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» Parallelizing Functional Programs by Generalization
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ICFP
2005
ACM
15 years 9 months ago
Scrap your nameplate: (functional pearl)
Recent research has shown how boilerplate code, or repetitive code for traversing datatypes, can be eliminated using generic programming techniques already available within some i...
James Cheney
CCGRID
2006
IEEE
15 years 3 months ago
How the JSDL can Exploit the Parallelism?
The description of the jobs is a very important issue for the scheduling and management of Grid jobs. Since there are a lot of different languages for describing Grid jobs, the GG...
Ivan Rodero, Francesc Guim, Julita Corbalán...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 3 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
SIAMJO
2008
85views more  SIAMJO 2008»
14 years 9 months ago
Explicit Reformulations for Robust Optimization Problems with General Uncertainty Sets
We consider a rather general class of mathematical programming problems with data uncertainty, where the uncertainty set is represented by a system of convex inequalities. We prove...
Igor Averbakh, Yun-Bin Zhao
CASES
2009
ACM
15 years 4 months ago
Optimal loop parallelization for maximizing iteration-level parallelism
This paper solves the open problem of extracting the maximal number of iterations from a loop that can be executed in parallel on chip multiprocessors. Our algorithm solves it opt...
Duo Liu, Zili Shao, Meng Wang, Minyi Guo, Jingling...