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We present Offload, a programming model for offloading parts of a C++ application to run on accelerator cores in a heterogeneous multicore system. Code to be offloaded is enclosed in an offload scope; all functions called indirectly from an offload scope are compiled for the accelerator cores. Data defined inside/outside an offload scope resides in(More)
The 3-year European FP7 project PEPPHER addresses efficient utilization and usage of hybrid (heterogeneous) computer systems consisting of multi-core CPUs with GPU-type accelerators. PEPPHER is concerned with two major aspects: programmability and efficiency on given heterogeneous systems, and code and performance portability between different heterogeneous(More)
We discuss three complementary approaches that can provide both portability and an increased level of abstraction for the programming of heterogeneous multicore systems. Together, these approaches also support performance portability, as currently investigated in the EU FP7 project PEPPHER. In particular, we consider (1) a library-based approach, here(More)
—Offload C++ is an extended version of the C++ language, together with a compiler and runtime system, for automatically offloading general-purpose C++ code to run on the Synergistic Processor Elements (SPEs) of the Cell Broadband Engine (BE) processor. We introduce Offload C++ by presenting a case study using the approach to offload parts of an image(More)
Memory architectures need to adapt in order for performance and scalability to be achieved in software for multicore systems. In this paper, we discuss the impact of techniques for scalable memory architectures, especially the use of multiple, non-cache-coherent memory spaces, on the implementation and performance of consumer software. Primarily, we report(More)
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