v

As embedded devices start supporting heterogeneous processing cores (Central Processing Unit [CPU]–Graphical [GPU] based cores), performance aware task allocation becomes a major issue. Use of Open Computing Language (OpenCL) applications on both CPU and GPU improves resolves the problem. However, it has an adverse effect overall power consumption operating temperature system. Operating kind wi...

Zusammenfassung—Bei dieser Seminarausarbeitung handelt es sich um eine Ausarbeitung, die für einen 3DModellierungskurs (Masterstudiengang Angewandte Informatik) an der Universität Duisburg-Essen im Jahr 2011 geschrieben wurde. Ich veröffentliche diese Ausarbeitung, damit interessierte Studierende oder generell an Bildverarbeitung/Rendering Interessierte sich einen ersten Eindruck über Raycastin...

The implementation of stencil computations on modern, massively parallel systems with GPUs and other accelerators currently relies on manually-tuned coding using low-level approaches like OpenCL and CUDA. This makes development of stencil applications a complex, time-consuming, and error-prone task. We describe how stencil computations can be programmed in our SkelCL approach that combines high...

Here we present the revised and newly rewritten version of our earlier published CAVE package (Buša et al., 2010) which was originally written in FORTRAN. The package has been rewritten in C language, the algorithm has been parallelized and implemented using OpenCL. This makes the program convenient to run on platforms with Graphical Processing Units (GPUs). Improvements include also some modif...

All-pairs shortest path problem(APSP) finds a large number of practical applications in real world. We owe to present a highly parallel and recursive solution for solving APSP problem based on Kleene’s algorithm. The proposed parallel approach for APSP is implemented using an open standard framework OpenCL which provides a development environment for utilizing massive parallel capabilities of M...

The rise of multiand many-core architectures also gave birth to a plethora of new parallel programming models. Among these, the open industry standard OpenCL addresses this heterogeneity of programming environments by providing a unified programming framework. The price to pay, however, is that OpenCL requires additional low-level boilerplate code, when compared to vendor-specific solutions, ev...

Heterogeneous computing has become prevalent due to the computing power and low cost of Graphics Processing Units(GPUs). OpenCL provides a programming model where the CPU is the master or host, and compute-intensive portions of an algorithm are offloaded to the GPU. However, the host-device model is very limiting. In this model, data-dependent, run-time optimizations that could benefit many app...