high performance computing on graphics processing units: hgpu.org

Matching feature points between images is a key point in many computer vision tasks. As the number of images increases, this rapidly becomes a bottleneck. We here present how to use the power of GPUs to obtain image matching in typically 20 ms for one thousand points. This speedup makes applications like interactive image matching […]

Graphics architectures are in the midst of a major transition. In the past, these were specialized architectures designed to support a single rendering algorithm: the standard Z buffer. Realtime 3D graphics has now advanced to the point where the Z-buffer algorithm has serious shortcomings for generating the next generation of higher-quality visual effects demanded by […]

The recent introduction of cost-effective accelerator processors (APs), such as the IBM Cell processor and Nvidia’s graphics processing units (GPUs), represents an important technological innovation which promises to unleash the full potential of atomistic molecular modeling and simulation for the biotechnology industry. Present APs can deliver over an order of magnitude more floating-point operations per […]

HPDC is the premier computer science conference for presenting new results relating to large scale high performance and distributed systems used in science and industry. For twenty years, HPDC has been at the center of new discoveries in clusters, grids, clouds, and parallel and multicore computers.

The computing landscape has undergone significant transformation with the emergence of more powerful processing elements such as GPUs, FPGAs, Cell B.E., multi-cores, etc. On the multi-core front, Moore’s Law has transcended beyond the single processor boundary with the prediction that the number of cores will double every 18 months. Going forward, the primary method of […]

We are currently witnessing the emergence of two paradigms in parallel computing: streaming processing and multi-core CPUs. Represented by solid commercial products widely available in commodity PCs, GPUs and multi-core CPUs bring together an unprecedented combination of high performance at low cost. The scientific computing community needs to keep pace with application models and middleware […]

In this paper we propose the Merge framework, a general purpose programming model for heterogeneous multi-core systems. The Merge framework replaces current ad hoc approaches to parallel programming on heterogeneous platforms with a rigorous, library-based methodology that can automatically distribute computation across heterogeneous cores to achieve increased energy and performance efficiency. The Merge framework provides […]

Medical ultrasound interpretation requires a great deal of experience. Real-time simulation of medical ultrasound provides a cost-effective tool for training and easy access to a variety of cases and exercises. However, fully synthetic and realistic simulation of ultrasound is complex and extremely time-consuming. In this paper, we present a novel method for simulation of ultrasound […]

We demonstrate that for modern medical imaging applications, parallel implementations on traditional parallel architectures (clusters and multiprocessor servers) can be outperformed, both in terms of speed and cost-effectiveness, by new implementations on next-generation architectures like GPUs (Graphics Processing Units). Although, compared to clusters and multiprocessor servers, GPUs are rather small and much less expensive, they […]

This paper presents a many-core visual computing architecture code named Larrabee, a new software rendering pipeline, a manycore programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide vector processor unit, as well as some fixed function logic blocks. This provides dramatically higher performance […]

General-purpose computing on graphics processing units (GPGPU) is shown to dramatically increase the speed of Monte Carlo simulations of photon migration. In a standard simulation of time-resolved photon migration in a semi-infinite geometry, the proposed methodology executed on a low-cost graphics processing unit (GPU) is a factor 1000 faster than simulation performed on a single […]

The authors provide a brief overview of electronic structure theory and detail their experiences implementing quantum chemistry methods on a graphical processing unit. They also analyze algorithm performance in terms of floating-point operations and memory bandwidth, and assess the adequacy of single-precision accuracy for quantum chemistry applications.