EN105 : Computer architecture. Course overview J. CRENNE 2015/2016
|
|
- Silvester Morrison
- 5 years ago
- Views:
Transcription
1 EN105 : Computer architecture Course overview J. CRENNE 2015/2016
2 Schedule Cours Cours Cours Cours Cours Cours Cours Cours Cours Cours 2
3 CM 1 - Warmup CM 2 - Computer architecture CM 3 - CISC2RISC CM 4 - Pipelining 1 CM 5 - Pipelining 2 CM 6 - Memory systems basics CM 7 - Cache microarchitecture CM 8 - Network topology CM 9 - VLIW processors CM 10 - Vector and MT processors 3
4 What is computer architecture?
5 The computer system stack Application Gap too large to bridge in one step (but there are exceptions, e.g., a magnetic compass) Technology In its broadest definition, computer engineering is the development of the abstraction/implementation layers that allow us to execute information processing applications efficiently using available manufacturing technologies 5
6 The computer system stack 6
7 The computer system stack Technology 6
8 The computer system stack Devices Technology 6
9 The computer system stack Circuits Devices Technology 6
10 The computer system stack Gate level Circuits Devices Technology 6
11 The computer system stack Register-transfer level Gate level Circuits Devices Technology 6
12 The computer system stack Microarchitecture Register-transfer level Gate level Circuits Devices Technology 6
13 The computer system stack Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology 6
14 The computer system stack Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology 6
15 The computer system stack Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology 6
16 The computer system stack Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology 6
17 The computer system stack Application Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology 6
18 Computer architecture The computer system stack Application Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology Sort an array of numbers 2, 6, 3, 8, 4, 5 -> 2, 3, 4, 5, 6, 8 Insertion sort algorithm 1. Find minimum number in input array Algorithm 2. Move minimum number into output array 3. Repeat steps 1 and 2 until finished Programming language C implementation of insertion sort void isort( int b[], int a[], int n ) { for ( int idx, k = 0; k < n; k++ ) { int min = 100; for ( int i = 0; i < n; i++ ) { if ( a[i] < min ) { min = a[i]; idx = i; } b[k] = min; a[idx] = 100; } } 7
19 The computer system stack MIPS32 instruction set Instructions that machine executes blez move li move move li lw addiu slt movn addiu movn $a2, $a7, $t4, $a4, $v1, $a3, $a5, $a4, $a6, $v0, $v1, $a3, done $zero 99 $a1 $zero 99 0($a4) $a4, 4 $a5, $a3 $v1, $a6, $v1, 1 $a3, $a5, $a6 Application Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology Mac OS X, Windows, Linux Handles low-level hardware management 8
20 The computer system stack Application Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology 9 How data flows through system Boolean logic gates and functions Combining devices to do useful work Transistors and wires Silicon process technology
21 Application requirements vs. technology constraints Application Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology Application requirements Suggest how to improve architecture Provide revenue to fund development Computer architects provide feedback to guide application and technology research directions Technology constraints Restrict what can be done efficiently New technologies make new arch possible 10
22 Logic, state and interconnect Digital systems are implemented with three basic building blocks Logic to process data State to store data Interconnect to move data Application Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology Logic State Logic State Logic State Logic State Logic State 11
23 Processors, memories, and networks Application Algorithm Computer architecture basic building blocks Processors for computation Memories for storage Networks for communication Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Input data Processor Network Memory Output data Compute data Move data Store data Technology 12
24 Computer architecture artifacts 13
25 Trends in computer architecture
26 Application requirements vs. technology constraints Application Algorithm Programming language Operating system Instruction set architecture Microarchitecture Register-transfer level Gate level Circuits Devices Technology Traditional application requirements As much processor compute as possible As much memory capacity as possible As much network bandwidth as possible Traditional technology constraints Exponential scaling of resources 15
27 Exponential scaling for processor computation 16
28 Exponential scaling for memory capacity 17
29 Exponential scaling for network bandwidth 18
