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HIPC
2009
Springer
13 years 5 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
HPCA
2006
IEEE
14 years 8 months ago
Store vectors for scalable memory dependence prediction and scheduling
Allowing loads to issue out-of-order with respect to earlier unresolved store addresses is very important for extracting parallelism in large-window superscalar processors. Blindl...
Samantika Subramaniam, Gabriel H. Loh
PPOPP
2010
ACM
14 years 4 months ago
Scheduling support for transactional memory contention management
Transactional Memory (TM) is considered as one of the most promising paradigms for developing concurrent applications. TM has been shown to scale well on multiple cores when the d...
Walther Maldonado, Patrick Marlier, Pascal Felber,...
ICS
2007
Tsinghua U.
14 years 1 months ago
Scheduling FFT computation on SMP and multicore systems
Increased complexity of memory systems to ameliorate the gap between the speed of processors and memory has made it increasingly harder for compilers to optimize an arbitrary code...
Ayaz Ali, S. Lennart Johnsson, Jaspal Subhlok
ICDCS
1996
IEEE
13 years 11 months ago
Dynamic Scheduling Strategies for Shared-memory Multiprocessors
Efficiently scheduling parallel tasks on to the processors of a shared-memory multiprocessor is critical to achieving high performance. Given perfect information at compile-time, ...
Babak Hamidzadeh, David J. Lilja