high performance computing on graphics processing units: hgpu.org

In this dissertation we examine the efficiency of GPUs with a limited number of stream processors (up to 32), located in desktops and laptops, in the execution of algorithms such as hashing (MD5, SHA1), encryption (Salsa20) and compression (LZ78). For the implementation part, the OpenCL framework was used under OS X. The graphic cards tested […]

AIMS: We discuss an implementation of our 3D radiative transfer (3DRT) framework with the OpenCL paradigm for general GPU computing. METHODS: We implemented the kernel for solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the horizontal (x,y) plane, including the construction of the nearest neighbor ^* and the operator splitting step. […]

We evaluate a novel implementation of a Self-Organizing Map (SOM) on a Graphics Processing Unit (GPU) cluster. Using various combinations of OpenCL, CUDA, and two different graphics cards, we demonstrate the scalability of the SOM implementation on one to eight GPUs. Results indicate that while the algorithm scales well with the number of training samples […]

We present an effective technique for crosschecking a C or C++ program against an accelerated OpenCL version, as well as a technique for detecting data races in OpenCL programs. Our techniques are implemented in KLEE-CL, a symbolic execution engine based on KLEE and KLEE-FP that supports symbolic reasoning on the equivalence between symbolic values. Our […]

Heterogeneous computing systems can dramatically increase the performance of parallel applications on clusters. Currently, applications that utilize GPU and APU devices, run their device-specific code only on devices of the same computer were the application runs. This paper presents the Virtual OpenCL (VCL) cluster platform that can run unmodified OpenCL applications transparently on clusters with […]

Open Computing Language (OpenCL) is a parallel processing language that is ideally suited for running parallel algorithms on Graphical Processing Units (GPUs). In the present work we report the development of a generic parallel single-GPU code for the numerical solution of a system of first-order ordinary differential equations (ODEs) based on the openCL model. We […]

The main aim of the Computational Fluid Dynamics (CFD) simulations is to reconstruct the reality of fluid motion and behaviour as accurately as possible in order to better understand the natural phenomena under specified conditions. Ideally, general solutions can also cover different scales and geometric configurations. Unfortunately, due to expensive algorithms, classic CFD codes most […]

In recent years, graphics processing units (GPUs) have evolved into powerful devices with significant computational performance and memory throughput. Efforts to exploit their potential to tackle problems from various scientific domains with high computational requirements have proven quite successful. In addition, previous research suggests that database query processing algorithms can be accelerated with the utilisation […]

The goal of this thesis is to design and implement a hyper neural network that has a topology with limited number inputs of individual neurons and uses genetic programming as the learning algorithm. Parallelization of this neural network is done with use of OpenCL standard which allows running it on wide range of devices. From […]

Sparse linear systems are found in many common scientific and engineering problems. In VLSI CAD tools, performing DC circuit analysis can create large, sparse systems represented by huge matrices. Solving such systems can take orders of magnitude of time to compute. Many attempts have been made to parallelize algorithms to solve these matrices. Graphics cards, […]

The increased computational performance in science and engineering has led to the strong need for arithmetic intensive parallel computing, CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) are parallel computing technologies proposed in recent years, which both have a great expanse of application prospect in the field of high performance computing. In this […]

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even […]