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» A Balanced Approach to Application Performance Tuning
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ISPASS
2009
IEEE
15 years 4 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
84
Voted
SC
1995
ACM
15 years 1 months ago
Predicting Application Behavior in Large Scale Shared-memory Multiprocessors
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Karim Harzallah, Kenneth C. Sevcik
109
Voted
TCSV
2010
14 years 4 months ago
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
Abstract--Real-time stereo vision is attractive in many applications like robot navigation and 3D scene reconstruction. Data parallel platforms, e.g. GPU, is often used for real-ti...
Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Ho...
CF
2005
ACM
14 years 11 months ago
SPANIDS: a scalable network intrusion detection loadbalancer
Network intrusion detection systems (NIDS) are becoming an increasingly important security measure. With rapidly increasing network speeds, the capacity of the NIDS sensor can lim...
Lambert Schaelicke, Kyle Wheeler, Curt Freeland
88
Voted
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
15 years 3 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader