ECE 250 / CPS 250 Computer Architecture Processor Design
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Efficient Checker Processor Design
Efficient Checker Processor Design Saugata Chatterjee, Chris Weaver, and Todd Austin Electrical Engineering and Computer Science Department University of Michigan {saugatac,chriswea,austin}@eecs.umich.edu Abstract system works to increase test space coverage by proving a design is correct, either through model equivalence or assertion. The approach is significantly more efficient The design and implementation of a modern micro- than simulation-based testing as a single proof can ver- processor creates many reliability challenges. Design- ify correctness over large portions of a design’s state ers must verify the correctness of large complex systems space. However, complex modern pipelines with impre- and construct implementations that work reliably in var- cise state management, out-of-order execution, and ied (and occasionally adverse) operating conditions. In aggressive speculation are too stateful or incomprehen- our previous work, we proposed a solution to these sible to permit complete formal verification. problems by adding a simple, easily verifiable checker To further complicate verification, new reliability processor at pipeline retirement. Performance analyses challenges are materializing in deep submicron fabrica- of our initial design were promising, overall slowdowns tion technologies (i.e. process technologies with mini- due to checker processor hazards were less than 3%. mum feature sizes below 0.25um). Finer feature sizes However, slowdowns for some outlier programs were are generally characterized by increased complexity, larger. more exposure to noise-related faults, and interference In this paper, we examine closely the operation of the from single event radiation (SER). It appears the current checker processor. We identify the specific reasons why advances in verification (e.g., formal verification, the initial design works well for some programs, but model-based test generation) are not keeping pace with slows others. -
Computer Organization and Architecture Designing for Performance Ninth Edition
COMPUTER ORGANIZATION AND ARCHITECTURE DESIGNING FOR PERFORMANCE NINTH EDITION William Stallings Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montréal Toronto Delhi Mexico City São Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo Editorial Director: Marcia Horton Designer: Bruce Kenselaar Executive Editor: Tracy Dunkelberger Manager, Visual Research: Karen Sanatar Associate Editor: Carole Snyder Manager, Rights and Permissions: Mike Joyce Director of Marketing: Patrice Jones Text Permission Coordinator: Jen Roach Marketing Manager: Yez Alayan Cover Art: Charles Bowman/Robert Harding Marketing Coordinator: Kathryn Ferranti Lead Media Project Manager: Daniel Sandin Marketing Assistant: Emma Snider Full-Service Project Management: Shiny Rajesh/ Director of Production: Vince O’Brien Integra Software Services Pvt. Ltd. Managing Editor: Jeff Holcomb Composition: Integra Software Services Pvt. Ltd. Production Project Manager: Kayla Smith-Tarbox Printer/Binder: Edward Brothers Production Editor: Pat Brown Cover Printer: Lehigh-Phoenix Color/Hagerstown Manufacturing Buyer: Pat Brown Text Font: Times Ten-Roman Creative Director: Jayne Conte Credits: Figure 2.14: reprinted with permission from The Computer Language Company, Inc. Figure 17.10: Buyya, Rajkumar, High-Performance Cluster Computing: Architectures and Systems, Vol I, 1st edition, ©1999. Reprinted and Electronically reproduced by permission of Pearson Education, Inc. Upper Saddle River, New Jersey, Figure 17.11: Reprinted with permission from Ethernet Alliance. Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook appear on the appropriate page within text. Copyright © 2013, 2010, 2006 by Pearson Education, Inc., publishing as Prentice Hall. All rights reserved. Manufactured in the United States of America. -
Go Forth with TTL !
