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» Analyzing CUDA workloads using a detailed GPU simulator
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IPPS
2000
IEEE
13 years 12 months ago
Buffered Coscheduling: A New Methodology for Multitasking Parallel Jobs on Distributed Systems
Buffered coscheduling is a scheduling methodology for time-sharing communicating processes in parallel and distributed systems. The methodology has two primary features: communica...
Fabrizio Petrini, Wu-chun Feng
RTSS
2007
IEEE
14 years 1 months ago
ANDES: An ANalysis-Based DEsign Tool for Wireless Sensor Networks
— We have developed an analysis-based design tool, ANDES, for modeling a wireless sensor network system and analyzing its performance before deployment. ANDES enables designers t...
Vibha Prasad, Ting Yan, Praveen Jayachandran, Zeng...
IPPS
1998
IEEE
13 years 11 months ago
Configuration Independent Analysis for Characterizing Shared-Memory Applications
Characterizing shared-memory applications provides insight to design efficient systems, and provides awareness to identify and correct application performance bottlenecks. Configu...
Gheith A. Abandah, Edward S. Davidson
LCN
1994
IEEE
13 years 11 months ago
The Ethernet Capture Effect: Analysis and Solution
We analyze the behavior of the Ethernet in networks with a small number of active stations, and describe what is known as the Ethernet capture effect, where a station transmits co...
K. K. Ramakrishnan, Henry Yang