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HPCA
1996
IEEE
15 years 8 months ago
Co-Scheduling Hardware and Software Pipelines
Exploiting instruction-level parallelism (ILP) is extremely important for achieving high performance in application specific instruction set processors (ASIPs) and embedded process...
Ramaswamy Govindarajan, Erik R. Altman, Guang R. G...
133
Voted
IPPS
1999
IEEE
15 years 8 months ago
The MuSE System: A Flexible Combination of On-Stack Execution and Work-Stealing
Executing subordinate activities by pushing return addresses on the stack is the most e cient working mode for sequential programs. It is supported by all current processors, yet i...
Markus Leberecht
ICPP
2005
IEEE
15 years 9 months ago
Two-Tier Resource Allocation for Slowdown Differentiation on Server Clusters
Slowdown, defined as the ratio of a request’s queueing delay to its service time, is accepted as an important quality of service metric of Internet servers. In this paper, we i...
Xiaobo Zhou, Yu Cai, C. Edward Chow, Marijke F. Au...
SPDP
1991
IEEE
15 years 7 months ago
A decentralized task scheduling algorithm and its performance modeling for computer networks
A dynamic taskschedulingalgorithm,that isstable,decentralized,and adaptivetonetwork topology,ispresented. Theproposedalgorithmisanextensionofnearestneighbor loadbalancingstrategyw...
Ishfaq Ahmad, Arif Ghafoor, Kishan G. Mehrotra
131
Voted
IPPS
2007
IEEE
15 years 10 months ago
Mobility of Data in Distributed Hybrid Computing Systems
In distributed hybrid computing systems, traditional sequential processors are loosely coupled with reconfigurable hardware for optimal performance. This loose coupling proves to...
Philippe Faes, Mark Christiaens, Dirk Stroobandt