'Matrix vector multiply' presentation slideshows

V-IRAM Compiler Benchmarks and Applications

V-IRAM Compiler Benchmarks and Applications. Adam Janin, David Judd, Christoforos Kozyrakis, David Martin, Thinh Nguyen, Randi Thomas, David Patterson, Kathy Yelick. Overview of V-IRAM Benchmarks. Hand-Coded Benchmarks Media Kernels FFT H.263 Video Encoder Application

711 views • 58 slides

CS 267: Applications of Parallel Computers Solving Linear Systems arising from PDEs - I

534 views • 53 slides

Exploiting On-chip Memory Bandwidth in the VIRAM Compiler

Exploiting On-chip Memory Bandwidth in the VIRAM Compiler. Dave Judd, Katherine Yelick, Christoforos Kozyrakis, David Martin, and David Patterson http://iram.cs.berkeley.edu/. Data Cache (8KB). IRAM Overview. A processor architecture for embedded/portable systems running media applications

503 views • 50 slides

Data Locality

402 views • 26 slides

A Few Thoughts on Programming Models for Massively Parallel Systems

A Few Thoughts on Programming Models for Massively Parallel Systems. Bill Gropp and Rusty Lusk Mathematics and Computer Science Division www.mcs.anl.gov/~{gropp,lusk}. Application Realities. The applications for massively parallel systems already exist Because they take years to write

397 views • 23 slides

James Demmel cs.berkeley/~demmel/cs267_Spr99

313 views • 22 slides

Lecture 8: Caffe - CPU Optimization

Lecture 8: Caffe - CPU Optimization. boris . ginzburg@intel.com. Agenda. Profiling of application with Vtune Caffe with BLAS Parallelization with OpenMP. Vtune : getting started. Vtune : getting started.

524 views • 17 slides