'Sparse linear algebra' diaporamas de présentation

Parallelism and Locality in Matrix Computations www.cs.berkeley.edu/~demmel/cs267_Spr09 Introduction

Parallelism and Locality in Matrix Computations www.cs.berkeley.edu/~demmel/cs267_Spr09 Introduction. Jim Demmel EECS & Math Departments, UC Berkeley demmel@cs.berkeley.edu. Outline (of all lectures). Why all computers must be parallel processors

1.44k views • 129 slides

Minimizing Communication in Linear Algebra

1.27k views • 101 slides

The Berkeley View: A New Framework & a New Platform for Parallel Research

The Berkeley View: A New Framework & a New Platform for Parallel Research . David Patterson and a cast of thousands Pardee Professor of Computer Science, U.C. Berkeley Director, RAD Lab, U.C. Berkeley Past President, Association for Computing Machinery. November, 2006. High Level Message.

807 views • 56 slides

Single Processor Optimizations Matrix Multiplication Case Study

Single Processor Optimizations Matrix Multiplication Case Study. Kathy Yelick yelick@cs.berkeley.edu www.cs.berkeley.edu/~yelick/cs267_spr07. Outline. Recap from Lecture 2 Memory hierarchy is important to performance Use of simple performance models to understand performance

634 views • 48 slides

L15: Review for Midterm

L15: Review for Midterm. Administrative. Project proposals due today at 5PM (hard deadline) handin cs6963 prop <propfile> March 31, MIDTERM in class. Outline. Questions on proposals? More on strsm Review for Midterm Describe planned exam Go over syllabus . Midterm Exam March 31.

418 views • 8 slides