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» A Machine Model for Aspect-Oriented Programming
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IJMTM
2011
190views more  IJMTM 2011»
14 years 10 months ago
Exact and heuristic approaches for lot splitting and scheduling on identical parallel machines
: In this paper, we address a lot splitting and scheduling problem existent in a textile factory. The factory we study produces a set of products that are made of, or assembled fro...
Carina Pimentel, Filipe Pereira Alvelos, Antonio D...
PPOPP
2009
ACM
16 years 4 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
JMLR
2006
80views more  JMLR 2006»
15 years 3 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
111
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TACAS
2005
Springer
115views Algorithms» more  TACAS 2005»
15 years 9 months ago
On-the-Fly Reachability and Cycle Detection for Recursive State Machines
Searching the state space of a system using enumerative and on-the-fly depth-first traversal is an established technique for model checking finite-state systems. In this paper, ...
Rajeev Alur, Swarat Chaudhuri, Kousha Etessami, P....
POPL
1996
ACM
15 years 7 months ago
From Region Inference to von Neumann Machines via Region Representation Inference
Region Inference is a technique for implementing programming languages that are based on typed call-by-value lambda calculus, such as Standard ML. The mathematical runtime model o...
Lars Birkedal, Mads Tofte, Magnus Vejlstrup