Go Forth with TTL ! The Gigatron TTL Color Computer Forth for a Very Unusual Processor Ken Boak SV Fig. Forth Day 2019 . In September of 1975, MOS Technology launched the 6502 at the Wescon75 Computer Conference in San Francisco. Chuck Peddle and his team had created a very lean, stripped down, small die cpu. Costing just $25, the 6502 was a fraction of the cost of its nearest competitor. At that time the Intel 8080 was $360 and the Motorola 6800 was $175 . The 6502 was clearly a disruptive usurper. 25 year old, HP Engineer, Steve Wozniak, realised that this new microprocessor would be a game-changer and went on to incorporate it into the small computer he was developing. That machine went on to become the Apple I. In 1975 7400 TTL was the “Bread and Butter” of logic design: 7400 series TTL integrated circuits were developed in the early 1960’s. Initially quite expensive so mainly used in Military and Aerospace applications. By the early 1970’s TTL had become a versatile family of standardised, low cost,. easy to use logic. Typically about $1 per device. 7400 series logic was widely used in the design of minicomputers, including the PDP-11, the Data General Nova 1200 and later models of PDP-8. TTL was a viable, faster and cheaper processing solution than the emerging 8-bit microprocessors such as MOS 6502, Intel 8080 and the Motorola 6800. Essential Reading 16-bit TTL CPU board from Data General Nova 1200 The Gigatron TTL Computer – What is it? Started as a Hackaday.io project in Spring 2017 by Marcel van Kervinck of The Hague, Netherlands. -
Three-Dimensional Integrated Circuit Design: EDA, Design And
Integrated Circuits and Systems Series Editor Anantha Chandrakasan, Massachusetts Institute of Technology Cambridge, Massachusetts For other titles published in this series, go to http://www.springer.com/series/7236 Yuan Xie · Jason Cong · Sachin Sapatnekar Editors Three-Dimensional Integrated Circuit Design EDA, Design and Microarchitectures 123 Editors Yuan Xie Jason Cong Department of Computer Science and Department of Computer Science Engineering University of California, Los Angeles Pennsylvania State University [email protected] [email protected] Sachin Sapatnekar Department of Electrical and Computer Engineering University of Minnesota [email protected] ISBN 978-1-4419-0783-7 e-ISBN 978-1-4419-0784-4 DOI 10.1007/978-1-4419-0784-4 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009939282 © Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Foreword We live in a time of great change. -
Exploring Software Inefficiency With
ZeroSpy: Exploring Software Inefficiency with Redundant Zeros Xin You∗, Hailong Yang∗y, Zhongzhi Luan∗, Depei Qian∗ and Xu Liuz Beihang University, China∗, North Carolina State University, USAz State Key Laboratory of Mathematical Engineering and Advanced Computing, Wuxi, Chinay fyouxin2015,hailong.yang,07680,[email protected]∗, [email protected] Abstract—Redundant zeros cause inefficiencies in which the 1 for(int i=0;i<1000;++i) { 2 A[i] = 0; B[i] = i; zero values are loaded and computed repeatedly, resulting in 3 } 4 ... unnecessary memory traffic and identity computation that waste 5 for(int i=0;i<1000;++i) memory bandwidth and CPU resources. Optimizing compilers 6 I C[i] = A[i]-B[i]; is difficult in eliminating these zero-related inefficiencies due to Listing 1. An example code working on redundant zeros, where all variables are 32-bit integers. limitations in static analysis. Hardware approaches, in contrast, optimize inefficiencies without code modification, but are not enough to fulfill the computation, which yields better cache widely adopted in commodity processors. In this paper, we 1 propose ZeroSpy - a fine-grained profiler to identify redundant usage and vectorization potentials . zeros caused by both inappropriate use of data structures and Actually, a larger number of real-world applications (e.g., useless computation. ZeroSpy also provides intuitive optimization deep neural network and high-efficiency video coding) have guidance by revealing the locations where the redundant zeros already been reported to contain a significant amount of happen in source lines and calling contexts. The experimental redundant zeros and achieved significant speedup from the results demonstrate ZeroSpy is capable of identifying redundant zeros in programs that have been highly optimized for years. -
Introduction to the Intel® Nios® II Soft Processor
