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
Per Stenstrom , Dept. of Comput. Sci. & Eng., Chalmers Univ. of Technol., Goteborg, Sweden
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.
Resource management, Parallel architectures, Educational institutions, Parallel processing, Computer science, Electronic mail
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