Unleashing the full potential of heterogeneous systems, consisting of multi-core CPUs and GPUs, is a challenging task due to the difference in processing capabilities, memory availability, and communication latencies of different computational resources. In this paper we propose a novel …
April 21, 2013 by hgpu
LU factorization with partial pivoting is a canonical numerical procedure and the main component of the High Performance Linpack benchmark. This article presents an implementation of the algorithm for a hybrid, shared memory, system with standard CPU cores and GPU …
April 17, 2013 by hgpu
Fully utilizing the power of modern heterogeneous systems requires judiciously dividing work across all of the available computational devices. Existing approaches for partitioning work require offline training and generate fixed partitions that fail to respond to fluctuations in device performance …
April 8, 2013 by hgpu
Graphics processors, or GPUs, have recently been widely used as accelerators in the shared environments such as clusters and clouds. In such shared environments, many kernels are submitted to GPUs from different users, and throughput is an important metric for …
March 23, 2013 by hgpu
This paper gives an introduction to how graphical processing units can be used in non-graphical related problems or tasks. First a history of GPU is provided. The next part focuses on GPU programming. A brief description is given about the …
March 7, 2013 by hgpu
We present a sparse direct solver using multilevel task scheduling on a modern heterogeneous compute node consisting of a multi-core host processor and multiple GPU accelerators. Our direct solver is based on the multifrontal method, which is characterized by exploiting …
February 21, 2013 by hgpu
Back problems are often related to an abnormal condition of the spine. In this context, conventional X-Ray radiography is the most common modality used in emergency rooms since it is relatively inexpensive and fast. In this paper, we are interested …
February 1, 2013 by hgpu
Current computational platforms have become continuously more and more heterogeneous and parallel over the last years, as a consequence of incorporating accelerators whose architectures are parallel and different from the CPU. As a result, several frameworks were developed to aid …
January 30, 2013 by hgpu
MrBayes, using Metropolis coupled Markov chain Monte Carlo [MCMCMC, or (MC)^3 for short], is a popular program for Bayesian inference. As a leading method of using DNA data to infer phylogeny, now the (MC)^3 Bayesian algorithm and its improved and …
January 28, 2013 by hgpu
In this paper we present Softshell, a novel execution model for devices composed of multiple processing cores operating in a single instruction, multiple data fashion, such as graphics processing units (GPUs). The Softshell model is intuitive and more flexible than …
November 27, 2012 by hgpu
The development of a new unified, multi-threaded runtime system for the execution of asynchronous tasks on heterogeneous systems is described in this work. These asynchronous tasks arise from the Uintah framework, which was developed to provide an environment for solving …
November 24, 2012 by hgpu
Heterogeneous supercomputers that incorporate computational accelerators such as GPUs are increasingly popular due to their high peak performance, energy efficiency and comparatively low cost. Unfortunately, the programming models and frameworks designed to extract performance from all computational units still lack …
November 22, 2012 by hgpu
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