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ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
SIGMOD
2011
ACM
267views Database» more  SIGMOD 2011»
12 years 10 months ago
A latency and fault-tolerance optimizer for online parallel query plans
We address the problem of making online, parallel query plans fault-tolerant: i.e., provide intra-query fault-tolerance without blocking. We develop an approach that not only achi...
Prasang Upadhyaya, YongChul Kwon, Magdalena Balazi...
EUROPAR
2007
Springer
14 years 1 months ago
TAUoverSupermon : Low-Overhead Online Parallel Performance Monitoring
Online application performance monitoring allows tracking performance characteristics during execution as opposed to doing so post-mortem. This opens up several possibilities other...
Aroon Nataraj, Matthew J. Sottile, Alan Morris, Al...
CVPR
2010
IEEE
14 years 3 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
CC
2012
Springer
243views System Software» more  CC 2012»
12 years 3 months ago
Sambamba: A Runtime System for Online Adaptive Parallelization
Abstract. How can we exploit a microprocessor as efficiently as possible? The “classic” approach is static optimization at compile-time, optimizing a program for all possible u...
Kevin Streit, Clemens Hammacher, Andreas Zeller, S...