high performance computing on graphics processing units: hgpu.org

The development of detailed, coherent, models of complex biological systems is recognized as a key requirement for integrating the increasing amount of experimental data. In addition, in-silico simulation of bio-chemical models provides an easy way to test different experimental conditions, helping in the discovery of the dynamics that regulate biological systems. However, the computational power […]

This paper throws a small “wet blanket” on the hot topic of GPGPU acceleration, based on experience analyzing and tuning both multithreaded CPU and GPU implementations of three computations in scientific computing. These computations–(a) iterative sparse linear solvers; (b) sparse Cholesky factorization; and (c) the fast multipole method–exhibit complex behavior and vary in computational intensity […]

In this paper, we present the design of a sample sort algorithm for manycore GPUs. Despite being one of the most efficient comparison-based sorting algorithms for distributed memory architectures its performance on GPUs was previously unknown. For uniformly distributed keys our sample sort is at least 25% and on average 68% faster than the best […]

Most modern computers or game consoles are equipped with powerful graphics processing units (GPU) to accelerate graphics operations. There is a trend that the power of GPU outgrows that of the CPU (central processing unit). However, the GPU engines are specially designed for graphics operations. Can we take advantage of the powerful GPU engines for […]

Graphics processing unit (GPU) is used for a faster artificial neural network. It is used to implement the matrix multiplication of a neural network to enhance the time performance of a text detection system. Preliminary results produced a 20-fold performance enhancement using an ATI RADEON 9700 PRO board. The parallelism of a GPU is fully […]

GPU computing is at a tipping point, becoming more widely used in demanding consumer applications and high-performance computing. This article describes the rapid evolution of GPU architectures-from graphics processors to massively parallel many-core multiprocessors, recent developments in GPU computing architectures, and how the enthusiastic adoption of CPU+GPU coprocessing is accelerating parallel applications.

The graphics processing unit (GPU) has become an integral part of today’s mainstream computing systems. Over the past six years, there has been a marked increase in the performance and capabilities of GPUs. The modern GPU is not only a powerful graphics engine but also a highly parallel programmable processor featuring peak arithmetic and memory […]

HiPC is an international meeting on high performance computing. It serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the high performance computing area. The meeting focuses on all aspects of high performance computing systems and their scientific, engineering, and commercial applications. […]

The fourth International Many-core and Reconfigurable Supercomputing Conference, MRSC 2011, will be held in Bristol, UK, building on the success of previous MRSC’s at Queen’s University Belfast, Zuse Institute, Berlin and Caspur, Rome. MRSC is the premier event in Europe focused on accelerated High-Performance Computing using Many-Core and Reconfigurable computing technologies, such as GPUs and […]

New Orleans is where the future began for renowned discoverers and innovators of the past, and in November 2010, The Big Easy plays host to discoverers of the future at SC10, the 23rd meeting in the conference’s annual history. It’s a great match. No city in the world is better known for its celebrations and […]