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» Parallel Application Signature for Performance Prediction
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ICCAD
2007
IEEE
113views Hardware» more  ICCAD 2007»
15 years 4 months ago
The FAST methodology for high-speed SoC/computer simulation
— This paper describes the FAST methodology that enables a single FPGA to accelerate the performance of cycle-accurate computer system simulators modeling modern, realistic SoCs,...
Derek Chiou, Dam Sunwoo, Joonsoo Kim, Nikhil A. Pa...
HPDC
2006
IEEE
15 years 3 months ago
ALPS: An Application-Level Proportional-Share Scheduler
ALPS is a per-application user-level proportional-share scheduler that operates with low overhead and without any special kernel support. ALPS is useful to a range of applications...
Travis Newhouse, Joseph Pasquale
ISHPC
1999
Springer
15 years 2 months ago
Instruction-Level Microprocessor Modeling of Scientific Applications
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
Kirk W. Cameron, Yong Luo, James Scharzmeier
ICPADS
1998
IEEE
15 years 2 months ago
Symbolic Partitioning and Scheduling of Parameterized Task Graphs
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
CCGRID
2005
IEEE
15 years 3 months ago
Fast pattern-based throughput prediction for TCP bulk transfers
The ability to quickly predict the throughput of a TCP transfer between a client and a server, or between peers, has wide application in scientific computing and commercial compu...
Tsung-i Huang, Jaspal Subhlok