parallel algorithm in a sentence
1) Understanding data dependencies is fundamental in implementing parallel algorithms .
algorithm collocations
2) However, very few parallel algorithms achieve optimal speed-up.
3) Of particular importance are communications delays, since parallel algorithms must communicate frequently.
parallel algorithm example sentences
4) Research has also considered parallel algorithms for the minimum spanning tree problem.5) Fast search, insertion, and deletion parallel algorithms are also known.
6) Some problems have no parallel algorithms , and are called inherently serial problems.
7) It may also be made into a parallel algorithm in a straightforward way.
8) Pseudoforests also play a key role in parallel algorithms for graph coloring and related problems.
9) Limes can be used for either architecture evaluation studies or for parallel algorithm evaluation and development.
10) In parallel algorithms , yet another resource in addition to time and space is the number of computers.
11) In previous years, I'd done practically no programming, having concentrated on complexity theory and parallel algorithms .
12) Parallel algorithms allow the load to be distributed among CPUs; an example is the spatial or force decomposition algorithm.
13) Data writing should be as fast as possible in order to bring minimal changes into time characteristics of parallel algorithms .
14) Because of its simplicity, it is a very popular model of parallel computation in the theory of parallel algorithms .
15) The parallel algorithms research community had developed a theory of parallel algorithms called the parallel Random-Access Model (PRAM).
example sentences with parallel algorithm
16) The parallel algorithms research community had developed a theory of parallel algorithms called the parallel Random-Access Model (PRAM).17) An algorithm designed for such an environment is called a serial algorithm, as opposed to parallel algorithms or distributed algorithms.
18) There are rumors that he is connected to the underworld and has developed a quantum computer called the Super parallel algorithm Resonance Compute, or SPARC for short.
19) Mapping : In the fourth and final stage of the design of parallel algorithms , the developers specify where each task is to execute.
20) This is useful for parallel algorithms that use compare and swap on data larger than the size of a pointer, common in lock-free and wait-free algorithms.
21) Although trivial for a conventional computer, solving this problem by a parallel algorithm is complicated and has been the subject of much research.
22) Moreover, a parallel algorithm can be implemented either in a parallel system (using shared memory) or in a distributed system (using message passing).
23) While the field of parallel algorithms has a different focus than the field of distributed algorithms, there is a lot of interaction between the two fields.
24) That is , don't write a program that absolutely relies on parallel algorithms because the resources may not be there on low-end machines or heavily loaded machines.
25) A logging system which meets these requirements allows solving the task of debugging parallel algorithms and also to debug algorithms processing large data arrays.
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