Towards automatic resource management in parallel architectures
Per Stenström · Chalmers Publication Library (Chalmers University of Technology) · 2013
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.