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» Complexity and Performance in Parallel Programming Languages
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SEW
2006
IEEE
15 years 6 months ago
Integrating Probability with Time and Shared-Variable Concurrency
Complex software systems typically involve features like time, concurrency and probability, where probabilistic computations play an increasing role. It is challenging to formaliz...
Huibiao Zhu, Shengchao Qin, Jifeng He, Jonathan P....
163
Voted
ADT
2011
14 years 4 months ago
Virtual networks: isolation, performance, and trends
Currently, there is a strong effort of the research community in rethinking the Internet architecture to cope with its current limitations and support new requirements. Many resea...
Natalia Castro Fernandes, Marcelo D. D. Moreira, I...
109
Voted
ICPP
2008
IEEE
15 years 7 months ago
Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
140
Voted
PPOPP
2003
ACM
15 years 5 months ago
Using generative design patterns to generate parallel code for a distributed memory environment
A design pattern is a mechanism for encapsulating the knowledge of experienced designers into a re-usable artifact. Parallel design patterns reflect commonly occurring parallel co...
Kai Tan, Duane Szafron, Jonathan Schaeffer, John A...
HPCA
1995
IEEE
15 years 4 months ago
Software Cache Coherence for Large Scale Multiprocessors
Shared memory is an appealing abstraction for parallel programming. It must be implemented with caches in order toperform well, however, and caches require a coherence mechanism t...
Leonidas I. Kontothanassis, Michael L. Scott