Parallel computing has become an important research field in the last years. The availability of hardware and the success of grid computing have motivated this interest. In this pa...
We identify the challenges that are special to parallel sparse matrix-matrix multiplication (PSpGEMM). We show that sparse algorithms are not as scalable as their dense counterpar...
We present a transparent, system-level checkpointing solution for master-worker parallelism that automatically adapts, upon restart, to the number of processor nodes available. Th...
— In forward error correction, convolutional turbo codes were introduced to increase error correction capability approaching the Shannon bound. Decoding of these codes, however, ...
The amount of Task Level Parallelism (TLP) in runtime workload is useful information to determine the efficient usage of multiprocessors. This paper presents mechanisms to dynami...