ECE331 Homework 4. Due Monday, August 13, 2018 (via Moodle)

Size: px
Start display at page:

Download "ECE331 Homework 4. Due Monday, August 13, 2018 (via Moodle)"

Transcription

1 ECE331 Homework 4 Due Monday, August 13, 2018 (via Moodle) 1. Below is a list of 32-bit memory address references, given as hexadecimal byte addresses. The memory accesses are all reads and they occur in the order given 0xA00, 0x864, 0x50234, 0xA00, 0xF0C, 0x50234, 0x63C, 0x128, 0x3C4, 0x34B4, 0x50234 a. For each of these references, identify the binary address, the tag, and the index given a direct-mapped cache with 16 one-word blocks. Also list if each reference is a hit or miss, assuming the cache is initially empty b. For each of these references, identify the binary address, the tag, and the index given a direct-mapped cache with 8 two-word blocks. Also list if each reference is a hit or miss, assuming the cache is initially empty c. For each of these references, identify the binary address, the tag, and the index given a two-way set-associative cache with 16 one-word blocks (Hint: there are 8 sets). Also list if each reference is a hit or miss, assuming the cache is initially empty. Use a LRU replacement strategy. d. Calculate the total number of bits required for the cache listed in (c). Include tag storage, dirty bit storage, valid bit storage, and the data storage

2 2. Given the following assumptions, fill out the table of data cache content on the next two pages based on memory access sequence shown in the following table. Cache is initially empty The data cache is a direct mapped cache The width of memory address is 8-bit and it is a byte address The cache block size is 4 bytes Write through strategy is used in this cache Memory Accesses # Access Size Access Type Byte Address in Binary 1 Byte Read Byte Read Byte Read Word Write Byte Read Word Write Word Read Byte Read Byte Read Byte Read

3 Data Cache Content Note: a.) For locations never accessed, leave the corresponding tag and data boxes blank. b.) Indicate the valid bit for each cache block. Use V for valid and I for invalid. c.) The block data should be given in the format of M [block address]. d.) Mark each access in order for up to 4 accesses. The first access should be the first one listed. Index V Tag Data

4 (b) What is the miss rate of the cache for the memory accesses in question (a)?

5 3. The following C program is run on a machine with a data cache that has two-word (8 bytes) blocks and the data capacity of the data cache is 128 bytes. Assume that only references to the array incur memory accesses and the cache is empty at the very beginning. Hint: a variable with int type contains four bytes and the MIPs uses byte addresses int i, c, array[128]; c = 0; for (i=0; i<128; i++) { c = c+array[i]; } (a) How many cache lines are there if the cache is direct mapped? Show your work. (b) How many sets are there if the cache is two-way associative? Which address bits are used for indexing the set in a 32-bit address? Please present the result in Addr[x:y] format (for example, Addr[8:5] means that bit 8 to bit 5 in the address are used for indexing). Show your work. (c) If a direct mapped cache is used, what is the expected miss rate after program execution. Show your work.

6 (d) If a two-way associative cache is used, what is the expected miss rate after program execution. Show your work. (e) If a four-way associative cache is used, what is the expected miss rate after execution the program. Show your work. 4. The diagram below illustrates a blocked, direct-mapped cache for 32-bit data words with 32-bit byte addresses

7 (a) What is the maximum number of words of data from the main memory that can be stored in the cache at any one time? (b) How many bits of the address are used to select which line of the cache is accessed? (c) How many bits wide is the tag field?

8 (d) Briefly explain the purpose of the one-bit V field associated with each cache line (e) Assume that location 0xCF120 was present in the cache. Using the row and column labels from the figure, in what location(s) could we find the data from that location? What would the value of the tag field have to be for the cache row in which the data appears? (f) Can data from location 0xF6768 and 0xF67F8 be present in the cache at the same time? What about the data from locations 0xB20738 and 0x2034? Explain? (g) When an access causes a cache miss, how many words need to be fetched from memory to fill the appropriate cache location?

CS 433 Homework 5. Assigned on 11/7/2017 Due in class on 11/30/2017

CS 433 Homework 5. Assigned on 11/7/2017 Due in class on 11/30/2017 CS 433 Homework 5 Assigned on 11/7/2017 Due in class on 11/30/2017 Instructions: 1. Please write your name and NetID clearly on the first page. 2. Refer to the course fact sheet for policies on collaboration.