Introduction to the Intel® Nios® II Soft Processor For Quartus® Prime 18.1 1 Introduction This tutorial presents an introduction the Intel® Nios® II processor, which is a soft processor that can be instantiated on an Intel FPGA device. It describes the basic architecture of Nios II and its instruction set. The Nios II processor and its associated memory and peripheral components are easily instantiated by using Intel’s SOPC Builder or Platform Designer tool in conjunction with the Quartus® Prime software. A full description of the Nios II processor is provided in the Nios II Processor Reference Handbook, which is available in the literature section of the Intel web site. Introductions to the SOPC Builder and Platform Designer tools are given in the tutorials Introduction to the Intel SOPC Builder and Introduction to the Intel Platform Designer Tool, respectively. Both can be found in the University Program section of the web site. Contents: • Nios II System • Overview of Nios II Processor Features • Register Structure • Accessing Memory and I/O Devices • Addressing • Instruction Set • Assembler Directives • Example Program • Exception Processing • Cache Memory • Tightly Coupled Memory Intel Corporation - FPGA University Program 1 March 2019 ® ® INTRODUCTION TO THE INTEL NIOS II SOFT PROCESSOR For Quartus® Prime 18.1 2 Background Intel’s Nios II is a soft processor, defined in a hardware description language, which can be implemented in Intel’s FPGA devices by using the Quartus Prime CAD system. This tutorial provides a basic introduction to the Nios II processor, intended for a user who wishes to implement a Nios II based system on an Intel Development and Education board. -
Computer Organization & Architecture Eie
COMPUTER ORGANIZATION & ARCHITECTURE EIE 411 Course Lecturer: Engr Banji Adedayo. Reg COREN. The characteristics of different computers vary considerably from category to category. Computers for data processing activities have different features than those with scientific features. Even computers configured within the same application area have variations in design. Computer architecture is the science of integrating those components to achieve a level of functionality and performance. It is logical organization or designs of the hardware that make up the computer system. The internal organization of a digital system is defined by the sequence of micro operations it performs on the data stored in its registers. The internal structure of a MICRO-PROCESSOR is called its architecture and includes the number lay out and functionality of registers, memory cell, decoders, controllers and clocks. HISTORY OF COMPUTER HARDWARE The first use of the word ‘Computer’ was recorded in 1613, referring to a person who carried out calculation or computation. A brief History: Computer as we all know 2day had its beginning with 19th century English Mathematics Professor named Chales Babage. He designed the analytical engine and it was this design that the basic frame work of the computer of today are based on. 1st Generation 1937-1946 The first electronic digital computer was built by Dr John V. Atanasoff & Berry Cliford (ABC). In 1943 an electronic computer named colossus was built for military. 1946 – The first general purpose digital computer- the Electronic Numerical Integrator and computer (ENIAC) was built. This computer weighed 30 tons and had 18,000 vacuum tubes which were used for processing. -
Understanding Performance Numbers in Integrated Circuit Design Oprecomp Summer School 2019, Perugia Italy 5 September 2019
Understanding performance numbers in Integrated Circuit Design Oprecomp summer school 2019, Perugia Italy 5 September 2019 Frank K. G¨urkaynak [email protected] Integrated Systems Laboratory Introduction Cost Design Flow Area Speed Area/Speed Trade-offs Power Conclusions 2/74 Who Am I? Born in Istanbul, Turkey Studied and worked at: Istanbul Technical University, Istanbul, Turkey EPFL, Lausanne, Switzerland Worcester Polytechnic Institute, Worcester MA, USA Since 2008: Integrated Systems Laboratory, ETH Zurich Director, Microelectronics Design Center Senior Scientist, group of Prof. Luca Benini Interests: Digital Integrated Circuits Cryptographic Hardware Design Design Flows for Digital Design Processor Design Open Source Hardware Integrated Systems Laboratory Introduction Cost Design Flow Area Speed Area/Speed Trade-offs Power Conclusions 3/74 What Will We Discuss Today? Introduction Cost Structure of Integrated Circuits (ICs) Measuring performance of ICs Why is it difficult? EDA tools should give us a number Area How do people report area? Is that fair? Speed How fast does my circuit actually work? Power These days much more important, but also much harder to get right Integrated Systems Laboratory The performance establishes the solution space Finally the cost sets a limit to what is possible Introduction Cost Design Flow Area Speed Area/Speed Trade-offs Power Conclusions 4/74 System Design Requirements System Requirements Functionality Functionality determines what the system will do Integrated Systems Laboratory Finally the cost sets a limit -
A Modular Soft Processor Core in VHDL
A Modular Soft Processor Core in VHDL Jack Whitham 2002-2003 This is a Third Year project submitted for the degree of MEng in the Department of Computer Science at the University of York. The project will attempt to demonstrate that a modular soft processor core can be designed and implemented on an FPGA, and that the core can be optimised to run a particular embedded application using a minimal amount of FPGA space. The word count of this project (as counted by the Unix wc command after detex was run on the LaTeX source) is 33647 words. This includes all text in the main report and Appendices A, B and C. Excluding source code, the project is 70 pages in length. i Contents I. Introduction 1 1. Background and Literature 1 1.1. Soft Processor Cores . 1 1.2. A Field Programmable Gate Array . 1 1.3. VHSIC Hardware Definition Language (VHDL) . 2 1.4. The Motorola 68020 . 2 II. High-level Project Decisions 3 2. Should the design be based on an existing one? 3 3. Which processor should the soft core be based upon? 3 4. Which processor should be chosen? 3 5. Restating the aims of the project in terms of the chosen processor 4 III. Modular Processor Design Decisions 4 6. Processor Design 4 6.1. Alternatives to a complete processor implementation . 4 6.2. A real processor . 5 6.3. Instruction Decoder and Control Logic . 5 6.4. Arithmetic and Logic Unit (ALU) . 7 6.5. Register File . 7 6.6. Links between Components . -
