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SPAA
2012
ACM
6 years 9 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
ISCA
2012
IEEE
279views Hardware» more  ISCA 2012»
6 years 9 months ago
Staged memory scheduling: Achieving high performance and scalability in heterogeneous systems
When multiple processor (CPU) cores and a GPU integrated together on the same chip share the off-chip main memory, requests from the GPU can heavily interfere with requests from t...
Rachata Ausavarungnirun, Kevin Kai-Wei Chang, Lava...
ICCD
2011
IEEE
296views Hardware» more  ICCD 2011»
7 years 6 months ago
DPPC: Dynamic power partitioning and capping in chip multiprocessors
—A key challenge in chip multiprocessor (CMP) design is to optimize the performance within a power budget limited by the CMP’s cooling, packaging, and power supply capacities. ...
Kai Ma, Xiaorui Wang, Yefu Wang
ARESEC
2011
117views more  ARESEC 2011»
7 years 7 months ago
Non-Parallelizable and Non-Interactive Client Puzzles from Modular Square Roots
—Denial of Service (DoS) attacks aiming to exhaust the resources of a server by overwhelming it with bogus requests have become a serious threat. Especially protocols that rely o...
Yves Igor Jerschow, Martin Mauve
IEEEPACT
2008
IEEE
9 years 1 months ago
Pangaea: a tightly-coupled IA32 heterogeneous chip multiprocessor
Moore’s Law and the drive towards performance efficiency have led to the on-chip integration of general-purpose cores with special-purpose accelerators. Pangaea is a heterogeneo...
Henry Wong, Anne Bracy, Ethan Schuchman, Tor M. Aa...
LCTRTS
2009
Springer
9 years 2 months ago
Synergistic execution of stream programs on multicores with accelerators
The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. The StreamIt graphs describe task, da...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
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