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» Automatic parallelization for graphics processing units
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2009
ACM
14 years 17 days ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
MICRO
2009
IEEE
147views Hardware» more  MICRO 2009»
14 years 13 days ago
Complexity effective memory access scheduling for many-core accelerator architectures
Modern DRAM systems rely on memory controllers that employ out-of-order scheduling to maximize row access locality and bank-level parallelism, which in turn maximizes DRAM bandwid...
George L. Yuan, Ali Bakhoda, Tor M. Aamodt
JCC
2010
113views more  JCC 2010»
13 years 4 months ago
MDLab: A molecular dynamics simulation prototyping environment
Molecular dynamics (MD) simulation involves solving Newton’s equations of motion for a system of atoms, by calculating forces and updating atomic positions and velocities over a...
Trevor M. Cickovski, Santanu Chatterjee, Jacob Wen...
CLUSTER
2011
IEEE
12 years 5 months ago
Performance Characterization and Optimization of Atomic Operations on AMD GPUs
—Atomic operations are important building blocks in supporting general-purpose computing on graphics processing units (GPUs). For instance, they can be used to coordinate executi...
Marwa Elteir, Heshan Lin, Wu-chun Feng
ISPASS
2010
IEEE
14 years 20 days ago
Visualizing complex dynamics in many-core accelerator architectures
—While many-core accelerator architectures, such as today’s Graphics Processing Units (GPUs), offer orders of magnitude more raw computing power than contemporary CPUs, their m...
Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, ...