More information

6.004 Tutorial Problems L14 Cache Implementation

6.004 Tutorial Problems L14 Cache Implementation 6.004 Tutorial Problems L14 Cache Implementation Cache Miss Types Compulsory Miss: Starting with an empty cache, a cache line is first referenced (invalid) Capacity Miss: The cache is not big enough to

More information

ELE 758 * DIGITAL SYSTEMS ENGINEERING * MIDTERM TEST * Circle the memory type based on electrically re-chargeable elements

ELE 758 * DIGITAL SYSTEMS ENGINEERING * MIDTERM TEST * Circle the memory type based on electrically re-chargeable elements ELE 758 * DIGITAL SYSTEMS ENGINEERING * MIDTERM TEST * Student name: Date: Example 1 Section: Memory hierarchy (SRAM, DRAM) Question # 1.1 Circle the memory type based on electrically re-chargeable elements

More information

ECE 30 Introduction to Computer Engineering

ECE 30 Introduction to Computer Engineering ECE 0 Introduction to Computer Engineering Study Problems, Set #9 Spring 01 1. Given the following series of address references given as word addresses:,,, 1, 1, 1,, 8, 19,,,,, 7,, and. Assuming a direct-mapped

More information

Project: Visual Cache Simulator Input: Real Addresses Outputs: 1. Number of Hits 2. Number of Misses 3. Hit Ratio 4. Visual Representation of Cache

Project: Visual Cache Simulator Input: Real Addresses Outputs: 1. Number of Hits 2. Number of Misses 3. Hit Ratio 4. Visual Representation of Cache Project: Visual Cache Simulator Input: Real Addresses Outputs: 1. Number of Hits 2. Number of Misses 3. Hit Ratio 4. Visual Representation of Cache including 4.1. Index or Index Set 4.2. Tag 4.3. Cache

More information

Virtual Memory Worksheet

Virtual Memory Worksheet Virtual Memory Worksheet (v + p) bits in virtual address (m + p) bits in physical address 2 v number of virtual pages 2 m number of physical pages 2 p bytes per physical page 2 v+p bytes in virtual memory

More information

CAM Content Addressable Memory. For TAG look-up in a Fully-Associative Cache

CAM Content Addressable Memory. For TAG look-up in a Fully-Associative Cache CAM Content Addressable Memory For TAG look-up in a Fully-Associative Cache 1 Tagin Fully Associative Cache Tag0 Data0 Tag1 Data1 Tag15 Data15 1 Tagin CAM Data RAM Tag0 Data0 Tag1 Data1 Tag15 Data15 Tag

More information

ECE331: Hardware Organization and Design

ECE331: Hardware Organization and Design ECE331: Hardware Organization and Design Lecture 24: Cache Performance Analysis Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Last time: Associative caches How do we

More information

Figure 1: Organisation for 128KB Direct Mapped Cache with 16-word Block Size and Word Addressable

Figure 1: Organisation for 128KB Direct Mapped Cache with 16-word Block Size and Word Addressable Tutorial 12: Cache Problem 1: Direct Mapped Cache Consider a 128KB of data in a direct-mapped cache with 16 word blocks. Determine the size of the tag, index and offset fields if a 32-bit architecture

More information

ENCM 369 Winter 2016 Lab 11 for the Week of April 4

ENCM 369 Winter 2016 Lab 11 for the Week of April 4 page 1 of 13 ENCM 369 Winter 2016 Lab 11 for the Week of April 4 Steve Norman Department of Electrical & Computer Engineering University of Calgary April 2016 Lab instructions and other documents for ENCM

More information

ELEC3441: Computer Architecture Second Semester, Homework 3 (r1.1) SOLUTION. r1.1 Page 1 of 12

ELEC3441: Computer Architecture Second Semester, Homework 3 (r1.1) SOLUTION. r1.1 Page 1 of 12 Homework 3, Part ELEC3441: Computer Architecture Second Semester, 2015 16 Homework 3 (r1.1) r1.1 Page 1 of 12 A.1 Cache Access Part A: Problem Set Consider the following sequence of memory accesses to

More information

Virtual Memory Overview

Virtual Memory Overview Virtual Memory Overview Virtual address (VA): What your program uses Virtual Page Number Page Offset Physical address (PA): What actually determines where in memory to go Physical Page Number Page Offset

More information

Write only as much as necessary. Be brief!

Write only as much as necessary. Be brief! 1 CIS371 Computer Organization and Design Midterm Exam Prof. Martin Thursday, March 15th, 2012 This exam is an individual-work exam. Write your answers on these pages. Additional pages may be attached

More information

registers data 1 registers MEMORY ADDRESS on-chip cache off-chip cache main memory: real address space part of virtual addr. sp.

registers data 1 registers MEMORY ADDRESS on-chip cache off-chip cache main memory: real address space part of virtual addr. sp. Cache associativity Cache and performance 12 1 CMPE110 Spring 2005 A. Di Blas 110 Spring 2005 CMPE Cache Direct-mapped cache Reads and writes Textbook Edition: 7.1 to 7.3 Second Third Edition: 7.1 to 7.3

More information

6.004 Tutorial Problems L20 Virtual Memory

6.004 Tutorial Problems L20 Virtual Memory 6.004 Tutorial Problems L20 Virtual Memory Page Table (v + p) bits in virtual address (m + p) bits in physical address 2 v number of virtual pages 2 m number of physical pages 2 p bytes per physical page

