high performance computing on graphics processing units: hgpu.org

A typical consumer desktop computer has a multi-core CPU with at least two and possibly up to eight processing elements over four processors, and a multi-core GPU with up to 512 processing elements. Both the CPU and the GPU are capable of running parallel code, and this project demonstrates a method for dynamically deciding whether […]

Advancements in massively parallel sampling of the conformational space of biomolecules enables, for example, protein structure prediction, in-silico drug development and cell signaling. Despite the existence of highly distributed protein simulation architectures like POEM@HOME, there was no abundant computational resource both strong and serial strength and in parallel sampling. In this study we investigate the […]

When using voice communications, one of the problematic phenomena that can occur, is participants hearing an echo of their own voice. Acoustic echo cancellation (AEC) is used to remove this echo, but can be computationally demanding.The recent OpenCL standard allows high-level programs to be run on both multi-core CPUs, as well as Graphics Processing Units […]

Heterogeneous computing platforms that use GPUs and CPUs in tandem for computation have become an important choice to build low-cost high-performance computing platforms. The computing ability of modern GPUs surpasses that of CPUs can offer for certain classes of applications. GPUs can deliver several Tera-Flops in peak performance. However, programmers must adopt a more complicated […]

GPGPU (General purpose computing on graphics processing unit) is quite common in today’s modern computer games when doing heavy simulation calculations like game physics or particle systems. GPU programming is not only used in games but also in scientific research when doing heavy calculations on molecular structures and protein folding etc. The reason why you […]

This thesis investigates the suitability of OpenCL for acceleration of Image analysis operations from a developers perspective. To achieve this four representative problems: Morphological operations, Convolution, Watershedding and Markov random field-based texture segmentation are evaluated. The selected problems offers different implementation issues in terms of locality of the operations and load versus computation. The thesis […]

Savant is a asymptotic ray-tracing CEM tool used to predict the performance of antennas installed on electrically large platforms, including far-field antenna patterns, near-field distributions, and antenna-to-antenna coupling. Savant is based on the shooting and bouncing rays (SBR) formulation. While asymptotic solvers like Savant have significantly smaller computational and memory requirements for electrically large problems […]

Currently there is considerable interest in making use of many-core processor architectures, such as Nvidia and AMD graphics processing units (GPUs) for scientific computing. In this work we explore the use of the Open Computing Language (OpenCL) for a typical Numerical Relativity application: a time-domain Teukolsky equation solver (a linear, hyperbolic, partial differential equation solver […]

The computing needs and the input and result datasets of modern scientific and enterprise applications are growing exponentially. To support such applications, High-Performance Computing (HPC) systems need to employ thousands of cores and innovative data management. At the same time, an emerging trend in designing HPC systems is to leverage specialized asymmetric multicores, such as […]

Heterogeneous processing systems have become the industry standard in almost every segment of the computing market from servers to mobile systems. In addition to employing shared/distributed memory processors, the current trend is to use hardware components such as field programmable gate arrays (FPGAs), single instruction multiple data (SIMD) engines and graphics processing units (GPUs) in […]

Coarse Grained Reconfigurable Arrays have emerged, in recent years, as promising candidates to realize efficient reconfigurable platforms. CGRAs feature high computational density, flexible routing interconnect and rapid reconfiguration, characteristics that make them well-suited to speed up execution of computational kernels. A number of designs embodying the CGRA concept have been proposed in literature, most of […]

A Genetic Algorithm (GA) is a heuristic to find exact or approximate solutions to optimization and search problems within an acceptable time. We discuss GAs from an architectural perspective, offering a general analysis of GAs on multi-core CPUs and on GPUs, with solution quality considered. We describe widely-used parallel GA schemes based on Master-Slave, Island […]