Parallel Processing of Discrete Optimization Problems: DIMACS Workshop, April 28-29, 1994

Pirmais vāks
Panos M. Pardalos, Mauricio G. C. Resende, K. G. Ramakrishnan
American Mathematical Soc., 1995. gada 1. janv. - 374 lappuses
This book contains papers presented at the Workshop on Parallel Processing of Discrete Optimization Problems held at DIMACS in April 1994. The contents cover a wide spectrum of the most recent algorithms and applications in parallel processing of discrete optimization and related problems. Topics include parallel branch and bound algorithms, scalability, load balancing, parallelism and irregular data structures and scheduling task graphs on parallel machines. Applications include parallel algorithms for solving satisfiability problems, location problems, linear programming, quadratic and linear assignment problems. This book would be suitable as a textbook in advanced courses on parallel algorithms and combinatorial optimization.

No grāmatas satura

Atlasītās lappuses

Saturs

A Note on Parallel Randomized Algorithms for Searching Problems
33
Modeling Parallel BranchandBound for Asynchronous Implementations
45
A Data Parallel Space Dilation Algorithm for the Concentrator Location
57
A Multistage Approach for Scheduling Task Graphs on Parallel Machines
81
Parallel Algorithms for Satisfiability SAT Problem
105
Experiences with a Parallel Formulation of an Interior Point Algorithm
163
Experiences with a Synchronous Parallel Branch and Bound Algorithm
181
New Anticipatory Load Balancing Strategies for Parallel A Algorithms
197
A Parallel Algorithm for Computing all Homomorphisms of Deterministic
233
Query Optimization and Processing in Parallel Databases
259
Scheduling Acyclic Task Graphs on Distributed Memory Parallel
289
Scalability of Massively Parallel DepthFirst Search
305
On Irregular Data Structures and Asynchronous Parallel Branch and Bound
323
Parallel Algorithms for the Assignment ProblemAn Experimental
337
Serial Parallel Algorithms for QSP Problems
353
Autortiesības

Citi izdevumi - Skatīt visu

Bieži izmantoti vārdi un frāzes

Populāri fragmenti

147. lappuse - The solution to the SAT problem corresponds to a set of global minimum points of the object function.
46. lappuse - Conceptually, each operation locks the entire object it is applied to and releases the lock only when it is finished. To be more precise, the model guarantees serializability [Eswaran et al. 1976] of operation invocations: if two operations are applied simultaneously to the same data-object, then the result is as if one of them is executed before the other; the order of invocation, however, is nondeterministic. An implementation of the model need not actually execute all operations one by one. To...
32. lappuse - TE Anderson. The performance of spin lock alternatives for shared-memory multiprocessors. IEEE Transactions on Parallel and Distributed Systems, 1(1):6-16, Jan.
153. lappuse - A'r represents the set of output neurons. The connection weights and coupling coefficients are updated step by step proportional to the opposite direction of the error gradient respectively (13.5) - - -9EW (t3.6) ,k where i?I and n2 are the learning rates.
81. lappuse - The content of the information herein does not necessarily reflect the position of the Government and official endorsement should not be inferred.
92. lappuse - Fig. 16(c) an ordering algorithm is needed to order the tasks in the nonlinear cluster and then the parallel time must be computed to get the new DS. One of the key ideas in the DSC algorithm is that it computes the schedule and parallel time incrementally from one step to the next in O(logv) time. Thus the total complexity is O((v + e)logt>).

Bibliogrāfiskā informācija