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搜索结果: 1-15 共查到Parallelization相关记录19条 . 查询时间(0.062 秒)
The hardness of the shortest vector problem for lattices is a fundamental assumption underpinning the security of many lattice-based cryptosystems, and therefore, it is important to evaluate its diffi...
Parallelizing compilers do not handle loops in a satisfactory manner. Fine-grain transformations capture irregular parallelism inside a loop body not amenable to coarser approaches but have limited ab...
Optimal Loop Parallelization     Optimal Loop  Parallelization       2016/5/25
Parallelizing compilers promise to exploit the parallelism available in a given program, particularly parallelism that is too low-level or irregular to be expressed by hand in an algorithm.
Increasing amounts of information that needs to be protecting put in claims specific requirements for information security systems. The main goal of this paper is to find ways to increase performance ...
In this article, we propose a novel image segmentation method called the whole mesh deformation (WMD) model, which aims at addressing the problems of modern medical imaging. Such problems have raised ...
The variational formulation of Bayes' theorem allows inferring CO2 sources and sinks from atmospheric concentrations at much higher time–space resolution than the ensemble or analytical approaches. Ho...
Following a series of high-pro le drug safety disasters in recent years, many countries are redoubling their e orts to ensure the safety of licensed medical products. Large-scale observa-tional databa...
We present a brief report on the collision search for the reduced SHA-1. With a few improvements to our previous work, directed at efficient parallelization on a GPU cluster, we managed to construct a...
We present a brief report on the collision search for the reduced SHA-1. With a few improvements to our previous work, directed at efficient parallelization on a GPU cluster, we managed to construct a...
We present a brief report on the collision search for the reduced SHA-1. With a few improvements to our previous work, directed at efficient parallelization on a GPU cluster, we managed to construct a...
We propose a new parallelization technique for Lanczos type algorithms for solving large sparse linear systems over finite fields on mesh cluster architecture. The algorithm computation time scales as...
We propose a four-tiered parallelization model for acceleration of the secure multiparty computation (SMC) on the CUDA based Graphic Processing Unit (GPU) cluster architecture. Specification layer is ...
We propose a four-tiered parallelization model for acceleration of the secure multiparty computation (SMC) on the CUDA based Graphic Processing Unit (GPU) cluster architecture. Specification layer is ...
We propose a four-tiered parallelization model for acceleration of the secure multiparty computation (SMC) on the CUDA based Graphic Processing Unit (GPU) cluster architecture. Specification layer is ...
Despite increasing processing power of systems, sequential programs have limitations to achieve corresponding performance gains. Parallelization of sequential programs can exploit the computation pote...

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