Revision as of 17:38, 19 October 2007 edit 128.115.27.10 (talk) →Compiler parallelization analysis ← Previous edit		Revision as of 16:33, 14 January 2008 edit undo Peytonbland (talk \| contribs) 106 edits →Workaround: - added a link to SUIF at Stanford Next edit →
Line 45: Due to the inherent difficulties in full automatic parallelization, several easier approaches exist to get a parallel program in higher quality. They are: * Allow programmers to add "hints" to their programs to guide compiler parallelization, such as [[HPF]] for [[distributed memory]] systems and [[OpenMP]] for [[shared memory]] systems. * Build an interactive system between programmers and parallelizing tools/compilers. Notable examples are [[SUIF]] Explorer (The Stanford University Intermediate Format compiler, http://suif.stanford.edu/), the Polaris compiler, and ParaWise (formally CAPTools). * Hardware-supported [[speculative multithreading]].

Automatic parallelization: Difference between revisions