Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
Parallelization of sequential programs is often daunting because of the substantial development cost involved. Various solutions have been proposed to address this concern, includ...
Harnish Botadra, Qiong Cheng, Sushil K. Prasad, Er...
Simulation of large-scale networks requires enormous amounts of memory and processing time. One way of speeding up these simulations is to distribute the model over a number of co...
Today Graphics Processing Units (GPUs) are a largely underexploited resource on existing desktops and a possible costeffective enhancement to high-performance systems. To date, mo...
Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santo...
—Interest management is essential for real-time large-scale distributed virtual environments (DVEs) which seeks to filter irrelevant messages on the network. Many existing inter...