high performance computing on graphics processing units: hgpu.org

High-level scripting languages are in many ways polar opposites to GPUs. GPUs are highly parallel, subject to hardware subtleties, and designed for maximum throughput, and they offer a tremendous advance in the performance achievable for a significant number of computational problems. On the other hand, scripting languages such as Python favor ease of use over […]

Sequence alignment is one of the oldest and the most famous problems in bioinformatics. Even after 45 years, for one reason or another, this problem is still actual; current solutions are trade-offs between execution time, memory consumption and accuracy. We purpose SW#, a new CUDA GPU enabled and memory efficient implementation of dynamic programming algorithms […]

Eta pairing on a supersingular elliptic curve over the binary field F_2_1223 used to offer 128-bit security, and has been studied extensively for efficient implementations. In this paper, we report our GPU-based implementations of this algorithm on an NVIDIA Tesla C2050 platform. We propose efficient parallel implementation strategies for multiplication, square, square root and inverse […]

Nowadays, scientists are often disappointed by the outcome when parallelizing their simulations, in spite of all the tools at their disposal. They often invest much time and money, and do not obtain the expected speed-up. This can come from many factors going from a wrong parallel architecture choice to a model that simply does not […]

Scientific computing applications are quickly adapting to leverage the massive parallelism of GPUs in large-scale clusters. However, the current hybrid programming models require application developers to explicitly manage the disjointed host and GPU memories, thus reducing both efficiency and productivity. Consequently, GPU-integrated MPI solutions, such as MPI-ACC and MVAPICH2-GPU, have been developed that provide unified […]

The reservoir computer comprises a reservoir of possibly non-linear, possibly chaotic dynamics. By perturbing and taking outputs from this reservoir, its dynamics may be harnessed to compute complex problems at "the edge of chaos". One of the first forms of reservoir computer, the Echo State Network (ESN), is a form of artificial neural network that […]

With the plateauing of processor frequencies and increase in energy consumption in computing, application developers are seeking new sources of performance acceleration. Heterogeneous platforms with multiple processor architectures offer one possible avenue to address these challenges. However, modern heterogeneous programming models tend to be either so low-level as to severely hinder programmer productivity, or so […]

Over the past decade, computing architectures have continued to exploit multiple levels of parallelism in applications. This increased interest in parallel computing has not only fueled the growth of multi-core processors but has also lead to an emergence of several non-traditional computing architectures like General Purpose Graphical Processing Units (GP-GPUs), Cell Processors, and Field Programmable […]

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 chip). These emerging class of platforms are now being targeted to accelerate applications where the […]

Graphics Processing Units (GPUs) are widely used to unload the CPUs, liberate other resources of a given computer system, and provide an alternative to multiprocessor computers as a means of processing computationally expensive parallel tasks. The recent trend of utilizing GPUs in embedded systems necessitates the development of timing analysis techniques for finding the joint […]

This article presents a method of implementation genetic algorithm in CUDA. Used algorithm operat on a large population and a complex genotype, so that it exceeded the size of the cache memory. It is not completely transferred to the graphics card. It consists of modules that run on the CPU and are synchronized through it. […]

Nowadays, non-photorealistic volume rendering has become a useful technique in medicine and scientific visualization. One of these rendering techniques is silhouette extraction of iso-surfaces. This paper proposes three methods of extracting silhouettes from relatively large datasets very fast (in some cases, even in real time), using the GPGPU technology. These methods are suitable for different […]