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» Reducing Memory Sharing Overheads in Distributed JVMs
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ICPP
1999
IEEE
13 years 12 months ago
Efficient Techniques for Distributed Implementation of Search-Based AI Systems
We study the problem of exploiting parallelism from search-based AI systems on distributed machines. We propose stack-splitting, a technique for implementing orparallelism, which ...
Gopal Gupta, Enrico Pontelli
PDCAT
2005
Springer
14 years 1 months ago
Performance Comparison between VOPP and MPI
View-Oriented Parallel Programming is based on Distributed Shared Memory which is friendly and easy for programmers to use. It requires the programmer to divide shared data into v...
Zhiyi Huang, Martin K. Purvis, Paul Werstein
ASPLOS
2012
ACM
12 years 3 months ago
Aikido: accelerating shared data dynamic analyses
Despite a burgeoning demand for parallel programs, the tools available to developers working on shared-memory multicore processors have lagged behind. One reason for this is the l...
Marek Olszewski, Qin Zhao, David Koh, Jason Ansel,...
ISCA
1994
IEEE
129views Hardware» more  ISCA 1994»
13 years 11 months ago
Software Versus Hardware Shared-Memory Implementation: A Case Study
We comparethe performance of software-supported shared memory on a general-purpose network to hardware-supported shared memory on a dedicated interconnect. Up to eight processors,...
Alan L. Cox, Sandhya Dwarkadas, Peter J. Keleher, ...
VEE
2009
ACM
240views Virtualization» more  VEE 2009»
14 years 2 months ago
Memory buddies: exploiting page sharing for smart colocation in virtualized data centers
Many data center virtualization solutions, such as VMware ESX, employ content-based page sharing to consolidate the resources of multiple servers. Page sharing identifies virtual...
Timothy Wood, Gabriel Tarasuk-Levin, Prashant J. S...