MPC
An effective floating-point compression algorithm for GPUsa
A. Yang; J. Coplin; H. Mukka; F. Hesaaraki; M. Burtscher Texas State University, San Marcos, TX, United States
Abstract
Because of their high peak performance and energy efficiency, massively parallel accelerators such as graphics processing units (GPUs) are quickly spreading in high-performance computing, where large amounts of floating-point data are processed, transferred, and stored. Such environments can greatly benefit from data compression if it is done quickly enough. Unfortunately, most conventional compression algorithms are unsuitable for highly parallel execution. In fact, how to design good compression algorithms for massively parallel hardware still ...
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