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Dynamic program parallelization
ACM SIGPLAN Lisp Pointers, 1992Static program analysis limits the performance improvements possible from compile-time parallelization. Dynamic program parallelization shifts a portion of the analysis from complie-time to run-time, thereby enabling optimizations whose static detection is overly expensive or impossible. Lambda tagging
Lorenz Huelsbergen, James R. Larus
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The dynamic behavior of programs
Proceedings of the December 9-11, 1968, fall joint computer conference, part II on - AFIPS '68 (Fall, part II), 1968A computer system consists of several resources for which users' programs are competing: CPU time, primary and secondary storage and Input-Output devices. More and more computer systems, which are being marketed currently, allow for resource sharing among several jobs, in order to obtain a better utilization of all available equipment, or to provide ...
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Information Processing Letters, 1988
A dynamic program slice is an executable subset of the original program that produces the same computations on a subset of selected variables and inputs. It differs from the static slice [\textit{M. Weiser}, IEEE Trans. Software Eng. SE-10, 352-357 (1984; Zbl 0552.68004)] in that it is entirely defined on the basis of a computation.
Bogdan Korel, Janusz W. Laski
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A dynamic program slice is an executable subset of the original program that produces the same computations on a subset of selected variables and inputs. It differs from the static slice [\textit{M. Weiser}, IEEE Trans. Software Eng. SE-10, 352-357 (1984; Zbl 0552.68004)] in that it is entirely defined on the basis of a computation.
Bogdan Korel, Janusz W. Laski
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1997
In this paper we outline the derivation of a hybrid Hamilton-Jacobi-Bellman equation for our Multiple Agent Hybrid Control Architecture (MACHA) [5, 4] and a hybrid system dynamic progamming methodology.
Wolf Kohn, Jeffrey B. Remmel
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In this paper we outline the derivation of a hybrid Hamilton-Jacobi-Bellman equation for our Multiple Agent Hybrid Control Architecture (MACHA) [5, 4] and a hybrid system dynamic progamming methodology.
Wolf Kohn, Jeffrey B. Remmel
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1989
We are pleading for system builders to pay attention to the experience of so many novice users, and help in the provision of a problem solving environment if it is not possible to provide automatic improvements. The difficulty of using algebra systems is not just because of bad design, but is intrinsic to them.
P. D. Pearce, John P. Fitch
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We are pleading for system builders to pay attention to the experience of so many novice users, and help in the provision of a problem solving environment if it is not possible to provide automatic improvements. The difficulty of using algebra systems is not just because of bad design, but is intrinsic to them.
P. D. Pearce, John P. Fitch
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Management Science, 1975
Numerically valued reward processes are found in most dynamic programming models. Mitten, however, recently formulated finite horizon sequential decision processes in which a real-valued reward need not be earned at each stage. Instead of the cardinality assumption implicit in past models, Mitten assumes that a decision maker has a preference order ...
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Numerically valued reward processes are found in most dynamic programming models. Mitten, however, recently formulated finite horizon sequential decision processes in which a real-valued reward need not be earned at each stage. Instead of the cardinality assumption implicit in past models, Mitten assumes that a decision maker has a preference order ...
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SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming
INFORMS Journal on Computing, 2021OSCAR Dowson, Lea Kapelevich
exaly
Dynamic Choice Theory and Dynamic Programming
Econometrica, 1979Kreps, David M, Porteus, Evan L
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PDP: parallel dynamic programming
IEEE/CAA Journal of Automatica Sinica, 2017Fei-Yue Wang +2 more
exaly