A Data-Parallel Extension to Ruby for GPGPU

Hidehiko Masuhara, Yusuke Nishiguchi
Graduate School of Arts and Sciences, University of Tokyo, JST/CREST
Reflection, AOP and Meta-Data for Software Evolution (RAM-SE’12), 2012


   title={A Data-Parallel Extension to Ruby for GPGPU},

   author={Masuhara, H. and Nishiguchi, Y.},



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We propose Ikra, a data-parallel extension to Ruby for general-purpose computing on graphical processing unit (GPGPU). Our approach is to provide a special array class with higher-order methods for describing computation on a GPU. With a static type inference system that identifies code fragments that shall be executed on a GPU and with a skeleton-based compiler that generates CUDA code, we aim at separating application logic and parallelization and optimizations. The paper presents the design of Ikra and an overview of its implementation along with preliminary performance evaluation.
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