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» Hardening Functions for Large Scale Distributed Computations
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ICS
2010
Tsinghua U.
15 years 7 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
150
Voted
TON
2010
279views more  TON 2010»
15 years 3 months ago
Distributed algorithms for minimum cost multicast with network coding
— We adopt the network coding approach to achieve minimum-cost multicast in interference-limited wireless networks where link capacities are functions of the signal-to-noise-plus...
Yufang Xi, Edmund M. Yeh
ICPP
2009
IEEE
15 years 11 months ago
Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...
130
Voted
EUROPAR
2003
Springer
15 years 10 months ago
Exploiting On-Chip Data Transfers for Improving Performance of Chip-Scale Multiprocessors
As compared to a complex single processor based system, on-chip multiprocessors are less complex, more power efficient, and easier to test and validate. In this work, we focus on a...
Guangyu Chen, Mahmut T. Kandemir, Alok N. Choudhar...
CLOUDCOM
2010
Springer
15 years 2 months ago
Attaching Cloud Storage to a Campus Grid Using Parrot, Chirp, and Hadoop
The Hadoop filesystem is a large scale distributed filesystem used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with dataintensive ...
Patrick Donnelly, Peter Bui, Douglas Thain