The proliferation of multicore systems and clusters sets stage for parallel computing with MATLAB
|6 Jul 2009||Linda Webb||
"Twelve years ago, in the Spring of 1995, I wrote a Cleve’s Corner titled "Why There Isn’t a Parallel MATLAB." That one-page article has become one of my most frequently referenced papers. At the time, I argued that the distributed memory model of most contemporary parallel computers was incompatible with the MATLAB memory model, that MATLAB spent only a small portion of its execution time on tasks that could be automatically parallelized, and that there were not enough potential customers to justify a significant development effort. The situation is very different today..."
By Cleve Moler, The MathWorks