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CORR
2007
Springer
130views Education» more  CORR 2007»
14 years 10 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...
99
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ISHPC
1999
Springer
15 years 2 months ago
Instruction-Level Microprocessor Modeling of Scientific Applications
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
Kirk W. Cameron, Yong Luo, James Scharzmeier
PPPJ
2009
ACM
15 years 5 months ago
Automatic parallelization for graphics processing units
Accelerated graphics cards, or Graphics Processing Units (GPUs), have become ubiquitous in recent years. On the right kinds of problems, GPUs greatly surpass CPUs in terms of raw ...
Alan Leung, Ondrej Lhoták, Ghulam Lashari
ISCA
2010
IEEE
222views Hardware» more  ISCA 2010»
15 years 4 days ago
Cohesion: a hybrid memory model for accelerators
Two broad classes of memory models are available today: models with hardware cache coherence, used in conventional chip multiprocessors, and models that rely upon software to mana...
John H. Kelm, Daniel R. Johnson, William Tuohy, St...
CCGRID
2010
IEEE
14 years 11 months ago
Designing Accelerator-Based Distributed Systems for High Performance
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...