A New Approach to Design of an Address Generation Unit in a DSP Processor
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AMD Athlon™ Processor X86 Code Optimization Guide
AMD AthlonTM Processor x86 Code Optimization Guide © 2000 Advanced Micro Devices, Inc. All rights reserved. The contents of this document are provided in connection with Advanced Micro Devices, Inc. (“AMD”) products. AMD makes no representations or warranties with respect to the accuracy or completeness of the contents of this publication and reserves the right to make changes to specifications and product descriptions at any time without notice. No license, whether express, implied, arising by estoppel or otherwise, to any intellectual property rights is granted by this publication. Except as set forth in AMD’s Standard Terms and Conditions of Sale, AMD assumes no liability whatsoever, and disclaims any express or implied warranty, relating to its products including, but not limited to, the implied warranty of merchantability, fitness for a particular purpose, or infringement of any intellectual property right. AMD’s products are not designed, intended, authorized or warranted for use as components in systems intended for surgical implant into the body, or in other applications intended to support or sustain life, or in any other applica- tion in which the failure of AMD’s product could create a situation where per- sonal injury, death, or severe property or environmental damage may occur. AMD reserves the right to discontinue or make changes to its products at any time without notice. Trademarks AMD, the AMD logo, AMD Athlon, K6, 3DNow!, and combinations thereof, AMD-751, K86, and Super7 are trademarks, and AMD-K6 is a registered trademark of Advanced Micro Devices, Inc. Microsoft, Windows, and Windows NT are registered trademarks of Microsoft Corporation. -
Benchmark Evaluations of Modern Multi Processor Vlsi Ds Pm Ps
1220 Session 1220 Benchmark Evaluations of Modern Multi-Processor VLSI DSPµPs Aaron L. Robinson and Fred O. Simons, Jr. High-Performance Computing and Simulation (HCS) Research Laboratory Electrical Engineering Department Florida A&M University and Florida State University Tallahassee, FL 32316-2175 Abstract - The authors continue their tradition of presenting technical reviews and performance comparisons of the newest multi-processor VLSI DSPµPs with the intention of providing concise focused analyses designed to help established or aspiring DSP analysts evaluate the applicability of new DSP technology to their specific applications. As in the past, the Analog Devices SHARCTM and Texas Instruments TMS320C80 families of DSPµPs will be the focus of our presentation because these manufacturers continue to push the envelop of new DSPµPs (Digital Signal Processing microProcessors) development. However, in addition to the standard performance analyses and benchmark evaluations, the authors will present a new image-processing bench marking technique designed specifically for evaluating new DSPµP image processing capabilities. 1. Introduction The combination of constantly evolving DSP algorithm development and continually advancing DSPuP hardware have formed the basis for an exponential growth in DSP applications. The increased market demand for these applications and their required hardware has resulted in the production of DSPuPs with very powerful components capable of performing a wide range of complicated operations. Due to the complicated architectures of these new processors, it would be time consuming for even the experienced DSP analysts to review and evaluate these new DSPuPs. Furthermore, the inexperienced DSP analysts would find it even more time consuming, and possibly very difficult to appreciate the significance and opportunities for these new components. -
Soft Machines Targets Ipcbottleneck
SOFT MACHINES TARGETS IPC BOTTLENECK New CPU Approach Boosts Performance Using Virtual Cores By Linley Gwennap (October 27, 2014) ................................................................................................................... Coming out of stealth mode at last week’s Linley Pro- president/CTO Mohammad Abdallah. Investors include cessor Conference, Soft Machines disclosed a new CPU AMD, GlobalFoundries, and Samsung as well as govern- technology that greatly improves performance on single- ment investment funds from Abu Dhabi (Mubdala), Russia threaded applications. The new VISC technology can con- (Rusnano and RVC), and Saudi Arabia (KACST and vert a single software thread into multiple virtual threads, Taqnia). Its board of directors is chaired by Global Foun- which it can then divide across multiple physical cores. dries CEO Sanjay Jha and includes legendary entrepreneur This conversion happens inside the processor hardware Gordon Campbell. and is thus invisible to the application and the software Soft Machines hopes to license the VISC technology developer. Although this capability may seem impossible, to other CPU-design companies, which could add it to Soft Machines has demonstrated its performance advan- their existing CPU cores. Because its fundamental benefit tage using a test chip that implements a VISC design. is better IPC, VISC could aid a range of applications from Without VISC, the only practical way to improve single-thread performance is to increase the parallelism Application (sequential code) (instructions per cycle, or IPC) of the CPU microarchi- Single Thread tecture. Taken to the extreme, this approach results in massive designs such as Intel’s Haswell and IBM’s Power8 OS and Hypervisor that deliver industry-leading performance but waste power Standard ISA and die area. -
(12) Patent Application Publication (10) Pub. No.: US 2011/0231717 A1 HUR Et Al
US 20110231717A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2011/0231717 A1 HUR et al. (43) Pub. Date: Sep. 22, 2011 (54) SEMICONDUCTOR MEMORY DEVICE Publication Classification (76) Inventors: Hwang HUR, Kyoungki-do (KR): ( 51) Int. Cl. Chang-Ho Do, Kyoungki-do (KR): C. % CR Jae-Bum Ko, Kyoungki-do (KR); ( .01) Jin-Il Chung, Kyoungki-do (KR) (21) Appl. N 13A149,683 (52) U.S. Cl. ................................. 714/718; 714/E11.145 ppl. No.: 9 (22)22) FileFiled: Mavay 31,51, 2011 (57) ABSTRACT Related U.S. Application Data Semiconductor memory device includes a cell array includ (62) Division of application No. 12/154,870, filed on May ing a plurality of unit cells; and a test circuit configured to 28, 2008, now Pat. No. 7,979,758. perform a built-in self-stress (BISS) test for detecting a defect by performing a plurality of internal operations including a (30) Foreign Application Priority Data write operation through an access to the unit cells using a plurality of patterns during a test procedure carried out at a Feb. 29, 2008 (KR) ............................. 2008-OO18761 wafer-level. O 2 FAD MoDE PE, FRS PWD PADX8 GENERATOR EAELER PEC 3. PD) PWDC CRECKCCES CKCKB RASCASECSCE SISTE CLOCKBUFFER CEE e EST CLK BSI RASCASECSCKE WREFB ESTE s ACTF 32 P 8:W 4. 38t.A 3. se. A(2) FIRST REFRESH AKE13A2) REFIREFA CONTROR ROWANC RSBSAApp.12BS ARS BA255612.ESE E L - ww.i. 33 EE 3. PE PWDA RAE7(3) ECS issi: OLREFB SECOND LAK:2) BSDT DATABUFFERG08 EABLER REFIREFA SECON REFRESH BSE Y ADDRC CONTROLLER BST YEADDK)) PWS Testaposs WKB811-12 BAADDICBAAD BSYBRST (88.11:12) "Of BST CLK 380 3. -
Arithmetic and Logical Unit Design for Area Optimization for Microcontroller Amrut Anilrao Purohit 1,2 , Mohammed Riyaz Ahmed 2 and R
et International Journal on Emerging Technologies 11 (2): 668-673(2020) ISSN No. (Print): 0975-8364 ISSN No. (Online): 2249-3255 Arithmetic and Logical Unit Design for Area Optimization for Microcontroller Amrut Anilrao Purohit 1,2 , Mohammed Riyaz Ahmed 2 and R. Venkata Siva Reddy 2 1Research Scholar, VTU Belagavi (Karnataka), India. 