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Book Chapter

Automatic parallelization of EC on GPGPUs and clusters of GPGPU machines with EASEA and EASEA-CLOUD

Springer Verlag, (2013), 35-59
DOI: 10.1007/978-3-642-37959-8_3
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Abstract

GPGPU cards are very difficult to program efficiently. This chapter explains how the EASEA and EASEA-CLOUD platforms can implement different evolution engines efficiently in a massively parallel way that can also serve as a starting point for more complex projects.

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APA

Collet, P., Krüger, F., & Maitre, O. (2013). Automatic parallelization of EC on GPGPUs and clusters of GPGPU machines with EASEA and EASEA-CLOUD. In Natural Computing Series (Vol. 46, pp. 35–59). Springer Verlag. https://doi.org/10.1007/978-3-642-37959-8_3

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