30 Key trends in the application requirements and technology constraints over the past decade have resulted in a radical rethinking of the processors, memories, and networks used in modern computing systems Three key trends in computer engineering 1. Growing diversity in application requirements motivate growing diversity in computing systems 2. Energy and power constraints motivate transition to multiple processors integrated onto a single chip 3. Technology scaling challenges motivate new emerging processor, memory, and net work device technologies 19
31 Trend 1: Bell s law Roughly every decade a new, lower priced computer class forms based on a new programming platform resulting in new usage and industries 20
32 Trend 1: Growing diversity in apps & systems 21
33 Trend 2: Energy/power constraints all modern systems Power Energy = = Second Energy Ops x Ops Second Power Chip packaging Chip cooling System noise Case temperature Data-center air conditioning Energy Battery life Electricity bill Mobile device weight 22
34 Trend 2: Power constraints single-processor scaling 23
35 Trend 2: Transition to multicore processors Intel Pentium 4 Single monolithic processor (2000) P N M 24
36 Trend 2: Transition to multicore processors AMD Quad-core Opteron Four cores on the same die (2003) P P P P N M M M M 25
37 Trend 2: Transition to multicore processors Cray XT3 supercomputer 1024 single-core processors (2004) P P P N M M M 26
38 Trend 2: Transition to multicore processors IBM Blue Gene Q supercomputer Thousands of 18-core processors (2011) P P P P N M M M M 27
39 Trend 2: Energy and performance of multicores 28
40 Trend 2: Multicore performance scaling 29
41 Trend 3: Emerging device technologies 30
42 Computer architecture design
43 What do computer architects actually do? General Science Discover truths about nature Ask question about nature Construct hypothesis Test with experiment Analyze results and draw conclusions Computer engineering Explore design space for a given system Design and build initial system Ask question about system Modify systems or build/design alternatives Test with experiment to compare alternatives Analyze results and draw conclusions 32
44 What do computer architects actually do? Computer engineering Explore design space for a given system Design and build initial system Ask question about system Modify systems or build/design alternatives Test with experiment to compare alternatives Analyze results and draw conclusions Fighter airplane: ~100, 000 parts Intel Sandy Bridge E: 2.27 Billion transistors 33
45 Design principles Abstraction - Levels of modeling Modularity - Separate design into components w/ well-defined interfaces Hierarchy - Recursively apply modularity principle Encapsulation - Hide implementation details from interfaces Regularity - Leverage structure Extensibility - Include mechanisms/hooks for future changes Design pattern Processors, memories, networks Control/datapath split Single-cycle, FSM, pipelines control Raw port, message, method interfaces Design methodologies Test-driven development Incremental development Automated development 34
46 Take-away points Computer architecture is the process of building computing systems to meet given application requirements within physical technology constraints We are entering an exciting new era of computer architecture with growing diversity in applications and systems, a remarkable industrial shift towards mainstream parallel processing, and significant technology scaling challenges This era offers tremendous challenges and opportunities, which makes it a wonderful time to study and contribute to the field of computer architecture 35
47 Thanks!
ECE 3400 Guest Lecture Design Principles and Methodologies in Computer Architecture
ECE 3400 Guest Lecture Design Principles and Methodologies in Computer Architecture Christopher Batten Computer Systems Laboratory School of Electrical and Computer Engineering Cornell University What
More informationECE 2400 / ENGRD 2140 Computer Systems Programming Course Overview
ECE 2400 / ENGRD 2140 Computer Systems Programming Course Overview Christopher Batten School of Electrical and Computer Engineering Cornell University http://www.csl.cornell.edu/courses/ece2400 What is
More informationECE 486/586. Computer Architecture. Lecture # 2
ECE 486/586 Computer Architecture Lecture # 2 Spring 2015 Portland State University Recap of Last Lecture Old view of computer architecture: Instruction Set Architecture (ISA) design Real computer architecture:
More informationFundamentals of Quantitative Design and Analysis
Fundamentals of Quantitative Design and Analysis Dr. Jiang Li Adapted from the slides provided by the authors Computer Technology Performance improvements: Improvements in semiconductor technology Feature
More informationLecture 1: Introduction
Contemporary Computer Architecture Instruction set architecture Lecture 1: Introduction CprE 581 Computer Systems Architecture, Fall 2016 Reading: Textbook, Ch. 1.1-1.7 Microarchitecture; examples: Pipeline
More informationComputer Architecture!