More information

Binghamton University. CS-220 Spring Cached Memory. Computer Systems Chapter

Binghamton University. CS-220 Spring Cached Memory. Computer Systems Chapter Cached Memory Computer Systems Chapter 6.2-6.5 Cost Speed The Memory Hierarchy Capacity The Cache Concept CPU Registers Addresses Data Memory ALU Instructions The Cache Concept Memory CPU Registers Addresses

More information

Exercises 6 - Virtual vs. Physical Memory, Cache

Exercises 6 - Virtual vs. Physical Memory, Cache Questions 1. Consider a (very old!) computer with a hard disk of only 1 GB, main memory of 16 MB, and a cache with 512 blocks of 8 words each. Suppose the hard disk and main memory are partitioned into

More information

EE 3613: Computer Organization Homework #2

EE 3613: Computer Organization Homework #2 EE 3613: Computer Organization Homework #2 Due Dates: (in-class) Hw #2A - Monday, September 24, 2018 Due Dates: (in-class) Hw #2B - Friday, September 21, 2018 by 11:59 PM Instructions: 1. The assignment

More information

The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL

The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Comp 411 Computer Organization Fall 2006 Solutions Problem Set #10 Problem 1. Cache accounting The diagram below illustrates a blocked, direct-mapped cache

More information

Caches III. CSE 351 Autumn Instructor: Justin Hsia

Caches III. CSE 351 Autumn Instructor: Justin Hsia Caches III CSE 351 Autumn 2018 Instructor: Justin Hsia Teaching Assistants: Akshat Aggarwal An Wang Andrew Hu Brian Dai Britt Henderson James Shin Kevin Bi Kory Watson Riley Germundson Sophie Tian Teagan

More information

What is Cache Memory? EE 352 Unit 11. Motivation for Cache Memory. Memory Hierarchy. Cache Definitions Cache Address Mapping Cache Performance

What is Cache Memory? EE 352 Unit 11. Motivation for Cache Memory. Memory Hierarchy. Cache Definitions Cache Address Mapping Cache Performance What is EE 352 Unit 11 Definitions Address Mapping Performance memory is a small, fast memory used to hold of data that the processor will likely need to access in the near future sits between the processor

More information

CSE 141 Spring 2016 Homework 5 PID: Name: 1. Consider the following matrix transpose code int i, j,k; double *A, *B, *C; A = (double

CSE 141 Spring 2016 Homework 5 PID: Name: 1. Consider the following matrix transpose code int i, j,k; double *A, *B, *C; A = (double CSE 141 Spring 2016 Homework 5 PID: Name: 1. Consider the following matrix transpose code int i, j,k; double *A, *B, *C; A = (double *)malloc(sizeof(double)*n*n); B = (double *)malloc(sizeof(double)*n*n);

More information

Homework 3 (r1.1) Due: Part (A) -- Apr 29, 2016, 11:55pm Part (B) -- Apr 29, 2016, 11:55pm Part (C) -- Apr 29, 2016, 11:55pm

Homework 3 (r1.1) Due: Part (A) -- Apr 29, 2016, 11:55pm Part (B) -- Apr 29, 2016, 11:55pm Part (C) -- Apr 29, 2016, 11:55pm Second Semester, 2015 16 Homework 3 (r1.1) Due: Part (A) -- Apr 29, 2016, 11:55pm Part (B) -- Apr 29, 2016, 11:55pm Part (C) -- Apr 29, 2016, 11:55pm Instruction: Submit your answers electronically through

More information

6.004 Tutorial Problems L14 Cache Implementation

6.004 Tutorial Problems L14 Cache Implementation 6.004 Tutorial Problems L14 Cache Implementation Cache Miss Types Compulsory Miss: Starting with an empty cache, a cache line is first referenced (invalid) Capacity Miss: The cache is not big enough to

More information

Memory Technology. Caches 1. Static RAM (SRAM) Dynamic RAM (DRAM) Magnetic disk. Ideal memory. 0.5ns 2.5ns, $2000 $5000 per GB

Memory Technology. Caches 1. Static RAM (SRAM) Dynamic RAM (DRAM) Magnetic disk. Ideal memory. 0.5ns 2.5ns, $2000 $5000 per GB Memory Technology Caches 1 Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic RAM (DRAM) 50ns 70ns, $20 $75 per GB Magnetic disk 5ms 20ms, $0.20 $2 per GB Ideal memory Average access time similar

More information

ICS 51: Introduction to Computer Organization

ICS 51: Introduction to Computer Organization ICS 51: Introduction to Computer Organization Sample problems for Quiz #4 ( Solution ) on Spring 2018 1. [Cache Design] Given a fully associative cache has 4 cache lines and each of them contains the following

More information

University of Toronto Faculty of Applied Science and Engineering

University of Toronto Faculty of Applied Science and Engineering Print: First Name:............................. Last Name:............................. Student Number:............................................... University of Toronto Faculty of Applied Science and

More information

The University of Michigan - Department of EECS EECS 370 Introduction to Computer Architecture Midterm Exam 2 solutions April 5, 2011

