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» BlueGene L applications: Parallelism On a Massive Scale
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ICML
2009
IEEE
14 years 8 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
ICDM
2010
IEEE
189views Data Mining» more  ICDM 2010»
13 years 5 months ago
S4: Distributed Stream Computing Platform
Abstract--S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continu...
Leonardo Neumeyer, Bruce Robbins, Anish Nair, Anan...
AES
2006
Springer
106views Cryptology» more  AES 2006»
13 years 7 months ago
A grid-enabled problem solving environment for parallel computational engineering design
This paper describes the development and application of a piece of engineering software that provides a Problem Solving Environment (PSE) capable of launching, and interfacing wit...
C. E. Goodyer, Martin Berzins, Peter K. Jimack, L....
PPOPP
1995
ACM
13 years 11 months ago
High Performance Synchronization Algorithms for Multiprogrammed Multiprocessors
Scalable busy-wait synchronization algorithms are essential for achieving good parallel program performance on large scale multiprocessors. Such algorithms include mutual exclusio...
Robert W. Wisniewski, Leonidas I. Kontothanassis, ...
EUROSYS
2007
ACM
13 years 9 months ago
Enabling scalability and performance in a large scale CMP environment
Hardware trends suggest that large-scale CMP architectures, with tens to hundreds of processing cores on a single piece of silicon, are iminent within the next decade. While exist...
Bratin Saha, Ali-Reza Adl-Tabatabai, Anwar M. Ghul...