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PVM
2009
Springer
14 years 2 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Distributed Streaming via Packet Partitioning
We propose a system for adaptive streaming from multiple servers to a single receiver over separate network paths. Based on incoming packets, the receiver estimates the available ...
Jacob Chakareski, Pascal Frossard
ISCA
1999
IEEE
87views Hardware» more  ISCA 1999»
13 years 12 months ago
Memory Forwarding: Enabling Aggressive Layout Optimizations by Guaranteeing the Safety of Data Relocation
By optimizing data layout at run-time, we can potentially enhance the performance of caches by actively creating spatial locality, facilitating prefetching, and avoiding cache con...
Chi-Keung Luk, Todd C. Mowry
WSCG
2004
138views more  WSCG 2004»
13 years 9 months ago
Efficient Clothing Fitting from Data
A major drawback of shopping for clothes on-line is that the customer cannot try on clothes and see if they fit or suit them. One solution is to display clothing on an avatar, a 3...
Marco Gillies, Daniel Ballin, Balázs Csan&a...
SIAMJO
2002
122views more  SIAMJO 2002»
13 years 7 months ago
Robust Filtering via Semidefinite Programming with Applications to Target Tracking
In this paper we propose a novel finite-horizon, discrete-time, time-varying filtering method based on the robust semidefinite programming (SDP) technique. The proposed method prov...
Lingjie Li, Zhi-Quan Luo, Timothy N. Davidson, Kon...