The University of Michigan - Department of EECS EECS 370 Introduction to Computer Architecture Midterm Exam 2 solutions April 5, 2011 1. Performance Principles [5 pts] The University of Michigan - Department of EECS EECS 370 Introduction to Computer Architecture Midterm Exam 2 solutions April 5, 2011 For each of the following comparisons,

More information

ECE473 Computer Architecture and Organization. Memory Hierarchy: Set Associative Cache

ECE473 Computer Architecture and Organization. Memory Hierarchy: Set Associative Cache Computer Architecture and Organization Memory Hierarchy: Set Associative Cache Lecturer: Prof. Yifeng Zhu Fall, 2015 Portions of these slides are derived from: Dave Patterson UCB Lec 28.1 Fundamental Questions

More information

CPE 631 Advanced Computer Systems Architecture: Homework #2

CPE 631 Advanced Computer Systems Architecture: Homework #2 CPE 631 Advanced Computer Systems Architecture: Homework #2 Issued: 02/01/2006 Due: 02/15/2006 Q#1. (30 points) Evaluate effectiveness of blocking optimization for matrix multiplication on SRx machines.

More information

Prerequisite Quiz September 3, 2003 CS252 Computer Architecture and Engineering

Prerequisite Quiz September 3, 2003 CS252 Computer Architecture and Engineering University of California, Berkeley College of Engineering Computer Science Division EECS Fall 2003 John Kubiatowicz Prerequisite Quiz September 3, 2003 CS252 Computer Architecture and Engineering This

More information

ECE331: Hardware Organization and Design

ECE331: Hardware Organization and Design ECE331: Hardware Organization and Design Lecture 22: Direct Mapped Cache Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Intel 8-core i7-5960x 3 GHz, 8-core, 20 MB of cache, 140

More information

Problem 1 (logic design)

Problem 1 (logic design) Problem 1 (logic design) For this problem, you are to design and implement a sequential multiplexor that works as follows. On each clock cycle, interpret the current input as a selector from the most recent

More information

Second Midterm Exam March 21, 2017 CS162 Operating Systems

Second Midterm Exam March 21, 2017 CS162 Operating Systems University of California, Berkeley College of Engineering Computer Science Division EECS Spring 2017 Ion Stoica Second Midterm Exam March 21, 2017 CS162 Operating Systems Your Name: SID AND 162 Login:

More information

ECE232: Hardware Organization and Design

ECE232: Hardware Organization and Design ECE232: Hardware Organization and Design Lecture 22: Introduction to Caches Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Caches hold a subset of data from the main

More information

ASSIGNMENT 9: CACHE MEMORY NAME. Assume we are building a cache for a memory system that s just 16 bytes big 4 address bits.

ASSIGNMENT 9: CACHE MEMORY NAME. Assume we are building a cache for a memory system that s just 16 bytes big 4 address bits. . SSIGNMNT : H MMORY NM PROLM : -YT H OR -YT MMORY. ssume we are building a cache for a memory system that s just bytes big address bits. We will make a direct mapped cache that has four set, so there

More information

Question F5: Caching [10 pts]

Question F5: Caching [10 pts] Question F5: Caching [ pts] SID: We have 6 KiB of RAM and two options for our cache. Both are two-way set associative with 256 B blocks, LRU replacement, and write-back policies. Cache A is size KiB and

More information

registers data 1 registers MEMORY ADDRESS on-chip cache off-chip cache main memory: real address space part of virtual addr. sp.

registers data 1 registers MEMORY ADDRESS on-chip cache off-chip cache main memory: real address space part of virtual addr. sp. 13 1 CMPE110 Computer Architecture, Winter 2009 Andrea Di Blas 110 Winter 2009 CMPE Cache Direct-mapped cache Reads and writes Cache associativity Cache and performance Textbook Edition: 7.1 to 7.3 Third

More information

1 /20 2 /18 3 /20 4 /18 5 /24

1 /20 2 /18 3 /20 4 /18 5 /24 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.S084 Computation Structures Spring 2018 1 /20 2 /18 3 /20 4 /18 5 /24 Practice

More information

Structure of Computer Systems

Structure of Computer Systems 222 Structure of Computer Systems Figure 4.64 shows how a page directory can be used to map linear addresses to 4-MB pages. The entries in the page directory point to page tables, and the entries in a

More information

CSE351: Memory, Data, & Addressing I

CSE351: Memory, Data, & Addressing I CSE351: Memory, Data, & Addressing I CSE 351 Spring 2017 Instructor: Ruth Anderson Teaching Assistants: Dylan Johnson Kevin Bi Linxing Preston Jiang Cody Ohlsen Yufang Sun Joshua Curtis http://xkcd.com/138/

More information

Review: Computer Organization

Review: Computer Organization Review: Computer Organization Cache Chansu Yu Caches: The Basic Idea A smaller set of storage locations storing a subset of information from a larger set. Typically, SRAM for DRAM main memory: Processor

More information

Question 6: Cache in While You Can (17 points, 26 Minutes)