2School of Electronics and Communication Engineering, REVA University Bengaluru, (Karnataka), India. (Corresponding author: Amrut Anilrao Purohit) (Received 04 January 2020, Revised 02 March 2020, Accepted 03 March 2020) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: Arithmetic and Logic Unit (ALU) can be understood with basic knowledge of digital electronics and any engineer will go through the details only once. The advantage of knowing ALU in detail is two- folded: firstly, programming of the processing device can be efficient and secondly, can design a new ALU architecture as per the various constraints of the use cases. The miniaturization of digital circuits can be achieved by either reducing the size of transistor (Moore’s law) or by optimizing the gate count of the circuit. The first has been explored extensively while the latter has been ignored which deals with the application of Boolean rules and requires sound knowledge of logic design. The ultimate outcome is to have an area optimized architecture/approach that optimizes the circuit at gate level. The design of ALU is for various processing devices varies with the device/system requirements. The area optimization places a significant role in the chip design. Here in this work, we have attempted to design an ALU which is area efficient while being loaded with additional functionality necessary for microcontrollers. -
Unit 8 : Microprocessor Architecture
Unit 8 : Microprocessor Architecture Lesson 1 : Microcomputer Structure 1.1. Learning Objectives On completion of this lesson you will be able to : ♦ draw the block diagram of a simple computer ♦ understand the function of different units of a microcomputer ♦ learn the basic operation of microcomputer bus system. 1.2. Digital Computer A digital computer is a multipurpose, programmable machine that reads A digital computer is a binary instructions from its memory, accepts binary data as input and multipurpose, programmable processes data according to those instructions, and provides results as machine. output. 1.3. Basic Computer System Organization Every computer contains five essential parts or units. They are Basic computer system organization. i. the arithmetic logic unit (ALU) ii. the control unit iii. the memory unit iv. the input unit v. the output unit. 1.3.1. The Arithmetic and Logic Unit (ALU) The arithmetic and logic unit (ALU) is that part of the computer that The arithmetic and logic actually performs arithmetic and logical operations on data. All other unit (ALU) is that part of elements of the computer system - control unit, register, memory, I/O - the computer that actually are there mainly to bring data into the ALU to process and then to take performs arithmetic and the results back out. logical operations on data. An arithmetic and logic unit and, indeed, all electronic components in the computer are based on the use of simple digital logic devices that can store binary digits and perform simple Boolean logic operations. Data are presented to the ALU in registers. These registers are temporary storage locations within the CPU that are connected by signal paths of the ALU. -
Computer Architecture Out-Of-Order Execution
Computer Architecture Out-of-order Execution By Yoav Etsion With acknowledgement to Dan Tsafrir, Avi Mendelson, Lihu Rappoport, and Adi Yoaz 1 Computer Architecture 2013– Out-of-Order Execution The need for speed: Superscalar • Remember our goal: minimize CPU Time CPU Time = duration of clock cycle × CPI × IC • So far we have learned that in order to Minimize clock cycle ⇒ add more pipe stages Minimize CPI ⇒ utilize pipeline Minimize IC ⇒ change/improve the architecture • Why not make the pipeline deeper and deeper? Beyond some point, adding more pipe stages doesn’t help, because Control/data hazards increase, and become costlier • (Recall that in a pipelined CPU, CPI=1 only w/o hazards) • So what can we do next? Reduce the CPI by utilizing ILP (instruction level parallelism) We will need to duplicate HW for this purpose… 2 Computer Architecture 2013– Out-of-Order Execution A simple superscalar CPU • Duplicates the pipeline to accommodate ILP (IPC > 1) ILP=instruction-level parallelism • Note that duplicating HW in just one pipe stage doesn’t help e.g., when having 2 ALUs, the bottleneck moves to other stages IF ID EXE MEM WB • Conclusion: Getting IPC > 1 requires to fetch/decode/exe/retire >1 instruction per clock: IF ID EXE MEM WB 3 Computer Architecture 2013– Out-of-Order Execution Example: Pentium Processor • Pentium fetches & decodes 2 instructions per cycle • Before register file read, decide on pairing Can the two instructions be executed in parallel? (yes/no) u-pipe IF ID v-pipe • Pairing decision is based… On data -
