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» Compiling SA-C Programs to FPGAs: Performance Results
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ASPLOS
2006
ACM
15 years 10 months ago
Accelerator: using data parallelism to program GPUs for general-purpose uses
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
David Tarditi, Sidd Puri, Jose Oglesby
ASPLOS
2006
ACM
15 years 10 months ago
Tartan: evaluating spatial computation for whole program execution
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kernels. In this paper we explore the feasibility of using SC for more than small k...
Mahim Mishra, Timothy J. Callahan, Tiberiu Chelcea...
HIPEAC
2005
Springer
15 years 9 months ago
A Practical Method for Quickly Evaluating Program Optimizations
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a s...
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyl...
EMSOFT
2005
Springer
15 years 9 months ago
A sink-n-hoist framework for leakage power reduction
Power leakage constitutes an increasing fraction of the total power consumption in modern semiconductor technologies. Recent research efforts have tried to integrate architecture...
Yi-Ping You, Chung-Wen Huang, Jenq Kuen Lee
IPPS
2009
IEEE
15 years 11 months ago
Scalable RDMA performance in PGAS languages
Partitioned Global Address Space (PGAS) languages provide a unique programming model that can span shared-memory multiprocessor (SMP) architectures, distributed memory machines, o...
Montse Farreras, George Almási, Calin Casca...