Question 6: Cache in While You Can (17 points, 26 Minutes) Question 6: Cache in While You Can (17 points, 26 Minutes) Consider a single 4KiB cache with 512B blocks and a write back policy. Assume a 32 bit address space. a) If the cache were direct mapped, # of

More information

Memory Hierarchy. Mehran Rezaei

Memory Hierarchy. Mehran Rezaei Memory Hierarchy Mehran Rezaei What types of memory do we have? Registers Cache (Static RAM) Main Memory (Dynamic RAM) Disk (Magnetic Disk) Option : Build It Out of Fast SRAM About 5- ns access Decoders

More information

SLCD Technical Note TN-100. Programming the SLCD bitmap / macro flash memory in an embedded system

SLCD Technical Note TN-100. Programming the SLCD bitmap / macro flash memory in an embedded system SLCD Technical Note TN-100 Programming the SLCD bitmap / macro flash memory in an embedded system December 3, 2004 Copyright Reach Technology Inc. 2004 All Rights Reserved Reach Technology, Inc. sales@reachtech.com

More information

ECE232: Hardware Organization and Design

ECE232: Hardware Organization and Design ECE232: Hardware Organization and Design Lecture 28: More Virtual Memory Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Virtual memory used to protect applications from

More information

CS 351 Exam 2 Mon. 11/2/2015

CS 351 Exam 2 Mon. 11/2/2015 CS 351 Exam 2 Mon. 11/2/2015 Name: Rules and Hints The MIPS cheat sheet and datapath diagram are attached at the end of this exam for your reference. You may use one handwritten 8.5 11 cheat sheet (front

More information

Midterm #2 Solutions April 23, 1997

Midterm #2 Solutions April 23, 1997 CS152 Computer Architecture and Engineering Computer Science Division Department of Electrical Engineering and Computer Sciences University of California, Berkeley Sp97 D.K. Jeong Midterm #2 Solutions

More information

CS350 Midterm Spring 2012 Page 1

CS350 Midterm Spring 2012 Page 1 UNIVERSITY OF WATERLOO CS 350 MIDTERM :: SPRING 2012 Date: Monday, June 25, 2012 Time: 7:00 8:50 pm Instructor: Dave Tompkins Exam Type: Closed book Additional Materials Allowed: none Last Name: First

More information

Memory Hierarchy & Caches Worksheet

Memory Hierarchy & Caches Worksheet Memory Hierarchy & Caches Worksheet Keep the most often-used data in a small, fast SRAM (often local to CPU chip). The reason this strategy works: LOCALITY. Locality of reference: Access to address X at

More information

CS152 Computer Architecture and Engineering

CS152 Computer Architecture and Engineering CS152 Computer Architecture and Engineering Caches and the Memory Hierarchy Assigned 9/17/2016 Problem Set #2 Due Tue, Oct 4 http://inst.eecs.berkeley.edu/~cs152/fa16 The problem sets are intended to help

More information

ECE260: Fundamentals of Computer Engineering

ECE260: Fundamentals of Computer Engineering Basics of Cache Memory James Moscola Dept. of Engineering & Computer Science York College of Pennsylvania Based on Computer Organization and Design, 5th Edition by Patterson & Hennessy Cache Memory Cache

More information

ECE 3056: Architecture, Concurrency, and Energy of Computation. Sample Problem Set: Memory Systems

ECE 3056: Architecture, Concurrency, and Energy of Computation. Sample Problem Set: Memory Systems ECE 356: Architecture, Concurrency, and Energy of Computation Sample Problem Set: Memory Systems TLB 1. Consider a processor system with 256 kbytes of memory, 64 Kbyte pages, and a 1 Mbyte virtual address

More information

CS 433 Homework 4. Assigned on 10/17/2017 Due in class on 11/7/ Please write your name and NetID clearly on the first page.

CS 433 Homework 4. Assigned on 10/17/2017 Due in class on 11/7/ Please write your name and NetID clearly on the first page. CS 433 Homework 4 Assigned on 10/17/2017 Due in class on 11/7/2017 Instructions: 1. Please write your name and NetID clearly on the first page. 2. Refer to the course fact sheet for policies on collaboration.

More information

ECE 411 Exam 1 Practice Problems

ECE 411 Exam 1 Practice Problems ECE 411 Exam 1 Practice Problems Topics Single-Cycle vs Multi-Cycle ISA Tradeoffs Performance Memory Hierarchy Caches (including interactions with VM) 1.) Suppose a single cycle design uses a clock period

More information

Last class. Caches. Direct mapped

Last class. Caches. Direct mapped Memory Hierarchy II Last class Caches Direct mapped E=1 (One cache line per set) Each main memory address can be placed in exactly one place in the cache Conflict misses if two addresses map to same place

More information

and data combined) is equal to 7% of the number of instructions. Miss Rate with Second- Level Cache, Direct- Mapped Speed

and data combined) is equal to 7% of the number of instructions. Miss Rate with Second- Level Cache, Direct- Mapped Speed 5.3 By convention, a cache is named according to the amount of data it contains (i.e., a 4 KiB cache can hold 4 KiB of data); however, caches also require SRAM to store metadata such as tags and valid

