Title: TokenNets: An Approach to Programming Highly Parallel Measurement Science and Signal Processing
Abstract: All industries that provide value-added through the use of software are facing a \multicore crisis. Clock rates of central processing units (CPUs) stopped rising at their former exponential rate in about 2004. Instead, processor manufacturers are increasing the number of parallel execution units or cores provided per CPU. The number of cores is now increasing exponentially. In order for product performance to grow with improvements in processors, it will be necessary to program in such a way that this ever-growing number of parallel processors is used eectively. However, for the sort of algorithms typically found in applications where the computational complexity lies in signal processing and measurement science algorithms, currently available programming tools will fall short in exploiting the numbers of cores soon to be available. Gustafson’s Law gives an straightforward (but approximate) way of exploring the limits of performance improvements available from parallelization. The Law can be written TP = Tser + Tpar P ;
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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