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PVM
2009
Springer
15 years 8 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»
15 years 7 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»
15 years 5 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»
15 years 2 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»
15 years 1 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...