high performance computing on graphics processing units: hgpu.org

This report is intended as a quick introduction to the OpenCL framework and the aim is to facilitate a smooth transfer into the use OpenCL C for developers with previous GPGPU experience. The purpose of OpenCL is to allow for developers to use all compute resources available on a heterogeneous hardware platform. As well as […]

In this paper we present out experiences with the implementation of an object detector using OpenCL. With this implementation we fullfil the need for fast and robust object detection, necessary in many applications in multiple domains (surveillance, traffic, image retrieval, …). The algorithm lends itself to be implemented in a parallel way. We exploit this […]

A GPU version of the pressure projection solver using OpenCL is implemented. Then it has been compared with CPU version which is accelerated with OpenMP. The GPU version shows a sensible reduction in time despite using a simple algorithm in the kernel. The nal code is plugged into a commercial uid simulator software. Dierent kinds […]

Introduction of Graphical Processing Units (GPUs) and computing using GPUs in recent years opened possibilities for simple parallelization of programs. In this update, we present the modernized version of program ARVO [J. Busa, J. Dzurina, E. Hayryan, S. Hayryan, C.-K. Hu, J. Plavka, I. Pokorny, J. Skivanek, M.-C. Wu, Comput. Phys. Comm. 165 (2005) 59]. […]

We present an OpenCL-based Lattice QCD application using a heatbath algorithm for the pure gauge case and Wilson fermions in the twisted mass formulation. The implementation is platform independent and can be used on AMD or NVIDIA GPUs, as well as on classical CPUs. On the AMD Radeon HD 5870 our double precision dslash implementation […]

FPGAs can potentially deliver tremendous acceleration in high-performance server and embedded computing applications. Whether used to augment a processor or as a stand-alone device, these reconfigurable architectures are being deployed in a large number of implementations owing to the massive amounts of parallelism offered. At the same time, a significant challenge encountered in their wide-spread […]

We present an implementation of a Vlasov-Maxwell solver for multicore processors. The Vlasov equation describes the evolution of charged particles in an electromagnetic field, solution of the Maxwell equations. The Vlasov equation is solved by a Particle-In-Cell method (PIC), while the Maxwell system is computed by a Discontinuous Galerkin method. We use the OpenCL framework, […]

This paper deals with modification of self-organizing migration algorithm using the OpenCL framework. This modification allows the algorithm to exploit modern parallel devices, like central processing units and graphics processing units. The main aim was to create algorithm which shows significant speedup when compared to sequential variant. Second aim was to create the algorithm robust […]

In this report we’ve created a linear algebra API using OpenCL, for use with MATLAB. We’ve demonstrated that the individual linear algebra components can be faster when using the GPU as compared to the CPU. We found that the API is heavily memory bound, but still faster than MATLAB in our testcase. The API components […]

In the last few decades there have been substantial improvements in approaches for solving the Boolean satisfiability problem. Many of these consisted in elaborating on existing algorithms, both on the side of complete solvers as in the area of incomplete solvers. Besides the improvements to existing solving methods, however, recent evolutions in SAT solving take […]

The use of accelerators in high-performance computing is increasing. The most commonly used accelerator is the graphics processing unit (GPU) because of its low cost and massively parallel performance. The two most common programming environments for GPU accelerators are CUDA and OpenCL. While CUDA runs natively only on NVIDIA GPUs, OpenCL is an open standard […]

This thesis reviews if OpenCL is a suitable and cost effective platform for algorithm development in health care systems. Aspects such as maintainability, performance, portability and integration with high-level languages (in this case Python) are analyzed. The review is done by implementing one part of a dose calculation algorithm that is complex enough to provide […]