'Hit time miss rate' presentation slideshows

OMSE 510: Computing Foundations 3: Caches, Assembly, CPU Overview

OMSE 510: Computing Foundations 3: Caches, Assembly, CPU Overview. Chris Gilmore <grimjack@cs.pdx.edu> Portland State University/OMSE. Today. Caches DLX Assembly CPU Overview. System Bus. Computer System (Idealized). Disk. Memory. CPU. Disk Controller. Processor. Input. Control.

1.49k views • 133 slides

OMSE 510: Computing Foundations 3: Caches, Assembly, CPU Overview

OMSE 510: Computing Foundations 3: Caches, Assembly, CPU Overview. Chris Gilmore <grimjack@cs.pdx.edu> Portland State University/OMSE. Today. Caches DLX Assembly CPU Overview. System Bus. Computer System (Idealized). Disk. Memory. CPU. Disk Controller. Processor. Input. Control.

1.34k views • 133 slides

Lecture 08: Memory Hierarchy Cache Performance

Lecture 08: Memory Hierarchy Cache Performance. Kai Bu kaibu@zju.edu.cn http://list.zju.edu.cn/kaibu/comparch2016fall. Lab 2 Report due Lab 3 Demo due December 08 Report due December 16 Lab 4 Demo due December 15 Report due December 22.

808 views • 80 slides

Lecture 10: Memory Hierarchy Design

639 views • 63 slides

CS151B Computer Systems Architecture Winter 2002 TuTh 2-4pm - 2444 BH

CS151B Computer Systems Architecture Winter 2002 TuTh 2-4pm - 2444 BH. Lecture 15 More Caches and Virtual Memories. Instructor: Prof. Jason Cong <cong@cs.ucla.edu>. Cache Data. Cache Tag. Valid. Cache Block 0. :. :. :. Compare. Recap: Set Associative Cache.

607 views • 50 slides

Memory Design Principles

Memory Design Principles. Principle of locality dominates design Smaller = faster Hierarchy goal: total memory system almost as cheap as the cheapest component, almost as fast as the fastest component. Memory Hierarchy Design.

634 views • 41 slides

Graduate Computer Architecture I

Graduate Computer Architecture I. Lecture 5: Memory Hierarchy Young Cho. Branch Prediction. Not Having Branch Prediction are Expensive As pipelines get deeper and more complex Issuing and executing multiple instructions Branch History Table N-bits for loop accuracy Correlation

539 views • 41 slides

Lecture 15 Calculating and Improving Cache Perfomance

Lecture 15 Calculating and Improving Cache Perfomance. Prof. Mike Schulte Computer Architecture ECE 201. Cache Performance Measures. Hit rate : fraction found in the cache So high that we usually talk about Miss rate = 1 - Hit Rate Hit time : time to access the cache

183 views • 18 slides