Personal tools
You are here: Home Publications Strategy for Compiling Parallel Matlab for General Distributions
Navigation
Log in (CAS)
 
Document Actions

Mary Fletcher, Cheryl McCosh, Ken Kennedy, and Guohua Jin (2006)

Strategy for Compiling Parallel Matlab for General Distributions

Rice University, Houston, TX.

Executing applications in parallel can produce significant performance gains, yet the time and expertise needed for the low-level details of parallelism is often prohibitive. Additionally, many applications rely heavily on domain-specific libraries, while it is not practical to write an optimizing compiler each time a domain-specific library is developed. In order to obtain high performance parallelism from a high-level, domain-specific scripting language, we are developing a parallel Matlab compiler, called the Matlab D compiler, using a telescoping languages framework to generate Fortran with MPI from Matlab scripts.

by admin last modified 2007-12-10 09:52
« April 2018 »
Su Mo Tu We Th Fr Sa
1234567
891011121314
15161718192021
22232425262728
2930
 

Powered by Plone

MatlabD Collaborators include:

Rice University