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A Parallel Implementation of the 2D Wavelet Transform Using CUDA Joaqun Franco, Gregorio Bernab, Juan Fernndez and Manuel E. Acacio
 

Summary: A Parallel Implementation of the 2D Wavelet Transform Using CUDA
Joaquín Franco, Gregorio Bernabé, Juan Fernández and Manuel E. Acacio
Dpto. de Ingeniería y Tecnología de Computadores
Universidad de Murcia, Campus de Espinardo s/n, 30100 Murcia (SPAIN)
email:{j.franco,gbernabe,juanf,meacacio}@ditec.um.es
Abstract
There is a multicore platform that is currently concen-
trating an enormous attention due to its tremendous poten-
tial in terms of sustained performance: the NVIDIA Tesla
boards. These cards intended for general-purpose computing
on graphic processing units (GPGPUs) are used as data-
parallel computing devices. They are based on the Computed
Unified Device Architecture (CUDA) which is common to
the latest NVIDIA GPUs. The bottom line is a multicore
platform which provides an enormous potential performance
benefit driven by a non-traditional programming model.
In this paper we try to provide some insight into the
peculiarities of CUDA in order to target scientific computing
by means of a specific example. In particular, we show
that the parallelization of the two-dimensional fast wavelet

  

Source: Acacio, Manuel - Departamento de Ingenieria y Tecnologia de Computadores, Universidad de Murcia

 

Collections: Computer Technologies and Information Sciences