Informatics 3 Computer Architecture! Dr. Vijay Nagarajan and Prof. Nigel Topham! Institute for Computing Systems Architecture, School of Informatics! University of Edinburgh! General Information! Instructors
More informationComputer Architecture
Lecture 1: Introduction Iakovos Mavroidis Computer Science Department University of Crete 1 Outline Logistics CPU Evolution (what is?) 2 Course Administration Instructors Iakovos Mavroidis (jacob@ics.forth.gr)
More informationFundamentals of Computer Design
CS359: Computer Architecture Fundamentals of Computer Design Yanyan Shen Department of Computer Science and Engineering 1 Defining Computer Architecture Agenda Introduction Classes of Computers 1.3 Defining
More informationComputer Architecture
Informatics 3 Computer Architecture Dr. Vijay Nagarajan Institute for Computing Systems Architecture, School of Informatics University of Edinburgh (thanks to Prof. Nigel Topham) General Information Instructor
More informationParallelism and Concurrency. COS 326 David Walker Princeton University
Parallelism and Concurrency COS 326 David Walker Princeton University Parallelism What is it? Today's technology trends. How can we take advantage of it? Why is it so much harder to program? Some preliminary
More informationECE 5745 Complex Digital ASIC Design Course Overview
ECE 5745 Complex Digital ASIC Design Course Overview Christopher Batten School of Electrical and Computer Engineering Cornell University http://www.csl.cornell.edu/courses/ece5745 Application Algorithm
More informationEven coarse architectural trends impact tremendously the design of systems
CSE 451: Operating Systems Winter 2015 Module 2 Architectural Support for Operating Systems Mark Zbikowski mzbik@cs.washington.edu 476 Allen Center 2013 Gribble, Lazowska, Levy, Zahorjan 1 Even coarse
More informationCSE 451: Operating Systems Winter Module 2 Architectural Support for Operating Systems
CSE 451: Operating Systems Winter 2017 Module 2 Architectural Support for Operating Systems Mark Zbikowski mzbik@cs.washington.edu 476 Allen Center 2013 Gribble, Lazowska, Levy, Zahorjan 1 Even coarse
More informationEven coarse architectural trends impact tremendously the design of systems. Even coarse architectural trends impact tremendously the design of systems
CSE 451: Operating Systems Spring 2013 Module 2 Architectural Support for Operating Systems Ed Lazowska lazowska@cs.washington.edu 570 Allen Center Even coarse architectural trends impact tremendously
More informationMicroarchitecture Overview. Performance
Microarchitecture Overview Prof. Scott Rixner Duncan Hall 3028 rixner@rice.edu January 15, 2007 Performance 4 Make operations faster Process improvements Circuit improvements Use more transistors to make
More information(ii) Why are we going to multi-core chips to find performance? Because we have to.
CSE 30321 Computer Architecture I Fall 2009 Lab 06 Introduction to Multi-core Processors and Parallel Programming Assigned: November 3, 2009 Due: November 17, 2009 1. Introduction: This lab will introduce
More informationIMPROVING ENERGY EFFICIENCY THROUGH PARALLELIZATION AND VECTORIZATION ON INTEL R CORE TM
IMPROVING ENERGY EFFICIENCY THROUGH PARALLELIZATION AND VECTORIZATION ON INTEL R CORE TM I5 AND I7 PROCESSORS Juan M. Cebrián 1 Lasse Natvig 1 Jan Christian Meyer 2 1 Depart. of Computer and Information
More informationPart 1 of 3 -Understand the hardware components of computer systems
Part 1 of 3 -Understand the hardware components of computer systems The main circuit board, the motherboard provides the base to which a number of other hardware devices are connected. Devices that connect
More information45-year CPU Evolution: 1 Law -2 Equations
4004 8086 PowerPC 601 Pentium 4 Prescott 1971 1978 1992 45-year CPU Evolution: 1 Law -2 Equations Daniel Etiemble LRI Université Paris Sud 2004 Xeon X7560 Power9 Nvidia Pascal 2010 2017 2016 Are there
More informationECE 588/688 Advanced Computer Architecture II
ECE 588/688 Advanced Computer Architecture II Instructor: Alaa Alameldeen alaa@ece.pdx.edu Fall 2009 Portland State University Copyright by Alaa Alameldeen and Haitham Akkary 2009 1 When and Where? When:
More informationCopyright 2012, Elsevier Inc. All rights reserved.
