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» Blind Optimization for Exploiting Hardware Features
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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
CF
2009
ACM
14 years 2 months ago
Core monitors: monitoring performance in multicore processors
As we reach the limits of single-core computing, we are promised more and more cores in our systems. Modern architectures include many performance counters per core, but few or no...
Paul E. West, Yuval Peress, Gary S. Tyson, Sally A...
PVLDB
2010
204views more  PVLDB 2010»
13 years 5 months ago
Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
Songting Chen
IEEEPACT
2005
IEEE
14 years 1 months ago
HUNTing the Overlap
Hiding communication latency is an important optimization for parallel programs. Programmers or compilers achieve this by using non-blocking communication primitives and overlappi...
Costin Iancu, Parry Husbands, Paul Hargrove
IWMM
2004
Springer
98views Hardware» more  IWMM 2004»
14 years 25 days ago
Dynamic object sampling for pretenuring
Many state-of-the-art garbage collectors are generational, collecting the young nursery objects more frequently than old objects. These collectors perform well because young objec...
Maria Jump, Stephen M. Blackburn, Kathryn S. McKin...