Abstract
We present a detailed approach for making use of two new computer hardware architectures-CBEA and CUDA-for accelerating a scientific data-analysis application (Einstein@Home). Our results suggest that both the architectures suit the application quite well and the achievable performance in the same software developmental time-frame is nearly identical. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Breitbart, J., & Khanna, G. (2010). An exploration of CUDA and CBEA for Einstein@Home. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6067 LNCS, pp. 486–495). https://doi.org/10.1007/978-3-642-14390-8_51
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