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AI
2011
Springer
12 years 11 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
JPDC
2011
137views more  JPDC 2011»
12 years 10 months ago
Transparent runtime parallelization of the R scripting language
Scripting languages such as R and Matlab are widely used in scientific data processing. As the data volume and the complexity of analysis tasks both grow, sequential data process...
Jiangtian Li, Xiaosong Ma, Srikanth B. Yoginath, G...
MICRO
2010
IEEE
215views Hardware» more  MICRO 2010»
13 years 6 months ago
A Task-Centric Memory Model for Scalable Accelerator Architectures
This paper presents a task-centric memory model for 1000-core compute accelerators. Visual computing applications are emerging as an important class of workloads that can exploit ...
John H. Kelm, Daniel R. Johnson, Steven S. Lumetta...
IPPS
2008
IEEE
14 years 2 months ago
Accurately measuring collective operations at massive scale
Accurate, reproducible and comparable measurement of collective operations is a complicated task. Although Different measurement schemes are implemented in wellknown benchmarks, m...
Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
IPPS
2007
IEEE
14 years 1 months ago
A Model-Driven Approach to Job/Task Composition in Cluster Computing
In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel ...
Neeraj Mehta, Yogesh Kanitkar, Konstantin Läu...