6502 Introduction
6502 Introduction Philipp Koehn 18 September 2019 Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 1 some history Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 1971 2 • First microprocessor on an integrated circuit: Intel 4004 • 4-bit central processing unit, 12 bit address space (4KB) Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 1975 3 • MOS Technology 6502 • Dominant CPU in home computers for a decade (Atari, Apple II, Nintendo Entertainment System, Commodore PET) Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 1977 4 • Atari 2600 • Video game console: Pong, Pac Man, ... connected to TV Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 1980 5 • Commodore VIC20 • 1 MHz, 5KB RAM, BASIC, 3.5KB RAM, 176x184 3 bit color video Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 1982 6 • Commodore C64 • 64KB RAM, 320x200 4 bit color video Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 Commodore C64 7 • BASIC programming language, but serious programs written in assembly • No fancy stuff like multi-process, user accounts, virtual memory, etc. • Machine itself had no mass storage - had to buy tape drive, then floppy disk drive, machine was obsolete once hard drives came around Philipp Koehn Computer Systems Fundamentals: 6502 Introduction 18 September 2019 BASIC Demo 8 • Commands get executed (just like Python interpreter) -
Assignment Solutions
Week 1: Assignment Solutions 1. Which of the following statements are true? a. The ENIAC computer was built using mechanical relays. b. Harvard Mark1 computer was built using mechanical relays. c. PASCALINE computer could multiply and divide numbers by repeated addition and subtraction. d. Charles Babbage built his automatic computing engine in 19th century. Solution: ((b) and (c)) ENIAC was built using vacuum tubes. Charles Babbage designed his automatic computing engine but could not built it. 2. Which of the following statements are true for Moore’s law? a. Moore’s law predicts that power dissipation will double every 18 months. b. Moore’s law predicts that the number of transistors per chip will double every 18 months. c. Moore’s law predicts that the speed of VLSI circuits will double every 18 months. d. None of the above. Solution: (b) Moore’s law only predicts that number of transistors per chip will double every 18 months. 3. Which of the following generates the necessary signals required to execute an instruction in a computer? a. Arithmetic and Logic Unit b. Memory Unit c. Control Unit d. Input/Output Unit Solution: (c) Control unit acts as the nerve center of a computer and generates the necessary control signals required to execute an instruction. 4. An instruction ADD R1, A is stored at memory location 4004H. R1 is a processor register and A is a memory location with address 400CH. Each instruction is 32-bit long. What will be the values of PC, IR and MAR during execution of the instruction? a. -
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Preface Like many American kids in 1979, I woke up to find that Santa had left a brand new Atari VCS1 under the tree (thanks, Mom and Dad, for paying Santa’s invoice!). This was a pretty big deal for a six- year-old who could tell you the location and manufacturer of every standup arcade cabinet within a five mile radius. Having an “arcade in your home” wasn’t just a thing you saw on Silver Spoons, it was now a real thing. The sights and sounds that jumped o↵ of our little Panasonic color TV probably deserve a gigantic run-on sentence worthy of Dylan Thomas, as my brother and I bounced tiny pixellated missiles o↵ of walls in Combat, combed through the perplexing game modes of Space Invaders, battled angry duck-like dragons in Adventure, and became Superman as we put flickering bad guys in a flickering jail. These cartridges were opaque obelisks packaged in boxes with fantastically unattainable illustrations, available at K-Mart for $30 or so. You could tell these species of video games weren’t related to arcade games, though they had a unique look-and-feel of their own. We also had an Apple ][ by this time, so I tried to fit all of these creatures into a digital taxonomy. Atari games had colors and fast motion, but not as much as arcade games, and they never were as complex as Apple ][ games. What made them tick? Why were Activision games so much more detailed? Would the missile still blow up your spaceship if you turned the TV o↵? (Turns out the answer is yes.) 1 It wasn’t sold as “Atari 2600” until 1982.