high performance computing on graphics processing units: hgpu.org

GPUs have emerged as a powerful tool for accelerating general-purpose applications. The availability of programming languages that makes writing general-purpose applications for running on GPUs tractable have consolidated GPUs as an alternative for accelerating general-purpose applications. Among the areas that have benefited from GPU acceleration are: signal and image processing, computational fluid dynamics, quantum chemistry, […]

Nowadays, an increasing number of computational systems are equipped with heterogeneous compute resources, i.e., following different architecture. This applies to the level of a single chip, a single node and even supercomputers and large-scale clusters. With its impressive price-to-performance ratio as well as power efficiency compared to traditional multicore processors, graphics processing units (GPUs) has […]

Due to many factors such as, high transistor density, high frequency, and low voltage, today’s processors are more than ever subject to hardware failures. These errors have various impacts depending on the location of the error and the type of processor. Because of the hierarchical structure of the compute units and work scheduling, the hardware […]

Heterogeneous architectures, by definition, include multiple processing components with very different microarchitectures and execution models.In particular, computing platforms from supercomputers to smartphones can now incorporate both CPU and GPU processors. Disparities between CPU and GPU processor architectures have naturally led to distinct programming models and development patterns for each component.Developers for a specific system decompose […]

Heterogeneous computing using Graphic Processing Units (GPUs) has become an attractive computing model given the available scale of data-parallel performance and programming standards such as OpenCL. However, given the energy issues present with GPUs, some devices can exhaust power budgets quickly. Better solutions are needed to effectively exploit the power efficiency available on heterogeneous systems. […]

The gap between a supercomputer’s theoretical maximum ("peak") floating-point performance and that actually achieved by applications has grown wider over time. Today, a typical scientific application achieves only 5-20% of any given machine’s peak processing capability, and this gap leaves room for significant improvements in execution times. This problem is most pronounced for modern "accelerator" […]

Acceleration of cryptographic applications on massively parallel computing platforms, such as Graphics Processing Units (GPUs), becomes a real challenge as their decreasing cost and mass production makes practical implementations attractive. We propose a layered trusted architecture integrating random bits generation and parallelized RSA cryptographic computations on such platforms. The GPU-resident, three-tier, MR architecture consists of […]

Special Session on GPU computing The Special Session on GPU Computing and Hybrid Computing aims at providing a forum for scientific researchers and engineers on hot topics related to GPU computing and hybrid computing with special emphasis on applications, performance analysis, programming models and mechanisms for mapping codes. Topics of interest include, but are not […]

We present a method for estimating the point spread function (PSF) of solar surface images acquired from ground telescopes and degraded by atmosphere. The estimation is done by retrieving the wavefront phase using a set of short exposures, the speckle reconstruction of the observed object and a PSF model parametrized by Zernike polynomials. Estimates of […]

Computer Vision (CV) is a rapidly growing field, intent on enabling computers to process, analyze, and understand the information of images to produce structured information and/or make decisions. In recent years, interest in computer vision has grown in part as a result of both cheaper and more capable cameras, but also largely because of affordable […]

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 library in OpenCL for operations such as matrix multiplication that works well on a variety […]

Modern radio telescopes, such as the Low Frequency Array (LOFAR) in the north of the Netherlands, process the signal from the sky in software rather than expensive special purpose hardware, This gives the astronomers an unprecedented flexibility to perform a vast amount of various scientific experiments. However, designing the actual software that would give optimal […]