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检索条件"任意字段=Proceedings of the twelfth annual ACM symposium on Parallel algorithms and architectures"
365 条 记 录,以下是311-320 订阅
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A randomized parallel algorithm for planar graph isomorphism  90
A randomized parallel algorithm for planar graph isomorphism
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proceedings of the second annual acm symposium on parallel algorithms and architectures
作者: H. Gazit J. Reif Department of Computer Science Duke University Durham NC
来源: 评论
Towards soft optimization techniques for parallel cognitive applications  07
Towards soft optimization techniques for parallel cognitive ...
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proceedings of the nineteenth annual acm symposium on parallel algorithms and architectures
作者: Woongki Baek JaeWoong Chung Chi Cao Minh Christos Kozyrakis Kunle Olukotun Stanford University Stanford CA
No abstract available.
来源: 评论
parallel least-squares solution of general and Toeplitz systems  90
Parallel least-squares solution of general and Toeplitz syst...
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proceedings of the second annual acm symposium on parallel algorithms and architectures
作者: V. Pan Department of Mathematics and Computer Science Lehman College CUNY Bronx NY and Department of Computer Science SUNYA Albany NY
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Pursuit and evasion on a ring: An infinite hierarchy for parallel real—time systems  01
Pursuit and evasion on a ring: An infinite hierarchy for par...
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proceedings of the thirteenth annual acm symposium on parallel algorithms and architectures
作者: Stefan D. Bruda Selim G. Akl Department of Computing and Information Science Queen's University Kingston Ontario K7L 3N6 Canada
No abstract available.
来源: 评论
Making sparse matrix computations scalable
Annual ACM Symposium on Parallel Algorithms and Architecture...
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annual acm symposium on parallel algorithms and architectures 1999年 1-1页
作者: Demmel, Jim Univ of California Berkeley United States
Sparse matrix computations are ubiquitous in science and engineering. In particular, solving a sparse linear system of equations is the bottleneck in many computations. Of the many available algorithms, some are easy ... 详细信息
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parallel algorithms for personalized communication and sorting with an experimental study (extended abstract)  96
Parallel algorithms for personalized communication and sorti...
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proceedings of the eighth annual acm symposium on parallel algorithms and architectures
作者: David R. Helman David A. Bader Joseph JáJá Institute for Advanced Computer Studies and Department of Electrical Engineering University of Maryland College Park MD
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Drop the Anchor: Lightweight Memory Management for Non-Blocking Data Structures  13
Drop the Anchor: Lightweight Memory Management for Non-Block...
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annual acm symposium on parallel algorithms and architectures
作者: Anastasia Braginsky Alex Kogan Erez Petrank Computer Science Technion Oracle Labs
Efficient memory management of dynamic non-blocking data structures remains an important open question. Existing methods either sacrifice the ability to deallocate objects or reduce performance notably. In this paper,... 详细信息
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Selecting tile shape for minimal execution time
Annual ACM Symposium on Parallel Algorithms and Architecture...
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annual acm symposium on parallel algorithms and architectures 1999年 201-211页
作者: Hogstedt, Karin Carter, Larry Ferrante, Jeanne Univ of California at San Diego La Jolla CA United States
Many computationally-intensive programs, such as those for differential equations, spatial interpolation, and dynamic programming, spend a large portion of their execution time in multiply-nested loops which have a re... 详细信息
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A unified approach to off-line permutation routing on parallel networks  90
A unified approach to off-line permutation routing on parall...
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proceedings of the second annual acm symposium on parallel algorithms and architectures
作者: F. Annexstein M. Baumslag COINS Department University of Massachusetts Amherst Ma
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The FG programming environment: good and good for you  06
The FG programming environment: good and good for you
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proceedings of the eighteenth annual acm symposium on parallelism in algorithms and architectures
作者: Elena Riccio Davidson Dartmouth College
No abstract available.
来源: 评论