Developing high performance GPU code is labor intensive. Ideally, developers could recoup high GPU development costs by generating high-performance programs for CPUs and other architectures from the same source code. However, current OpenCL compilers for non-GPUs do not fully exploit optimizations in well-tuned GPU codes. To address this problem, we develop an OpenCL implementation that efficie...

OpenCL standard reaches more wider audience due to increasing the number of devices supporting it. This situation puts developers who want performance on large range of platforms in a difficult position. To solve this problem, autotuning frameworks are deployed. But the problem of design exploration space is seriously large because of OpenCL parameters. In this work, we introduce an approach wh...

Field programmable gate arrays (FPGAs) provide reconfigurable computing fabrics that can be tailored to a wide range of time and power sensitive applications. Traditionally, programming FPGAs required an expertise in complex hardware description languages (HDLs) or proprietary high-level synthesis (HLS) tools. Recently, Altera released the worlds first OpenCL conformant SDK for FPGAs. OpenCL is...

Drug screening is an important part of the drug development pipeline for the pharmaceutical industry. Traditional, lab-based methods are increasingly being augmented with computational methods, ranging from simple molecular similarity searches through more complex pharmacophore matching to more computationally intensive approaches, such as molecular docking. The latter simulates the binding of ...

To fully tap into the potential of today heterogeneous machines, offloading parts of an application on accelerators is no longer sufficient. The real challenge is to build systems where the application would permanently spread across the entire machine, that is, where parallel tasks would be dynamically scheduled over the full set of available processing units. In this paper we present SOCL, an...

This paper proposes a Field Programmable Gate Array (FPGA) implementation of the stereo correspondence matching using Phase-Only Correlation (POC). The use of high-accuracy stereo correspondence matching based on POC makes it possible to measure accurate 3D shape of an object using stereo vision. The drawback of the POC-based approach is its high computational cost. To address this problem, we ...

An automatic OpenCL compute kernel generator framework for linear algebra operations is presented. It allows for specifying matrix and vector operations in high-level C++ code, while the low-level details of OpenCL compute kernel generation and handling are dealt with in the background. Our approach releases users from considerable additional effort required for learning the details of programm...

Two aspects of improvements are proposed for the OpenCL-based implementation of the social field pedestrian model. In the aspect of algorithm, a method based on the idea of divide-and-conquer is devised in order to overcome the problem of global memory depletion when fields are of a larger size. This is of importance for the study of finer pedestrian walking behavior, which usually implies usag...

T he strong need for increased computational performance in science and engineering has led to the use of heterogeneous computing, with GPUs and other accelerators acting as coprocessors for arithmetic intensive data-parallel workloads.1–4 OpenCL is a new industry standard for task-parallel and data-parallel heterogeneous computing on a variety of modern CPUs, GPUs, DSPs, and other microprocess...

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 and more di...