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» New Challenges in Parallel Optimization
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SSDBM
2010
IEEE
153views Database» more  SSDBM 2010»
14 years 1 months ago
Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...
VLSID
2009
IEEE
108views VLSI» more  VLSID 2009»
14 years 8 months ago
Metric Based Multi-Timescale Control for Reducing Power in Embedded Systems
Abstract--Digital control for embedded systems often requires low-power, hard real-time computation to satisfy high control-loop bandwidth, low latency, and low-power requirements....
Forrest Brewer, João Pedro Hespanha, Nitin ...
ICS
1997
Tsinghua U.
14 years 8 days ago
Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...
ASIACRYPT
2004
Springer
14 years 1 months ago
Masking Based Domain Extenders for UOWHFs: Bounds and Constructions
We study the class of masking based domain extenders for UOWHFs. Our first contribution is to show that any correct masking based domain extender for UOWHF which invokes the compr...
Palash Sarkar
JGO
2010
117views more  JGO 2010»
13 years 6 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu