Sheet 4-1 ARM DDI 0084D Final - Open Access ARM Instruction Set 4.1 Instruction Set Summary 4.1.1 Format summary The ARM instruction set formats are shown below. 3 3 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 9876543210 1 0 9 8 7 6 5 4 3 2 1 0 9 8 7 6 5 4 3 2 1 0 Cond 0 0 I Opcode S Rn Rd Operand 2 Data Processing / PSR Transfer Cond 0 0 0 0 0 0 A S Rd Rn Rs 1 0 0 1 Rm Multiply Cond 0 0 0 0 1 U A S RdHi RdLo Rn 1 0 0 1 Rm Multiply Long Cond 0 0 0 1 0 B 0 0 Rn Rd 0 0 0 0 1 0 0 1 Rm Single Data Swap Cond 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 Rn Branch and Exchange Cond 0 0 0 P U 0 W L Rn Rd 0 0 0 0 1 S H 1 Rm Halfword Data Transfer: register offset Cond 0 0 0 P U 1 W L Rn Rd Offset 1 S H 1 Offset Halfword Data Transfer: immediate offset Cond 0 -
Integrated Step-Down Converter with SVID Interface for Intel® CPU
Product Order Technical Tools & Support & Folder Now Documents Software Community TPS53820 SLUSE33 –FEBRUARY 2020 Integrated Step-Down Converter with SVID Interface for Intel® CPU Power Supply 1 Features 3 Description The TPS53820 device is D-CAP+ mode integrated 1• Single chip to support Intel VR13.HC SVID POL applications step-down converter for low current SVID rails of Intel CPU power supply. It provides up to two outputs to • Two outputs to support VCCANA (5.5 A) and power the low current SVID rails such as VCCANA P1V8 (4 A) (5.5 A) and P1V8 (4 A). The device employs D-CAP+ • D-CAP+™ Control for Fast Transient Response mode control to provide fast load transient • Wide Input Voltage (4.5 V to 15 V) performance. Internal compensation allows ease of use and reduces external components. • Differential Remote Sense • Programmable Internal Loop Compensation The device also provides telemetry, including input voltage, output voltage, output current and • Per-Phase Cycle-by-Cycle Current Limit temperature reporting. Over voltage, over current and • Programmable Frequency from 800 kHz to 2 MHz over temperature protections are provided as well. 2 • I C System Interface for Telemetry of Voltage, The TPS53820 device is packaged in a thermally Current, Output Power, Temperature, and Fault enhanced 35-pin QFN and operates between –40°C Conditions and 125°C. • Over-Current, Over-Voltage, Over-Temperature (1) protections Table 1. Device Information • Low Quiescent Current PART NUMBER PACKAGE BODY SIZE (NOM) • 5 mm × 5 mm, 35-Pin QFN, PowerPAD Package TPS53820 RWZ (35) 5 mm × 5 mm (1) For all available packages, see the orderable addendum at 2 Applications the end of the data sheet. -
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. -
The Von Neumann Computer Model 5/30/17, 10:03 PM
The von Neumann Computer Model 5/30/17, 10:03 PM CIS-77 Home http://www.c-jump.com/CIS77/CIS77syllabus.htm The von Neumann Computer Model 1. The von Neumann Computer Model 2. Components of the Von Neumann Model 3. Communication Between Memory and Processing Unit 4. CPU data-path 5. Memory Operations 6. Understanding the MAR and the MDR 7. Understanding the MAR and the MDR, Cont. 8. ALU, the Processing Unit 9. ALU and the Word Length 10. Control Unit 11. Control Unit, Cont. 12. Input/Output 13. Input/Output Ports 14. Input/Output Address Space 15. Console Input/Output in Protected Memory Mode 16. Instruction Processing 17. Instruction Components 18. Why Learn Intel x86 ISA ? 19. Design of the x86 CPU Instruction Set 20. CPU Instruction Set 21. History of IBM PC 22. Early x86 Processor Family 23. 8086 and 8088 CPU 24. 80186 CPU 25. 80286 CPU 26. 80386 CPU 27. 80386 CPU, Cont. 28. 80486 CPU 29. Pentium (Intel 80586) 30. Pentium Pro 31. Pentium II 32. Itanium processor 1. The von Neumann Computer Model Von Neumann computer systems contain three main building blocks: The following block diagram shows major relationship between CPU components: the central processing unit (CPU), memory, and input/output devices (I/O). These three components are connected together using the system bus. The most prominent items within the CPU are the registers: they can be manipulated directly by a computer program. http://www.c-jump.com/CIS77/CPU/VonNeumann/lecture.html Page 1 of 15 IPR2017-01532 FanDuel, et al.