'Parallel time' presentation slideshows

Joint work with:

Parallel Computation and Algorithms by Raymond Greenlaw Armstrong Atlantic State University. Joint work with:. Jim Hoover Computer Science Department University of Alberta. Pilar de la Torre Department of Computer Science University of New Hampshire. Alex Schaffer

1.17k views • 101 slides

Grade School Again: A Parallel Perspective

1.06k views • 98 slides

Joint work with:

Parallel Computation and Algorithms by Raymond Greenlaw Armstrong Atlantic State University. Joint work with:. Jim Hoover Computer Science Department University of Alberta. Pilar de la Torre Department of Computer Science University of New Hampshire. Alex Schaffer

1.11k views • 98 slides

Grade School Again: A Parallel Perspective

991 views • 98 slides

Lecture 10: Performance Metrics

Lecture 10: Performance Metrics. Shantanu Dutt ECE Dept. UIC. Adapted from Chapter 5 slides of the text, by A. Grama w/ a few changes, augmentations and corrections. Acknowledgement. Topic Overview . Sources of Overhead in Parallel Programs Performance Metrics for Parallel Systems

1.32k views • 57 slides

Experiencing Cluster Computing

673 views • 44 slides

Experiencing Cluster Computing

557 views • 44 slides

Joint work with :

An Introduction to Parallel Computation and ? -Completeness Theory by Raymond Greenlaw. Joint work with :. Larry Ruzzo Department of Computer Science University of Washington. Jim Hoover Computing Science Department University of Alberta. Outline. Introduction Parallel Models of Computation

502 views • 39 slides

Effective Presentation Techniques

Effective Presentation Techniques. Michael J. Quinn 7 October 2005. Version 1.2. Structuring presentation. Designing slides. Pausing techniques. Answering questions. Outline. Structuring presentation. Designing slides. Pausing techniques. Answering questions. Structuring Presentation.

725 views • 37 slides

Reconfigurable Versus Fixed Versus Hybrid Architectures

Reconfigurable Versus Fixed Versus Hybrid Architectures. John K. Antonio Oklahoma Supercomputing Symposium 2008 Norman, Oklahoma October 6, 2008. Overview. The (past) world of reconfigurable computing The (past) world of multi-core

444 views • 29 slides

Algorithms for Independent Task Placement and Their Tuning in Demand-Driven Ray Tracing

Algorithms for Independent Task Placement and Their Tuning in Demand-Driven Ray Tracing. Algorithms for Independent Task Placement and Their Tuning in the Context of Demand-Driven Parallel Ray Tracing. Overview. Demand-driven process farm

321 views • 21 slides

CENG 532 - Distributed Computing Systems

149 views • 10 slides

Parallel Matrix Multiply

Parallel Matrix Multiply. Computing C = C + A*B Using basic algorithm: 2*n 3 flops Variables are: Data layout Structure of communication Schedule of communication Simple model for analyzing algorithm performance: t comm = communication time = t startup + (#words * t data )

300 views • 8 slides

PIPELINES Parallel Level 1

PIPELINES Parallel Level 1. Pipelines are an architectural enchancement that improves the performance of a computer system without increasing the clock speed Pipelines take advantage of inherent parallelism in instructions

256 views • 5 slides