More information

Exam-2 Scope. 3. Shared memory architecture, distributed memory architecture, SMP, Distributed Shared Memory and Directory based coherence

Exam-2 Scope. 3. Shared memory architecture, distributed memory architecture, SMP, Distributed Shared Memory and Directory based coherence Exam-2 Scope 1. Memory Hierarchy Design (Cache, Virtual memory) Chapter-2 slides memory-basics.ppt Optimizations of Cache Performance Memory technology and optimizations Virtual memory 2. SIMD, MIMD, Vector,

More information

indicates problems that have been selected for discussion in section, time permitting.

indicates problems that have been selected for discussion in section, time permitting. Page 1 of 17 Caches indicates problems that have been selected for discussion in section, time permitting. Problem 1. The diagram above illustrates a blocked, direct-mapped cache for a computer that uses

More information

复旦大学软件学院 2017~2018 学年第一学期期中考试试卷

复旦大学软件学院 2017~2018 学年第一学期期中考试试卷 复旦大学软件学院 2017~2018 学年第一学期期中考试试卷 1. Suppose that the target code of 400000 instructions run on a 50MHZ processor, and the program is composed of four instructions. According to the program tracking experiment

More information

Write only as much as necessary. Be brief!

Write only as much as necessary. Be brief! 1 CIS371 Computer Organization and Design Final Exam Prof. Martin Wednesday, May 2nd, 2012 This exam is an individual-work exam. Write your answers on these pages. Additional pages may be attached (with

More information

CSCI 2212: Intermediate Programming / C Chapter 15

CSCI 2212: Intermediate Programming / C Chapter 15 ... /34 CSCI 222: Intermediate Programming / C Chapter 5 Alice E. Fischer October 9 and 2, 25 ... 2/34 Outline Integer Representations Binary Integers Integer Types Bit Operations Applying Bit Operations

More information

Computer System Architecture Midterm Examination Spring 2002

Computer System Architecture Midterm Examination Spring 2002 Computer System Architecture 6.823 Midterm Examination Spring 2002 Name: This is an open book, open notes exam. 110 Minutes 1 Pages Notes: Not all questions are of equal difficulty, so look over the entire

More information

Computer Architecture: Optional Homework Set

Computer Architecture: Optional Homework Set Computer Architecture: Optional Homework Set Black Board due date: Hard Copy due date: Monday April 27 th, at Midnight. Tuesday April 28 th, during Class. Exercise 1: (50 Points) Patterson and Hennessy

More information

UW CSE 351, Winter 2013 Final Exam

UW CSE 351, Winter 2013 Final Exam Full Name: Student ID #: UW CSE 351, Winter 2013 Final Exam March 20, 2013 2:30pm - 4:20pm Instructions: Write your full name and UW student ID number on the front of the exam. When the exam begins, make

More information

Chapter 5A. Large and Fast: Exploiting Memory Hierarchy

Chapter 5A. Large and Fast: Exploiting Memory Hierarchy Chapter 5A Large and Fast: Exploiting Memory Hierarchy Memory Technology Static RAM (SRAM) Fast, expensive Dynamic RAM (DRAM) In between Magnetic disk Slow, inexpensive Ideal memory Access time of SRAM

More information

MIPS) ( MUX

MIPS) ( MUX Memory What do we use for accessing small amounts of data quickly? Registers (32 in MIPS) Why not store all data and instructions in registers? Too much overhead for addressing; lose speed advantage Register

More information

CS 4400 Fall 2018 Midterm Exam 2 Practice (Version 2)

CS 4400 Fall 2018 Midterm Exam 2 Practice (Version 2) CS 4400 Fall 2018 Midterm Exam 2 Practice (Version 2) Name: Instructions You will have eighty minutes to complete the actual open-book, opennote exam. Electronic devices will be allowed only to consult

More information

Department of Electrical Engineering and Computer Sciences Fall 2016 Instructors: Randy Katz, Bernhard Boser

Department of Electrical Engineering and Computer Sciences Fall 2016 Instructors: Randy Katz, Bernhard Boser University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Fall 2016 Instructors: Randy Katz, Bernhard Boser 2016-12-16 L CS61C FINAL J After the

More information

Computer Architecture EE 4720 Final Examination

Computer Architecture EE 4720 Final Examination Name Computer Architecture EE 4720 Final Examination 1 May 2017, 10:00 12:00 CDT Alias Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Exam Total (20 pts) (15 pts) (20 pts) (15 pts) (30 pts) (100 pts)

More information

Inside out of your computer memories (III) Hung-Wei Tseng

Inside out of your computer memories (III) Hung-Wei Tseng Inside out of your computer memories (III) Hung-Wei Tseng Why memory hierarchy? CPU main memory lw $t2, 0($a0) add $t3, $t2, $a1 addi $a0, $a0, 4 subi $a1, $a1, 1 bne $a1, LOOP lw $t2, 0($a0) add $t3,