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 1 Fundamentals of Quantitative Design and Analysis 1 Computer Technology Performance improvements: Improvements in semiconductor technology
More informationComputer Architecture
Informatics 3 Computer Architecture Dr. Boris Grot and Dr. Vijay Nagarajan Institute for Computing Systems Architecture, School of Informatics University of Edinburgh General Information Instructors: Boris
More informationEven coarse architectural trends impact tremendously the design of systems
CSE 451: Operating Systems Spring 2006 Module 2 Architectural Support for Operating Systems John Zahorjan zahorjan@cs.washington.edu 534 Allen Center Even coarse architectural trends impact tremendously
More informationCSE : Introduction to Computer Architecture
Computer Architecture 9/21/2005 CSE 675.02: Introduction to Computer Architecture Instructor: Roger Crawfis (based on slides from Gojko Babic A modern meaning of the term computer architecture covers three
More informationModule 18: "TLP on Chip: HT/SMT and CMP" Lecture 39: "Simultaneous Multithreading and Chip-multiprocessing" TLP on Chip: HT/SMT and CMP SMT
TLP on Chip: HT/SMT and CMP SMT Multi-threading Problems of SMT CMP Why CMP? Moore s law Power consumption? Clustered arch. ABCs of CMP Shared cache design Hierarchical MP file:///e /parallel_com_arch/lecture39/39_1.htm[6/13/2012
More informationMicroarchitecture Overview. Performance
Microarchitecture Overview Prof. Scott Rixner Duncan Hall 3028 rixner@rice.edu January 18, 2005 Performance 4 Make operations faster Process improvements Circuit improvements Use more transistors to make
More informationComputer Architecture A Quantitative Approach, Fifth Edition. Chapter 1. Copyright 2012, Elsevier Inc. All rights reserved. Computer Technology
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 1 Fundamentals of Quantitative Design and Analysis 1 Computer Technology Performance improvements: Improvements in semiconductor technology
More informationComputer Architecture!
Informatics 3 Computer Architecture! Dr. Boris Grot and Dr. Vijay Nagarajan!! Institute for Computing Systems Architecture, School of Informatics! University of Edinburgh! General Information! Instructors
More informationCO403 Advanced Microprocessors IS860 - High Performance Computing for Security. Basavaraj Talawar,
CO403 Advanced Microprocessors IS860 - High Performance Computing for Security Basavaraj Talawar, basavaraj@nitk.edu.in Course Syllabus Technology Trends: Transistor Theory. Moore's Law. Delay, Power,
More informationComputer Architecture!
Informatics 3 Computer Architecture! Dr. Boris Grot and Dr. Vijay Nagarajan!! Institute for Computing Systems Architecture, School of Informatics! University of Edinburgh! General Information! Instructors:!
More informationECE 2162 Intro & Trends. Jun Yang Fall 2009
ECE 2162 Intro & Trends Jun Yang Fall 2009 Prerequisites CoE/ECE 0142: Computer Organization; or CoE/CS 1541: Introduction to Computer Architecture I will assume you have detailed knowledge of Pipelining
More informationVLSI Design Automation
VLSI Design Automation IC Products Processors CPU, DSP, Controllers Memory chips RAM, ROM, EEPROM Analog Mobile communication, audio/video processing Programmable PLA, FPGA Embedded systems Used in cars,
More informationUnderstanding Dual-processors, Hyper-Threading Technology, and Multicore Systems
Understanding Dual-processors, Hyper-Threading Technology, and Multicore Systems This paper will provide you with a basic understanding of the differences among several computer system architectures dual-processor
More informationHPC Technology Trends
HPC Technology Trends High Performance Embedded Computing Conference September 18, 2007 David S Scott, Ph.D. Petascale Product Line Architect Digital Enterprise Group Risk Factors Today s s presentations
More informationMobile Processors. Jose R. Ortiz Ubarri
Mobile Processors Jose R. Ortiz Ubarri Electrical and Computer Engineering Department University of Puerto Rico, Mayagüez Campus Mayagüez, Puerto Rico 00681 5000 Jose.Ortiz@hpcf.upr.edu Introduction While
More informationVLSI Design Automation. Calcolatori Elettronici Ing. Informatica
VLSI Design Automation 1 Outline Technology trends VLSI Design flow (an overview) 2 IC Products Processors CPU, DSP, Controllers Memory chips RAM, ROM, EEPROM Analog Mobile communication, audio/video processing
More informationMajor Information Session ECE: Computer Engineering
Major Information Session ECE: Computer Engineering Prof. Christopher Batten School of Electrical and Computer Engineering Cornell University http://www.csl.cornell.edu/~cbatten What is Computer Engineering?
More informationHyperthreading Technology
Hyperthreading Technology Aleksandar Milenkovic Electrical and Computer Engineering Department University of Alabama in Huntsville milenka@ece.uah.edu www.ece.uah.edu/~milenka/ Outline What is hyperthreading?
More informationComputer Architecture = CS/ECE 552: Introduction to Computer Architecture. 552 In Context. Why Study Computer Architecture?
