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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (2013)
Edinburgh, United Kingdom United Kingdom
Sept. 7, 2013 to Sept. 11, 2013
ISSN: 1089-795X
ISBN: 978-1-4799-1018-2
pp: 5
Per Stenstrom , Dept. of Comput. Sci. & Eng., Chalmers Univ. of Technol., Goteborg, Sweden
ABSTRACT
Summary form only given. As we have embarked on the multi/many-core roadmap, resource management, especially managing parallelism, is left in the hands of programmers. A major challenge moving forward is how to off-load programmers from the daunting task of managing hardware resources in future parallel architectures to meet higher demands on performance and power efficiency. In this talk I will focus on a number of emerging technologies being developed at Chalmers and elsewhere that can help off-loading programmers from parallelism management. These include task-based dataflow programming models and transactional memory. I will also present a framework for resource management and recent findings concerning how to manage memory hierarchies more power efficiently.
INDEX TERMS
Resource management, Parallel architectures, Educational institutions, Parallel processing, Computer science, Electronic mail
CITATION
Per Stenstrom, , , , "APOGEE: adaptive prefetching on GPUs for energy efficiency", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 5, 2013, doi:10.1109/PACT.2013.6618798
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