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The significant growth in computational power of modern Graphics Processing Units (GPUs) coupled with the advent of general purpose programming environments like NVIDIA's CUDA, has seen GPUs emerging as a very popular parallel computing platform. Till recently, there has not been a performance model for GPGPUs. The absence of such a model makes it difficult to definitively assess the suitability of...
PRAM CREW parallel algorithms requiring logarithmic time and a linear number of processors exist for sliding (LZ1) and static dictionary compression. On the other hand, LZ2 compression seems hard to parallelize. Both adaptive methods work with prefix dictionaries, that is, all prefixes of a dictionary element are dictionary elements.Therefore, it is reasonable to use prefix dictionaries also for the...
The shading processors in graphics hardware are becoming increasingly general-purpose. We test, through simulation and benchmarking, the potential performance impact of replacing these processors with a fully general-purpose parallel processor, without the fixed-function graphics hardware legacy of current graphics processing units (GPUs). The representative general-purpose processor we test against...
Universal networks offer the advantage that they can execute programs written for simpler architectures without significant run-time overhead. In this paper we investigate simulations of tree machines; the fact that divide-and-conquer algorithms are programmed naturally on trees motivates our investigation. Among various proposals for parallel computing the boolean hypercube has emerged as a particularly...
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