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» Structured Sparsity in Structured Prediction
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PVLDB
2008
138views more  PVLDB 2008»
13 years 7 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 3 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
CODES
2007
IEEE
14 years 2 months ago
Compile-time decided instruction cache locking using worst-case execution paths
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
Heiko Falk, Sascha Plazar, Henrik Theiling
MICRO
2005
IEEE
114views Hardware» more  MICRO 2005»
14 years 1 months ago
Address-Indexed Memory Disambiguation and Store-to-Load Forwarding
This paper describes a scalable, low-complexity alternative to the conventional load/store queue (LSQ) for superscalar processors that execute load and store instructions speculat...
Sam S. Stone, Kevin M. Woley, Matthew I. Frank
MICRO
2002
IEEE
131views Hardware» more  MICRO 2002»
14 years 1 months ago
Pointer cache assisted prefetching
Data prefetching effectively reduces the negative effects of long load latencies on the performance of modern processors. Hardware prefetchers employ hardware structures to predic...
Jamison D. Collins, Suleyman Sair, Brad Calder, De...