PC grids represent massive computation capacity at a low cost, but are challenging to employ for parallel computing because of variable and unpredictable performance and availabili...
Nagarajan Kanna, Jaspal Subhlok, Edgar Gabriel, Es...
In our research project named “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, we have been developing a prototype cluster not based on ASIC or FPGA...
One way to exploit Thread Level Parallelism (TLP) is to use architectures that implement novel multithreaded execution models, like Scheduled DataFlow (SDF). This latter model pro...
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Abstract. HeteroMPI is an extension of MPI designed for high performance computing on heterogeneous networks of computers. The recent new feature of HeteroMPI is the optimized vers...
Alexey L. Lastovetsky, Maureen O'Flynn, Vladimir R...