'Dense linear algebra' presentation slideshows

CS 267 Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication

CS 267 Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr09. Outline. History and motivation Structure of the Dense Linear Algebra motif Parallel Matrix-matrix multiplication

1.21k views • 90 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

569 views • 48 slides

Avoiding Communication in Linear Algebra

Avoiding Communication in Linear Algebra. Jim Demmel UC Berkeley b ebop.cs.berkeley.edu. Motivation. Running time of an algorithm is sum of 3 terms: # flops * time_per_flop # words moved / bandwidth # messages * latency. communication. Motivation.

551 views • 44 slides

Rethinking Component Based Software Engineering

303 views • 18 slides