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» Reducing Memory Sharing Overheads in Distributed JVMs
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IPPS
1999
IEEE
13 years 12 months ago
Cascaded Execution: Speeding Up Unparallelized Execution on Shared-Memory Multiprocessors
Both inherently sequential code and limitations of analysis techniques prevent full parallelization of many applications by parallelizing compilers. Amdahl's Law tells us tha...
Ruth E. Anderson, Thu D. Nguyen, John Zahorjan
JSSPP
1997
Springer
13 years 11 months ago
An Experimental Evaluation of Processor Pool-Based Scheduling for Shared-Memory NUMA Multiprocessors
In this paper we describe the design, implementation and experimental evaluation of a technique for operating system schedulers called processor pool-based scheduling [51]. Our tec...
Tim Brecht
CLUSTER
2008
IEEE
13 years 9 months ago
Efficient one-copy MPI shared memory communication in Virtual Machines
Efficient intra-node shared memory communication is important for High Performance Computing (HPC), especially with the emergence of multi-core architectures. As clusters continue ...
Wei Huang, Matthew J. Koop, Dhabaleswar K. Panda
IPPS
2010
IEEE
13 years 5 months ago
MMT: Exploiting fine-grained parallelism in dynamic memory management
Dynamic memory management is one of the most expensive but ubiquitous operations in many C/C++ applications. Additional features such as security checks, while desirable, further w...
Devesh Tiwari, Sanghoon Lee, James Tuck, Yan Solih...
JAVA
2001
Springer
13 years 12 months ago
Runtime optimizations for a Java DSM implementation
Jackal is a fine-grained distributed shared memory implementation of the Java programming language. Jackal implements Java’s memory model and allows multithreaded Java programs...
Ronald Veldema, Rutger F. H. Hofman, Raoul Bhoedja...