CS/ECE 552: Introduction to Computer Architecture Instructor: Mark D. Hill T.A.: Brandon Schwartz Section 2 Fall 2000 University of Wisconsin-Madison Lecture notes originally created by Mark D. Hill Updated
More informationArchitecture and OS. To do. q Architecture impact on OS q OS impact on architecture q Next time: OS components and structure
Architecture and OS To do q Architecture impact on OS q OS impact on architecture q Next time: OS components and structure Computer architecture and OS OS is intimately tied to the hardware it runs on
More informationECE 8823: GPU Architectures. Objectives
ECE 8823: GPU Architectures Introduction 1 Objectives Distinguishing features of GPUs vs. CPUs Major drivers in the evolution of general purpose GPUs (GPGPUs) 2 1 Chapter 1 Chapter 2: 2.2, 2.3 Reading
More informationEECS4201 Computer Architecture
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 1 Fundamentals of Quantitative Design and Analysis These slides are based on the slides provided by the publisher. The slides will be
More informationCSE 502 Graduate Computer Architecture
Computer Architecture A Quantitative Approach, Fifth Edition CAQA5 Chapter 1 CSE 502 Graduate Computer Architecture Lec 1-3 - Introduction Fundamentals of Quantitative Design and Analysis Larry Wittie
More informationMicroelectronics. Moore s Law. Initially, only a few gates or memory cells could be reliably manufactured and packaged together.
Microelectronics Initially, only a few gates or memory cells could be reliably manufactured and packaged together. These early integrated circuits are referred to as small-scale integration (SSI). As time
More informationSupercomputing with Commodity CPUs: Are Mobile SoCs Ready for HPC?
Supercomputing with Commodity CPUs: Are Mobile SoCs Ready for HPC? Nikola Rajovic, Paul M. Carpenter, Isaac Gelado, Nikola Puzovic, Alex Ramirez, Mateo Valero SC 13, November 19 th 2013, Denver, CO, USA
More informationMulti-core Architectures. Dr. Yingwu Zhu
Multi-core Architectures Dr. Yingwu Zhu Outline Parallel computing? Multi-core architectures Memory hierarchy Vs. SMT Cache coherence What is parallel computing? Using multiple processors in parallel to
More informationVLSI Design Automation. Maurizio Palesi
VLSI Design Automation 1 Outline Technology trends VLSI Design flow (an overview) 2 Outline Technology trends VLSI Design flow (an overview) 3 IC Products Processors CPU, DSP, Controllers Memory chips
More informationECE 154A. Architecture. Dmitri Strukov
ECE 154A Introduction to Computer Architecture Dmitri Strukov Lecture 1 Outline Admin What this class is about? Prerequisites ii Simple computer Performance Historical trends Economics 2 Admin Office Hours:
More informationHow What When Why CSC3501 FALL07 CSC3501 FALL07. Louisiana State University 1- Introduction - 1. Louisiana State University 1- Introduction - 2
Computer Organization and Design Dr. Arjan Durresi Louisiana State University Baton Rouge, LA 70803 durresi@csc.lsu.edu d These slides are available at: http://www.csc.lsu.edu/~durresi/csc3501_07/ Louisiana
More informationBased on the slides of Prof. David Wentzlaff
EE 660: Computer Architecture Lecture 1: Introduction and Instruction Set Architectures Yao Zheng Department of Electrical Engineering University of Hawaiʻi at Mānoa Based on the slides of Prof. David
More informationComputer Architecture Today (I)
Fundamental Concepts and ISA Computer Architecture Today (I) Today is a very exciting time to study computer architecture Industry is in a large paradigm shift (to multi-core and beyond) many different
More informationComputer Architecture
Computer Architecture Lecture 2: Fundamental Concepts and ISA Dr. Ahmed Sallam Based on original slides by Prof. Onur Mutlu What Do I Expect From You? Chance favors the prepared mind. (Louis Pasteur) كل
More informationVLSI Design Automation
VLSI Design Automation IC Products Processors CPU, DSP, Controllers Memory chips RAM, ROM, EEPROM Analog Mobile communication, audio/video processing Programmable PLA, FPGA Embedded systems Used in cars,
More informationWhy Parallel Architecture
Why Parallel Architecture and Programming? Todd C. Mowry 15-418 January 11, 2011 What is Parallel Programming? Software with multiple threads? Multiple threads for: convenience: concurrent programming
More informationNew Dimensions in Microarchitecture Harnessing 3D Integration Technologies
New Dimensions in Microarchitecture Harnessing 3D Integration Technologies Kerry Bernstein IBM T.J. Watson Research Center Yorktown Heights, NY 6 March, 27 San Jose, California DARPA Microsystems Technology
More informationMany-Core Computing Era and New Challenges. Nikos Hardavellas, EECS
Many-Core Computing Era and New Challenges Nikos Hardavellas, EECS Moore s Law Is Alive And Well 90nm 90nm transistor (Intel, 2005) Swine Flu A/H1N1 (CDC) 65nm 2007 45nm 2010 32nm 2013 22nm 2016 16nm 2019
More informationMulticore computer: Combines two or more processors (cores) on a single die. Also called a chip-multiprocessor.