More information

Changelog. Virtual Memory (2) exercise: 64-bit system. exercise: 64-bit system

Changelog. Virtual Memory (2) exercise: 64-bit system. exercise: 64-bit system Changelog Virtual Memory (2) Changes made in this version not seen in first lecture: 21 November 2017: 1-level example: added final answer of memory value, not just location 21 November 2017: two-level

More information

c. What are the machine cycle times (in nanoseconds) of the non-pipelined and the pipelined implementations?

c. What are the machine cycle times (in nanoseconds) of the non-pipelined and the pipelined implementations? Brown University School of Engineering ENGN 164 Design of Computing Systems Professor Sherief Reda Homework 07. 140 points. Due Date: Monday May 12th in B&H 349 1. [30 points] Consider the non-pipelined

More information

Full Name: CS Account:

Full Name: CS Account: THE UNIVERSITY OF BRITISH COLUMBIA CPSC 313: QUIZ 4 October 31, 2018 Full Name: CS Account: Signature: UBC Student #: Important notes about this examination 1. Write your 4 or 5 character CS account both

More information

UW CSE 351, Summer 2013 Final Exam

UW CSE 351, Summer 2013 Final Exam Name Instructions: UW CSE 351, Summer 2013 Final Exam 9:40am - 10:40am, Friday, 23 August 2013 Make sure that your exam is not missing any of the 11 pages, then write your full name and UW student ID on

More information

We r e going to play Final (exam) Jeopardy! "Answers:" "Questions:" - 1 -

We r e going to play Final (exam) Jeopardy! Answers: Questions: - 1 - . (0 pts) We re going to play Final (exam) Jeopardy! Associate the following answers with the appropriate question. (You are given the "answers": Pick the "question" that goes best with each "answer".)

More information

Slide Set 9. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng

Slide Set 9. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng Slide Set 9 for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary March 2018 ENCM 369 Winter 2018 Section 01

More information

Cache Memory Mapping Techniques. Continue to read pp

Cache Memory Mapping Techniques. Continue to read pp Cache Memory Mapping Techniques Continue to read pp. 289-305 Cache Memory Mapping Again cache memory is a small and fast memory between CPU and main memory A block of words have to be brought in and out

More information

Direct Mapped Cache Hardware. Direct Mapped Cache. Direct Mapped Cache Performance. Direct Mapped Cache Performance. Miss Rate = 3/15 = 20%

Direct Mapped Cache Hardware. Direct Mapped Cache. Direct Mapped Cache Performance. Direct Mapped Cache Performance. Miss Rate = 3/15 = 20% Direct Mapped Cache Direct Mapped Cache Hardware........................ mem[xff...fc] mem[xff...f8] mem[xff...f4] mem[xff...f] mem[xff...ec] mem[xff...e8] mem[xff...e4] mem[xff...e] 27 8-entry x (+27+)-bit

More information

Caches II. CSE 351 Spring Instructor: Ruth Anderson

Caches II. CSE 351 Spring Instructor: Ruth Anderson Caches II CSE 35 Spring 27 Instructor: Ruth Anderson Teaching Assistants: Dylan Johnson Kevin Bi Linxing Preston Jiang Cody Ohlsen Yufang Sun Joshua Curtis Administrivia Office Hours Changes check calendar!!

More information

ECE Lab 8. Logic Design for a Direct-Mapped Cache. To understand the function and design of a direct-mapped memory cache.

ECE Lab 8. Logic Design for a Direct-Mapped Cache. To understand the function and design of a direct-mapped memory cache. ECE 201 - Lab 8 Logic Design for a Direct-Mapped Cache PURPOSE To understand the function and design of a direct-mapped memory cache. EQUIPMENT Simulation Software REQUIREMENTS Electronic copy of your

More information

CS433 Homework 6. Problem 1 [15 points] Assigned on 11/28/2017 Due in class on 12/12/2017

CS433 Homework 6. Problem 1 [15 points] Assigned on 11/28/2017 Due in class on 12/12/2017 CS433 Homework 6 Assigned on 11/28/2017 Due in class on 12/12/2017 Instructions: 1. Please write your name and NetID clearly on the first page. 2. Refer to the course fact sheet for policies on collaboration.

More information

Next Generation Intelligent LCDs

Next Generation Intelligent LCDs Next Generation Intelligent LCDs 2D Run-Length Encoding Application Note Version 1.0 Document Date: April 30, 2013 Copyright by demmel products gmbh 2004-2013 Unless otherwise noted, all materials contained

More information

1 /15 2 /20 3 /20 4 /25 5 /20

1 /15 2 /20 3 /20 4 /25 5 /20 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.S084 Computation Structures Spring 2018 1 /15 2 /20 3 /20 4 /25 5 /20 Quiz

More information

CS 251, Winter 2019, Assignment % of course mark

CS 251, Winter 2019, Assignment % of course mark CS 251, Winter 2019, Assignment 5.1.1 3% of course mark Due Wednesday, March 27th, 5:30PM Lates accepted until 1:00pm March 28th with a 15% penalty 1. (10 points) The code sequence below executes on a

More information

Virtual Memory 1. Virtual Memory

Virtual Memory 1. Virtual Memory Virtual Memory 1 Virtual Memory key concepts virtual memory, physical memory, address translation, MMU, TLB, relocation, paging, segmentation, executable file, swapping, page fault, locality, page replacement

More information

Problem 9. VM address translation. (9 points): The following problem concerns the way virtual addresses are translated into physical addresses.

