Title: HSTREAM: A directive-based language extension for heterogeneous stream computing,
Abstract: Big data streaming applications require utilization of heterogeneous parallel
computing systems, which may comprise multiple multi-core CPUs and many-core
accelerating devices such as NVIDIA GPUs and Intel Xeon Phis. Programming such
systems require advanced knowledge of several hardware architectures and
device-specific programming models, including OpenMP and CUDA. In this paper,
we present HSTREAM, a compiler directive-based language extension to support
programming stream computing applications for heterogeneous parallel computing
systems. HSTREAM source-to-source compiler aims to increase the programming
productivity by enabling programmers to annotate the parallel regions for
heterogeneous execution and generate target specific code. The HSTREAM runtime
automatically distributes the workload across CPUs and accelerating devices. We
demonstrate the usefulness of HSTREAM language extension with various
applications from the STREAM benchmark. Experimental evaluation results show
that HSTREAM can keep the same programming simplicity as OpenMP, and the
generated code can deliver performance beyond what CPUs-only and GPUs-only
executions can deliver.