CS 320 Ch. 18 Multicore Computers Multicore computer: Combines two or more processors (cores) on a single die. Also called a chip-multiprocessor. Definitions: Hyper-threading Intel's proprietary simultaneous
More informationWisconsin Computer Architecture. Nam Sung Kim
Wisconsin Computer Architecture Mark Hill Nam Sung Kim Mikko Lipasti Karu Sankaralingam Guri Sohi David Wood Technology & Moore s Law 35nm Transistor 1947 Moore s Law 1964: Integrated Circuit 1958 Transistor
More informationParallel Computing. Parallel Computing. Hwansoo Han
Parallel Computing Parallel Computing Hwansoo Han What is Parallel Computing? Software with multiple threads Parallel vs. concurrent Parallel computing executes multiple threads at the same time on multiple
More informationComputer Architecture Computer Architecture. Computer Architecture. What is Computer Architecture? Grading
178 322 Computer Architecture Lecturer: Watis Leelapatra Office: 4301D Email: watis@kku.ac.th Course Webpage: http://gear.kku.ac.th/~watis/courses/178322/178322.html Computer Architecture Grading Midterm
More informationAdaptive Scientific Software Libraries
Adaptive Scientific Software Libraries Lennart Johnsson Advanced Computing Research Laboratory Department of Computer Science University of Houston Challenges Diversity of execution environments Growing
More informationFundamentals of Computers Design
Computer Architecture J. Daniel Garcia Computer Architecture Group. Universidad Carlos III de Madrid Last update: September 8, 2014 Computer Architecture ARCOS Group. 1/45 Introduction 1 Introduction 2
More informationReal Parallel Computers
Real Parallel Computers Modular data centers Background Information Recent trends in the marketplace of high performance computing Strohmaier, Dongarra, Meuer, Simon Parallel Computing 2005 Short history
More informationIntroducing Multi-core Computing / Hyperthreading
Introducing Multi-core Computing / Hyperthreading Clock Frequency with Time 3/9/2017 2 Why multi-core/hyperthreading? Difficult to make single-core clock frequencies even higher Deeply pipelined circuits:
More informationTrends in the Infrastructure of Computing
Trends in the Infrastructure of Computing CSCE 9: Computing in the Modern World Dr. Jason D. Bakos My Questions How do computer processors work? Why do computer processors get faster over time? How much
More informationECE550 PRACTICE Midterm
ECE55 PRACTICE Midterm This is a full length practice midterm exam. If you want to take it at exam pace, give yourself 75 minutes to take the entire test. Just like the real exam, each question has a point
More informationMulti-core Architectures. Dr. Yingwu Zhu
Multi-core Architectures Dr. Yingwu Zhu What is parallel computing? Using multiple processors in parallel to solve problems more quickly than with a single processor Examples of parallel computing A cluster
More informationInstructor Information
CS 203A Advanced Computer Architecture Lecture 1 1 Instructor Information Rajiv Gupta Office: Engg.II Room 408 E-mail: gupta@cs.ucr.edu Tel: (951) 827-2558 Office Times: T, Th 1-2 pm 2 1 Course Syllabus
More informationECE/CS 552: Introduction To Computer Architecture 1
ECE/CS 552: Introduction To Instructor:Mikko H Lipasti TA: Guangyu Shi Fall 2010 University of Wisconsin-Madison Lecture notes partially based on set created by Mark Hill. Instruction Set Architecture
More informationEmbedded Systems: EmNets
Embedded Systems: EmNets April 15, 2003 Class Meeting 25 Announcement CORRECTION: Reading for today should have been Chapters 1 and 2 of Embedded Everywhere!! Reading for Thursday should have been Chapter
More informationECE 588/688 Advanced Computer Architecture II
ECE 588/688 Advanced Computer Architecture II Instructor: Alaa Alameldeen alaa@ece.pdx.edu Winter 2018 Portland State University Copyright by Alaa Alameldeen and Haitham Akkary 2018 1 When and Where? When:
More informationPower dissipation! The VLSI Interconnect Challenge. Interconnect is the crux of the problem. Interconnect is the crux of the problem.
