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Poetry > Parallelism
The following information is about Parallelism.
Parallelism Defined
The repetition of syntactical similarities in passages closely connected for rhetorical effect, as in Pope's An Epistle to Dr. Arbuthnot:
Happy my studies, when by these approved!
Happier their author, when by these beloved!
The repetitive structure, which is commonly used in elevated prose as well as poetry, lends wit or emphasis to the meanings of the separate clauses, thus being particularly effective in antithesis.
Sidelight: Sometimes the use of parallel structures is extended throughout an entire poem.
(Compare Anadiplosis, Anaphora, Echo, Epistrophe, Epizeuxis,
Incremental Repetition, Polysyndeton, Refrain, Stornello Verses)
This definition is in context to Poetry. See more contextual defintions for Parallelism.
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Off-site Parallelism Links, User Submitted
The following links have been collected through user bookmark submission in the Parallelism category. Please note, because these resources are off-site we cannot guarantee the accuracy or quality of any information.
Fri Jan 9
- Mailund on the Internet " Blog Archive " SPRINT: A new parallel framework for R
- Joe Duffy's Weblog - Some performance impliciations of CAS operations
- Want Erlang concurrency but are stuck with Java: 4 Alternatives (+1) | Code Monkeyism
- Scaling in Games & Virtual Worlds - ACM Queue
- Dr. Dobb's | CUDA, Supercomputing for the Masses: Part 1 | April 15, 2008
Thu Jan 8
- GPU Kernels as Data-Parallel Array Computations in Haskell [DRAFT]: Abstract. We present a novel high-level parallel programming model aimed at graphics processing units (GPUs). We embed GPU kernels as data-parallel array computations in the purely functional language Haskell. GPU and CPU computations can be freely interleaved with the type system tracking the two dierent modes of computation. The embedded language of array computations is suciently limited that our system can automatically extract these computations and compile them to ecient GPU code. In this paper, we outline our approach and present the results of a few preliminary benchmarks.
- Fabulous Adventures In Coding : Arrays considered somewhat harmful
- plactorkit - Google Code
- The Landscape of Parallel Computing Research: A View From Berkeley - View
Wed Jan 7
- Research Papers of Manuel Chakravarty: We present a novel high-level parallel programming model aimed at graphics processing units (GPUs). We embed GPU kernels as data-parallel array computations in the purely functional language Haskell. GPU and CPU computations can be freely interleaved with the type system tracking the two different modes of computation. The embedded language of array computations is sufficiently limited that our system can automatically extract these computations and compile them to efficient GPU code. In this paper, we outline our approach and present the results of a few preliminary benchmarks.
If you would like to find additional social bookmark based links on the topic of we recommend the Open Tag Directory > Parallelism. If you would like to find related tags we recommend Tag Patterns > Parallelism
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