The idle computers on a local area, campus area, or even wide area network represent a significant computational resource--one that is, however, also unreliable, heterogeneous, an...
The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experime...
Kevin A. Huck, Allen D. Malony, Sameer Shende, Ala...
A massively scalable architecture for decoding low-density parity-check codes is presented in this paper. This novel architecture uses hardware scaling and memory partitioning to ...
MapReduce has been widely used for large-scale data analysis in the Cloud. The system is well recognized for its elastic scalability and fine-grained fault tolerance although its...
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...