The VLSI Interconnect Challenge Avinoam Kolodny Electrical Engineering Department Technion Israel Institute of Technology VLSI Challenges System complexity Performance Tolerance to digital noise and faults
More informationProblem 2 If the cost of a 12 inch wafer (actually 300mm) is $3500, what is the cost/die for the circuit in Problem 1.
EE 330 Homework 1 Fall 2016 Due Friday Aug 26 Problem 1 Assume a simple circuit requires 1,000 MOS transistors on a die and that all transistors are minimum sized. If the transistors are fabricated in
More informationComputer Systems. Communication (networks, radio links) Meatware (people, users don t forget them)
Computers are useful machines, but they are generally useless by themselves. Computers are usually part of a system a computer system includes: Hardware (machines) Software (programs, applications) Communication
More informationNew Intel 45nm Processors. Reinvented transistors and new products
New Intel 45nm Processors Reinvented transistors and new products November, 2007 Today s News Reinvented transistors, biggest advance in transistor design in 40 years Up to 820 million transistors on a
More informationECE/CS 757: Advanced Computer Architecture II Interconnects
ECE/CS 757: Advanced Computer Architecture II Interconnects Instructor:Mikko H Lipasti Spring 2017 University of Wisconsin-Madison Lecture notes created by Natalie Enright Jerger Lecture Outline Introduction
More informationFundamentals of Computer Design
Fundamentals of Computer Design Computer Architecture J. Daniel García Sánchez (coordinator) David Expósito Singh Francisco Javier García Blas ARCOS Group Computer Science and Engineering Department University
More informationHW Trends and Architectures
Pavel Tvrdík, Jiří Kašpar (ČVUT FIT) HW Trends and Architectures MI-POA, 2011, Lecture 1 1/29 HW Trends and Architectures prof. Ing. Pavel Tvrdík CSc. Ing. Jiří Kašpar Department of Computer Systems Faculty
More informationFuture Gigascale MCSoCs Applications: Computation & Communication Orthogonalization
Basic Network-on-Chip (BANC) interconnection for Future Gigascale MCSoCs Applications: Computation & Communication Orthogonalization Abderazek Ben Abdallah, Masahiro Sowa Graduate School of Information
More informationCS4200/5200. Lecture 1 Introduction. Dr. Xiaobo Zhou Department of Computer Science. UC. Colorado Springs. Compiler
CS4200/5200 Computer Architecture I Lecture 1 Introduction Dr. Xiaobo Zhou Department of Computer Science CS420/520 Intro.1 What is Computer Architecture? Application Compiler Instr. Set Proc. Operating
More informationEvolution of Computers & Microprocessors. Dr. Cahit Karakuş
Evolution of Computers & Microprocessors Dr. Cahit Karakuş Evolution of Computers First generation (1939-1954) - vacuum tube IBM 650, 1954 Evolution of Computers Second generation (1954-1959) - transistor
More informationEnergy Efficient Computing Systems (EECS) Magnus Jahre Coordinator, EECS
Energy Efficient Computing Systems (EECS) Magnus Jahre Coordinator, EECS Who am I? Education Master of Technology, NTNU, 2007 PhD, NTNU, 2010. Title: «Managing Shared Resources in Chip Multiprocessor Memory
More informationDigital Design Methodology (Revisited) Design Methodology: Big Picture
Digital Design Methodology (Revisited) Design Methodology Design Specification Verification Synthesis Technology Options Full Custom VLSI Standard Cell ASIC FPGA CS 150 Fall 2005 - Lec #25 Design Methodology
More informationIntroducing a Cache-Oblivious Blocking Approach for the Lattice Boltzmann Method
Introducing a Cache-Oblivious Blocking Approach for the Lattice Boltzmann Method G. Wellein, T. Zeiser, G. Hager HPC Services Regional Computing Center A. Nitsure, K. Iglberger, U. Rüde Chair for System
More informationChapter 1 Introduction. Jin-Fu Li Department of Electrical Engineering National Central University Jungli, Taiwan
Chapter 1 Introduction Jin-Fu Li Department of Electrical Engineering National Central University Jungli, Taiwan Outline Classes of Computing Applications Hierarchical Layers of Hardware and Software Contents
More informationComputer Architecture: Multi-Core Processors: Why? Onur Mutlu & Seth Copen Goldstein Carnegie Mellon University 9/11/13
