High-performance computing systems today include a variety of compute devices such as multi-core CPUs, GPUs and many-core accelerators. OpenCL allows programming different types of compute devices using a single API and kernel language. However, there is no standard matrix operations …
May 11, 2013 by hgpu
The goal of this project was to evaluate the viability of a mass-spring-damper based model for modeling of biological tissue. A method for automatically generating such a model from data taken from 3D medical imaging equipment including both the generation …
May 6, 2013 by hgpu
In recent years, Graphics Processing Units (GPUs) have piqued the interest of researchers in scientific computing. Their immense floating point throughput and massive parallelism make them ideal for not just graphical applications, but many general algorithms as well. Load balancing …
May 1, 2013 by hgpu
Heterogeneous systems have grown in popularity within the commercial platform and application developer communities. We have seen a growing number of systems incorporating CPUs, Graphics Processors (GPUs) and Accelerated Processing Units (APUs combine a CPU and GPU on the same …
April 22, 2013 by hgpu
OpenCL is now available on a very large set of processors. This makes this language an attractive layer to address multiple targets with a single code base. The question on how sensitive to the underlying hardware is the OpenCL code …
April 21, 2013 by hgpu
Hybrid computational architectures based on the joint power of Central Processing Units and Graphic Processing Units (GPUs) are becoming popular and powerful hardware tools for a wide range of simulations in biology, chemistry, engineering, physics, etc.. In this paper we …
April 9, 2013 by hgpu
The particle filter is a Bayesian estimation technique based on Monte Carlo simulation. It is ideal for non-linear, nonGaussian dynamical systems with applications in many areas, such as computer vision, robotics, and econometrics. Practical use has so far been limited, …
April 4, 2013 by hgpu
We address the low popularity of C++ in computational science by introducing a set of orthogonal libraries: The CUDA-, OpenCL-, and OpenMP-enabled linear algebra library ViennaCL, the mesh datastructure library ViennaGrid, a data storage facility named ViennaData, and the symbolic …
April 1, 2013 by hgpu
This paper presents how to use, in Scilab, accelerator technologies from AMD, Intel and Nvidia in a exible and portable manner. The proposed approach aims at simplifying speeding up Scilab programs in an incremental process thanks to directives based parallel …
March 24, 2013 by hgpu
This paper presents the design and implementation of several fundamental dense linear algebra (DLA) algorithms in OpenCL. In particular, these are linear system solvers and eigenvalue problem solvers. Further, we give an overview of the clMAGMA library, an open source, …
March 18, 2013 by hgpu
Cortical modeling is an area of research seeking to model and simulate the cerebral cortex of the brain, which is of fundamental importance to conscious thought and action. Computational power is a major challenge in this field and the problem …
January 11, 2013 by hgpu
General purpose GPU based systems are highly attractive as they give potentially massive performance at little cost. Realizing such potential is challenging due to the complexity of programming. This paper presents a compiler based approach to automatically generate optimized OpenCL …
January 8, 2013 by hgpu
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