Problem 9. VM address translation. (9 points): The following problem concerns the way virtual addresses are translated into physical addresses. Problem 9. VM address translation. (9 points): The following problem concerns the way virtual addresses are translated into physical addresses. The memory is byte addressable. Memory accesses are to 1-byte

More information

CS 251, Winter 2018, Assignment % of course mark

CS 251, Winter 2018, Assignment % of course mark CS 251, Winter 2018, Assignment 5.0.4 3% of course mark Due Wednesday, March 21st, 4:30PM Lates accepted until 10:00am March 22nd with a 15% penalty 1. (10 points) The code sequence below executes on a

More information

Memory, Data, & Addressing I

Memory, Data, & Addressing I Memory, Data, & Addressing I CSE 351 Autumn 2017 Instructor: Justin Hsia Teaching Assistants: Lucas Wotton Michael Zhang Parker DeWilde Ryan Wong Sam Gehman Sam Wolfson Savanna Yee Vinny Palaniappan http://xkcd.com/953/

More information

Virtual Memory 1. Virtual Memory

Virtual Memory 1. Virtual Memory Virtual Memory 1 Virtual Memory key concepts virtual memory, physical memory, address translation, MMU, TLB, relocation, paging, segmentation, executable file, swapping, page fault, locality, page replacement

More information

ECE 30, Lab #8 Spring 2014

ECE 30, Lab #8 Spring 2014 ECE 30, Lab #8 Spring 20 Shown above is a multi-cycle CPU. There are six special registers in this datapath: PC, IR, MDR, A, B, and ALUOut. Of these, PC and IR are enabled to change when PCWr and IRWr

More information

CPSC 3300 Spring 2016 Final Exam Version A No Calculators

CPSC 3300 Spring 2016 Final Exam Version A No Calculators CPSC 3300 Spring 2016 Final Exam Version A No Calculators Name: 1. Find the execution time of a program that executes 8 billion instructions on a processor with an average CPI of 2 and a clock frequency

More information

Cache and Virtual Memory Simulations

Cache and Virtual Memory Simulations Cache and Virtual Memory Simulations Does it really matter if you pull a USB out before it safely ejects? Data structure: Cache struct Cache { }; Set *sets; int set_count; int line_count; int block_size;

More information

Associative. Associative. Number of Bits Group or Set Tag

Associative. Associative. Number of Bits Group or Set Tag 1. A memory system has 16 Mbytes of address space, 256 cache lines, and 16 bytes per cache line. Complete the address bit count table below for the three types of cache memory systems. Direct-Mapped 2-way

More information

ISA Instruction Operation

ISA Instruction Operation This exam has 6 problems. Make sure you have a complete exam before you begin. Write your name on every page in case pages become separated during grading. You will have three hours to complete this exam.

More information

Computer Organization and Architecture (CSCI-365) Sample Final Exam

Computer Organization and Architecture (CSCI-365) Sample Final Exam Computer Organization and Architecture (CSCI-365) Sample Final Exam NAME: STUDENT NUMBER 1. Consider a computer system with 64Kbytes main memory and 256bytes cache. If we assume the cache line size is

More information

Page 1. Multilevel Memories (Improving performance using a little cash )

Page 1. Multilevel Memories (Improving performance using a little cash ) Page 1 Multilevel Memories (Improving performance using a little cash ) 1 Page 2 CPU-Memory Bottleneck CPU Memory Performance of high-speed computers is usually limited by memory bandwidth & latency Latency

More information

Part I: Pen & Paper Exercises, Cache

Part I: Pen & Paper Exercises, Cache Fall Term 2016 SYSTEMS PROGRAMMING AND COMPUTER ARCHITECTURE Assignment 11: Caches & Virtual Memory Assigned on: 8th Dec 2016 Due by: 15th Dec 2016 Part I: Pen & Paper Exercises, Cache Question 1 The following

More information

Translation Buffers (TLB s)

Translation Buffers (TLB s) Translation Buffers (TLB s) To perform virtual to physical address translation we need to look-up a page table Since page table is in memory, need to access memory Much too time consuming; 20 cycles or

More information

Virtual Memory (2) 1

Virtual Memory (2) 1 Virtual Memory (2) 1 Changelog 1 Changes made in this version not seen in first lecture: 21 November 2017: 1-level example: added final answer of memory value, not just location 21 November 2017: two-level

More information