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» Analyzing CUDA workloads using a detailed GPU simulator
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IPPS
2000
IEEE
13 years 9 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
13 years 10 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 8 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 8 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