For better utilization of computing resources, it is important to consider parallel programming environments in which the number of available processors varies at runtime. In this...
Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. ...
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
The most popular architecture for parallel search is work stealing: threads that have run out of work (nodes to be searched) steal from threads that still have work. Work stealing ...
Abstract We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting te...