| 1. |
- Benkner, Siegfried, et al.
(författare)
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PEPPHER : Efficient and Productive Usage of Hybrid Computing Systems
- 2011
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Ingår i: IEEE Micro. - : IEEE Institute of Electrical and Electronics. - 0272-1732 .- 1937-4143. ; 31:5, s. 28-41
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Tidskriftsartikel (refereegranskat)abstract
- PEPPHER, a three-year European FP7 project, addresses efficient utilization of hybrid (heterogeneous) computer systems consisting of multicore CPUs with GPU-type accelerators. This article outlines the PEPPHER performance-aware component model, performance prediction means, runtime system, and other aspects of the project. A larger example demonstrates performance portability with the PEPPHER approach across hybrid systems with one to four GPUs.
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| 2. |
- Kessler, Christoph, 1966-, et al.
(författare)
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Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems
- 2012
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Ingår i: Proceedings Design, Automation & Test in Europe. - : IEEE conference proceedings. - 9781457721458 ; , s. 1402-1408
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Konferensbidrag (refereegranskat)abstract
- 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 represented by the integration of the SkePU C++ skeleton programming library with the StarPU runtime system for dynamic scheduling and dynamic selection of suitable execution units for parallel tasks; (2) a language-based approach, here represented by the Offload-C++ high-level language extensions and Offload compiler to generate platform-specific code; and (3) a component-based approach, specifically the PEPPHER component system for annotating user-level application components with performance metadata, thereby preparing them for performance-aware composition. We discuss the strengths and weaknesses of these approaches and show how they could complement each other in an integrational programming framework for heterogeneous multicore systems.
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