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» Parallelizing Functional Programs by Generalization
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ECOOP
2006
Springer
15 years 10 months ago
Demeter Interfaces: Adaptive Programming Without Surprises
Adaptive Programming (AP) allows for the separate definition of data structures and traversals with attached computations, performed during the traversal, that operate on these dat...
Therapon Skotiniotis, Jeffrey Palm, Karl J. Lieber...
340
Voted
ICS
2001
Tsinghua U.
15 years 10 months ago
Computer aided hand tuning (CAHT): "applying case-based reasoning to performance tuning"
For most parallel and high performance systems, tuning guides provide the users with advices to optimize the execution time of their programs. Execution time may be very sensitive...
Antoine Monsifrot, François Bodin
285
Voted
HIPC
2009
Springer
15 years 4 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
176
Voted
BMCBI
2010
128views more  BMCBI 2010»
15 years 6 months ago
VIGOR, an annotation program for small viral genomes
Background: The decrease in cost for sequencing and improvement in technologies has made it easier and more common for the re-sequencing of large genomes as well as parallel seque...
Shiliang Wang, Jaideep P. Sundaram, David Spiro
BCS
2008
15 years 7 months ago
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming
This paper describes a customisable processor designed to accelerate execution of inductive logic programming, targeting advanced field-programmable gate array (FPGA) technology. ...
Andreas Fidjeland, Wayne Luk, Stephen Muggleton