Performance of a Computer (Chapter 4) Vishwani D
ELEC 5200-001/6200-001 Computer Architecture and Design Fall 2013 Performance of a Computer (Chapter 4) Vishwani D. Agrawal & Victor P. Nelson epartment of Electrical and Computer Engineering Auburn University, Auburn, AL 36849 ELEC 5200-001/6200-001 Performance Fall 2013 . Lecture 1 What is Performance? Response time: the time between the start and completion of a task. Throughput: the total amount of work done in a given time. Some performance measures: MIPS (million instructions per second). MFLOPS (million floating point operations per second), also GFLOPS, TFLOPS (1012), etc. SPEC (System Performance Evaluation Corporation) benchmarks. LINPACK benchmarks, floating point computing, used for supercomputers. Synthetic benchmarks. ELEC 5200-001/6200-001 Performance Fall 2013 . Lecture 2 Small and Large Numbers Small Large 10-3 milli m 103 kilo k 10-6 micro μ 106 mega M 10-9 nano n 109 giga G 10-12 pico p 1012 tera T 10-15 femto f 1015 peta P 10-18 atto 1018 exa 10-21 zepto 1021 zetta 10-24 yocto 1024 yotta ELEC 5200-001/6200-001 Performance Fall 2013 . Lecture 3 Computer Memory Size Number bits bytes 210 1,024 K Kb KB 220 1,048,576 M Mb MB 230 1,073,741,824 G Gb GB 240 1,099,511,627,776 T Tb TB ELEC 5200-001/6200-001 Performance Fall 2013 . Lecture 4 Units for Measuring Performance Time in seconds (s), microseconds (μs), nanoseconds (ns), or picoseconds (ps). Clock cycle Period of the hardware clock Example: one clock cycle means 1 nanosecond for a 1GHz clock frequency (or 1GHz clock rate) CPU time = (CPU clock cycles)/(clock rate) Cycles per instruction (CPI): average number of clock cycles used to execute a computer instruction. -
Chap01: Computer Abstractions and Technology
CHAPTER 1 Computer Abstractions and Technology 1.1 Introduction 3 1.2 Eight Great Ideas in Computer Architecture 11 1.3 Below Your Program 13 1.4 Under the Covers 16 1.5 Technologies for Building Processors and Memory 24 1.6 Performance 28 1.7 The Power Wall 40 1.8 The Sea Change: The Switch from Uniprocessors to Multiprocessors 43 1.9 Real Stuff: Benchmarking the Intel Core i7 46 1.10 Fallacies and Pitfalls 49 1.11 Concluding Remarks 52 1.12 Historical Perspective and Further Reading 54 1.13 Exercises 54 CMPS290 Class Notes (Chap01) Page 1 / 24 by Kuo-pao Yang 1.1 Introduction 3 Modern computer technology requires professionals of every computing specialty to understand both hardware and software. Classes of Computing Applications and Their Characteristics Personal computers o A computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. o Personal computers emphasize delivery of good performance to single users at low cost and usually execute third-party software. o This class of computing drove the evolution of many computing technologies, which is only about 35 years old! Server computers o A computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. o Servers are built from the same basic technology as desktop computers, but provide for greater computing, storage, and input/output capacity. Supercomputers o A class of computers with the highest performance and cost o Supercomputers consist of tens of thousands of processors and many terabytes of memory, and cost tens to hundreds of millions of dollars. -
CPU) the CPU Is the Brains of the Computer, and Is Also Known As the Processor (A Single Chip Also Known As Microprocessor)
Central processing unit (CPU) The CPU is the brains of the computer, and is also known as the processor (a single chip also known as microprocessor). This electronic component interprets and carries out the basic instructions that operate the computer. Cache as a rule holds data waiting to be processed and instructions waiting to be executed. The main parts of the CPU are: control unit arithmetic logic unit (ALU), and registers – also referred as Cache registers The CPU is connected to a circuit board called the motherboard also known as the system board. Click here to see more information on the CPU Let’s look inside the CPU and see what the different components actually do and how they interact