Software engineers can now add FPGAs to their HPC arsenal with Altera’s OpenCL SDK along with compatible FPGA platforms from vendors such as Nallatech. We have used a case study of challenging problems from Computational Finance to verify this claim. Our OpenCL FPGA implementations achieved performance 256 times faster than a sequential CPU implementation, which is better than the 240 times spe...

OpenCL (Open Computing Language) is an open standard for the development of parallel applications on a variety of heterogeneous multi-core architectures. Its execution model consists of a host machine connected and controlling a compute device, which performs calculations with a number of parallel computational intensive kernels. Since its introduction, it has been reported to support different...

Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practically began with the introduction of CUDA (Compute Unified Device Architecture) by NVIDIA and Stream by AMD. These are APIs designed by the GPU vendors to be used together with the hardware that they provide. A new emergi...

New paradigms for parallel programming have been devised to simplify software development on multi-core processors and many-core graphical processing units (GPU). Despite their obvious benefits, the parallelisation of existing computer programs is not an easy task. In this work, the use of the Open Multiprocessing (OpenMP) and Open Computing Language (OpenCL) frameworks is considered for the pa...

Application development for modern high-performance systems with Graphics Processing Units (GPUs) relies on low-level programming approaches like CUDA and OpenCL, which leads to complex, lengthy and error-prone programs. In this paper, we present SkelCL – a high-level programming model for systems with multiple GPUs and its implementation as a library on top of OpenCL. SkelCL provides three mai...

The concept of autonomous cars is driving a boost for car electronics and the size of automotive semiconductor market is foreseen to double by 2025. How to benefit from this boost is an interesting question. This article presents a case study to test the feasibility of using OpenCL as the programming language and COTS components as the underlying platforms for ADAS development. For representati...

Clusters that combine heterogeneous compute device architectures, coupled with novel programming models, have created a true alternative to traditional (homogeneous) cluster computing, allowing to leverage the performance of parallel applications. In this paper we introduce clOpenCL, a platform that supports the simple deployment and efficient running of OpenCL-based parallel applications that ...

Graphics Processing Units (GPUs) is currently a common feature of high performance computing. Languages such as CUDA and Open Computing Language (OpenCL) are such programming models; provide a standard interface for achieving high performance across these GPU devices. However, because of the wide variety of architectural complexities of these GPU devices; often makes difficult to write programs...

This paper presents an overview of the OpenCL 1.1 standard [Khronos 2012]. We first motivate the need for GPGPU computing and then discuss the various concepts and technological background necessary to understand the programming model. We use concurrent matrix multiplication as a framework for explaining various performance characteristics of compiling and running OpenCL code, and contrast this...

This paper proposes a real-time (performance of at least 30 fps for full-HD video) Depth-Image-based Rendering (DIBR) approach for stereoscopic 3DTV using OpenCL. Many stereoscopic 3DTV, multi-view, and Free-viewpoint TV (FTV) technologies have been based on DIBR, aiming at saving bandwidth, and to allow for user adaptation in the client-side. Unlike related work, this paper uses OpenCL for all...