A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Abstract. Heterogeneous multi-core platforms are increasingly prevalent due to their perceived superior performance over homogeneous systems. The best performance, however, can only be achieved if tasks are accurately mapped to the right processors. OpenCL programs can be partitioned to take advantage of all the available processors in a system. However, finding the best partitioning for any heterogeneous system is difficult and depends on the hardware and software implementation. We propose a portable partitioning scheme for OpenCL programs on heterogeneous CPU-GPU systems. We develop a purely static approach based on predictive modelling and program features. When evaluated

• Type: Journal
• Year: 2011
• Where: CC
• Authors: Dominik Grewe, Michael F. P. O'Boyle
• Keywords: CC 2011, Heterogeneous System, Homogeneous Systems, Static Approach, System Software