Control unit The control unit directs and co-ordinates most of the operations in the computer. It is a bit similar to a traffic officer controlling traffic! It translates instructions received from a program/application and then begins the appropriate action to carry out the instruction. Specifically the control unit: controls how and when input devices send data stores and retrieves data to and from specific locations in memory decodes and executes instructions sends data to other parts of the CPU during operations sends data to output devices on request Arithmetic Logic Unit (ALU): The ALU is the computer’s calculator. It handles all math operations such as: add subtract multiply divide logical decisions - true or false, and/or, greater then, equal to, or less than Registers Registers are special temporary storage areas on the CPU. They are: used to store items during arithmetic, logic or transfer operations. -
Thread Scheduling in Multi-Core Operating Systems Redha Gouicem
Thread Scheduling in Multi-core Operating Systems Redha Gouicem To cite this version: Redha Gouicem. Thread Scheduling in Multi-core Operating Systems. Computer Science [cs]. Sor- bonne Université, 2020. English. tel-02977242 HAL Id: tel-02977242 https://hal.archives-ouvertes.fr/tel-02977242 Submitted on 24 Oct 2020 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. Ph.D thesis in Computer Science Thread Scheduling in Multi-core Operating Systems How to Understand, Improve and Fix your Scheduler Redha GOUICEM Sorbonne Université Laboratoire d’Informatique de Paris 6 Inria Whisper Team PH.D.DEFENSE: 23 October 2020, Paris, France JURYMEMBERS: Mr. Pascal Felber, Full Professor, Université de Neuchâtel Reviewer Mr. Vivien Quéma, Full Professor, Grenoble INP (ENSIMAG) Reviewer Mr. Rachid Guerraoui, Full Professor, École Polytechnique Fédérale de Lausanne Examiner Ms. Karine Heydemann, Associate Professor, Sorbonne Université Examiner Mr. Etienne Rivière, Full Professor, University of Louvain Examiner Mr. Gilles Muller, Senior Research Scientist, Inria Advisor Mr. Julien Sopena, Associate Professor, Sorbonne Université Advisor ABSTRACT In this thesis, we address the problem of schedulers for multi-core architectures from several perspectives: design (simplicity and correct- ness), performance improvement and the development of application- specific schedulers. -
Reverse Engineering X86 Processor Microcode
Reverse Engineering x86 Processor Microcode Philipp Koppe, Benjamin Kollenda, Marc Fyrbiak, Christian Kison, Robert Gawlik, Christof Paar, and Thorsten Holz, Ruhr-University Bochum https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/koppe This paper is included in the Proceedings of the 26th USENIX Security Symposium August 16–18, 2017 • Vancouver, BC, Canada ISBN 978-1-931971-40-9 Open access to the Proceedings of the 26th USENIX Security Symposium is sponsored by USENIX Reverse Engineering x86 Processor Microcode Philipp Koppe, Benjamin Kollenda, Marc Fyrbiak, Christian Kison, Robert Gawlik, Christof Paar, and Thorsten Holz Ruhr-Universitat¨ Bochum Abstract hardware modifications [48]. Dedicated hardware units to counter bugs are imperfect [36, 49] and involve non- Microcode is an abstraction layer on top of the phys- negligible hardware costs [8]. The infamous Pentium fdiv ical components of a CPU and present in most general- bug [62] illustrated a clear economic need for field up- purpose CPUs today. In addition to facilitate complex and dates after deployment in order to turn off defective parts vast instruction sets, it also provides an update mechanism and patch erroneous behavior. Note that the implementa- that allows CPUs to be patched in-place without requiring tion of a modern processor involves millions of lines of any special hardware. While it is well-known that CPUs HDL code [55] and verification of functional correctness are regularly updated with this mechanism, very little is for such processors is still an unsolved problem [4, 29]. known about its inner workings given that microcode and the update mechanism are proprietary and have not been Since the 1970s, x86 processor manufacturers have throughly analyzed yet.