Computer Architecture: Multi-Core Processors: Why? Onur Mutlu & Seth Copen Goldstein Carnegie Mellon University 9/11/13 Moore s Law Moore, Cramming more components onto integrated circuits, Electronics,
More informationENIAC - background. ENIAC - details. Structure of von Nuemann machine. von Neumann/Turing Computer Architecture
168 420 Computer Architecture Chapter 2 Computer Evolution and Performance ENIAC - background Electronic Numerical Integrator And Computer Eckert and Mauchly University of Pennsylvania Trajectory tables
More informationThis Unit: Putting It All Together. CIS 371 Computer Organization and Design. What is Computer Architecture? Sources
This Unit: Putting It All Together CIS 371 Computer Organization and Design Unit 15: Putting It All Together: Anatomy of the XBox 360 Game Console Application OS Compiler Firmware CPU I/O Memory Digital
More informationArchitecture at the end of Moore
Architecture at the end of Moore Stefanos Kaxiras Uppsala University IT Uppsala universitet Conclusions There s a power problem and it seems bad Nothing works really well (e.g., multicores) Heterogeous
More informationIntroduction. CSCI 4850/5850 High-Performance Computing Spring 2018
Introduction CSCI 4850/5850 High-Performance Computing Spring 2018 Tae-Hyuk (Ted) Ahn Department of Computer Science Program of Bioinformatics and Computational Biology Saint Louis University What is Parallel
More information1.13 Historical Perspectives and References
Case Studies and Exercises by Diana Franklin 61 Appendix H reviews VLIW hardware and software, which, in contrast, are less popular than when EPIC appeared on the scene just before the last edition. Appendix
More informationDigital Design Methodology
Digital Design Methodology Prof. Soo-Ik Chae Digital System Designs and Practices Using Verilog HDL and FPGAs @ 2008, John Wiley 1-1 Digital Design Methodology (Added) Design Methodology Design Specification
More informationIn the early days of computing, the best way to increase the speed of a computer was to use faster logic devices.
acroarchitecture vs. microarchitecture icroarchitecture is concerned with how processors and other components are put together. acroarchitecture is concerned with how processors and other components can
More informationCSE 141: Computer Architecture. Professor: Michael Taylor. UCSD Department of Computer Science & Engineering
CSE 141: Computer 0 Architecture Professor: Michael Taylor RF UCSD Department of Computer Science & Engineering Computer Architecture from 10,000 feet foo(int x) {.. } Class of application Physics Computer
More informationCISC / RISC. Complex / Reduced Instruction Set Computers
Systems Architecture CISC / RISC Complex / Reduced Instruction Set Computers CISC / RISC p. 1/12 Instruction Usage Instruction Group Average Usage 1 Data Movement 45.28% 2 Flow Control 28.73% 3 Arithmetic
More informationAn Interconnect-Centric Design Flow for Nanometer Technologies
An Interconnect-Centric Design Flow for Nanometer Technologies Jason Cong UCLA Computer Science Department Email: cong@cs.ucla.edu Tel: 310-206-2775 URL: http://cadlab.cs.ucla.edu/~cong Exponential Device
More informationComputer Architecture
188 322 Computer Architecture Lecturer: Watis Leelapatra Office: 4301D Email: watis@kku.ac.th Course Webpage http://gear.kku.ac.th/~watis/courses/188322/188322.html 188 322 Computer Architecture Grading
More informationCSE502: Computer Architecture CSE 502: Computer Architecture
CSE 502: Computer Architecture Multi-{Socket,,Thread} Getting More Performance Keep pushing IPC and/or frequenecy Design complexity (time to market) Cooling (cost) Power delivery (cost) Possible, but too
More informationTRIPS: Extending the Range of Programmable Processors
TRIPS: Extending the Range of Programmable Processors Stephen W. Keckler Doug Burger and Chuck oore Computer Architecture and Technology Laboratory Department of Computer Sciences www.cs.utexas.edu/users/cart
More informationMore Course Information
More Course Information Labs and lectures are both important Labs: cover more on hands-on design/tool/flow issues Lectures: important in terms of basic concepts and fundamentals Do well in labs Do well
More information