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In any case, the synchronization algorithm is built around two major computational kernels: correlation and autocorrelation functions.
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Sapporo1 contains two computational kernels to solve the gravitational forces.
These algorithms, however, impose major computational demands.
One-sided dense matrix factorizations are important computational kernels in many scientific and engineering simulations.
This paper introduces the model, the processor and chip architecture and its emulation on a range of computational kernels.
Code optimisations have been applied on two computational kernels exhibiting different computational patterns: the update of flow variables and the evaluation of the Roe numerical fluxes.
The major computational components of the CMaps platform were developed using validated computational techniques.
Sparse matrix-vector multiplication (SpMV) is a fundamental computational kernel used in scientific and engineering applications.
This chapter discusses a classical computational kernel, convolution, which is used in many machine vision, statistics, and signal processing applications.
It consists of a graphical frontend (written in Java) and computational kernel (written in ANSI C).
When 8 CPU cores and 2 GPU devices are utilized, the speed-up of the computational kernel increases to 9.5.
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