Mozart : Efficient Composition of Library Functions for Heterogeneous Execution

Author:

Barik Rajkishore,Shpeisman Tatiana,Rong Hongbo,Hu Chunling,Lee Victor W.,Anderson Todd A.,Henry Greg,Liu Hai,Wu Youfeng,Petersen Paul,Lowney Geoff

Publisher

Springer International Publishing

Reference46 articles.

1. Effective Use of the Intel Compiler’s Offload Features. https://software.intel.com/en-us/articles/effective-use-of-the-intel-compilers-offload-features

2. How to Overlap Data Transfers in CUDA C/C++. https://devblogs.nvidia.com/parallelforall/how-overlap-data-transfers-cuda-cc/

3. Intel Math Kernel Library Automatic Offload for Intel Xeon Phi Coprocessor. https://software.intel.com/en-us/articles/math-kernel-library-automatic-offload-for-intel-xeon-phi-coprocessor

4. AlSaber, N., Kulkarni, M.: Semcache: semantics-aware caching for efficient GPU offloading. In: Proceedings of the 27th International ACM Conference on International Conference on Supercomputing, ICS 2013, pp. 421–432. ACM, New York (2013)

5. Augonnet, C., Thibault, S., Namyst, R., Wacrenier, P.-A.: StarPU: a unified platform for task scheduling on heterogeneous multicore architectures. Concurr. Comput.: Pract. Exp. 23(2), 187–198 (2011)

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