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ASPLOS
1996
ACM
13 years 11 months ago
Shasta: A Low Overhead, Software-Only Approach for Supporting Fine-Grain Shared Memory
This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compa...
Daniel J. Scales, Kourosh Gharachorloo, Chandramoh...
ICFP
2008
ACM
14 years 6 months ago
A scheduling framework for general-purpose parallel languages
The trend in microprocessor design toward multicore and manycore processors means that future performance gains in software will largely come from harnessing parallelism. To reali...
Matthew Fluet, Mike Rainey, John H. Reppy
CORR
2011
Springer
181views Education» more  CORR 2011»
12 years 10 months ago
Garbage Collection for Multicore NUMA Machines
Modern high-end machines feature multiple processor packages, each of which contains multiple independent cores and integrated memory controllers connected directly to dedicated p...
Sven Auhagen, Lars Bergstrom, Matthew Fluet, John ...
PVG
2003
IEEE
138views Visualization» more  PVG 2003»
13 years 12 months ago
Sort-First, Distributed Memory Parallel Visualization and Rendering
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpos...
E. Wes Bethel, Greg Humphreys, Brian E. Paul, J. D...
ICPP
1998
IEEE
13 years 11 months ago
Supporting Software Distributed Shared Memory with an Optimizing Compiler
To execute a shared memory program efficiently, we have to manage memory consistency with low overheads, and have to utilize communication bandwidth of the platform as much as pos...
Tatsushi Inagaki, Junpei Niwa, Takashi Matsumoto, ...