Abstract—Using directive techniques for accelerating loops on heterogeneous systems, object-oriented programs can be hundreds of folds faster with a short learning curve required from programmers. Despite much research on various loop parallelization techniques, the opportunity to accelerate a compact construct like range-based loops using directive-based compilers has not yet been investigated. The paper addresses this issue and presents directive-based compiler techniques for accelerating range-based loops using OpenCL. The experimental results based on two workloads show the speedup of 3-135 folds achieved from accelerating range-based loops using the proposed compiler. The literature review depicts an average of 12–135 folds speedup gain by using traditional loop acceleration by existing directive-based compilers. This highlights the potential of exploiting loop-level parallelism by using range-based loop acceleration.

Index Terms—Loop parallelization, GPU, OpenCL, compiler, C++, acceleration, heterogeneous systems.

Department of Computer Science, Thammasat University, Pathum Thani, Thailand.

Cite:Chaturapat Suwancharoen, Worawan Marurngsith, "Compiler Support for Accelerating C++11 Range-Based Loops on Heterogeneous Systems," International Journal of Computer and Electrical Engineering vol. 7, no. 2, pp. 109-117, 2015.