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» Shared memory programming for large scale machines
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JMLR
2006
156views more  JMLR 2006»
15 years 12 days ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
EGPGV
2004
Springer
153views Visualization» more  EGPGV 2004»
15 years 5 months ago
Memory-Savvy Distributed Interactive Ray Tracing
Interactive ray tracing in a cluster environment requires paying close attention to the constraints of a loosely coupled distributed system. To render large scenes interactively, ...
David E. DeMarle, Christiaan P. Gribble, Steven G....
116
Voted
SOSP
1997
ACM
15 years 1 months ago
Towards Transparent and Efficient Software Distributed Shared Memory
Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...
Daniel J. Scales, Kourosh Gharachorloo
ICCS
2007
Springer
15 years 6 months ago
Automatic Memory Access Analysis with Periscope
Periscope is a distributed automatic online performance analysis system for large scale parallel systems. It consists of a set of analysis agents distributed on the parallel machin...
Michael Gerndt, Edmond Kereku
104
Voted
ISCA
1990
IEEE
186views Hardware» more  ISCA 1990»
15 years 4 months ago
Adaptive Software Cache Management for Distributed Shared Memory Architectures
An adaptive cache coherence mechanism exploits semantic information about the expected or observed access behavior of particular data objects. We contend that, in distributed shar...
John K. Bennett, John B. Carter, Willy Zwaenepoel