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ICDE
2011
IEEE
258views Database» more  ICDE 2011»
12 years 11 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
ISCA
2011
IEEE
238views Hardware» more  ISCA 2011»
12 years 11 months ago
Rebound: scalable checkpointing for coherent shared memory
As we move to large manycores, the hardware-based global checkpointing schemes that have been proposed for small shared-memory machines do not scale. Scalability barriers include ...
Rishi Agarwal, Pranav Garg, Josep Torrellas
BMCBI
2011
12 years 11 months ago
Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation
Background: The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest ap...
Torbjørn Rognes
EUROSYS
2011
ACM
12 years 11 months ago
Finding complex concurrency bugs in large multi-threaded applications
Parallel software is increasingly necessary to take advantage of multi-core architectures, but it is also prone to concurrency bugs which are particularly hard to avoid, find, an...
Pedro Fonseca, Cheng Li, Rodrigo Rodrigues
TOG
2012
230views Communications» more  TOG 2012»
11 years 10 months ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
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