high performance computing on graphics processing units: hgpu.org

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 […]

As users and developers, we are witnessing the opening of a new computing scenario: the introduction of hybrid processors into a single die, such as an accelerated processing unit (APU) processor, and the plug-and-play of additional graphics processing units (GPUs) onto a single motherboard. These APU processors provide multiple symmetric cores with their memory hierarchies […]

Current multi- and many-core computing typically involves multi-core Central Processing Units (CPU) and many-core Graphical Processing Units (GPU) whose architectures are distinctly different. To keep longevity of application codes, it is highly desirable to have a programming paradigm to support these current and future architectures. Open Computing Language (OpenCL) is created to address this problem. […]

This paper presents a comparison of OpenMP and OpenCL based on the parallel implementation of algorithms from various fields of computer applications. The focus of our study is on the performance of benchmark comparing OpenMP and OpenCL. We observed that OpenCL programming model is a good option for mapping threads on different processing cores. Balancing […]

In this paper we investigate a solution to the problem of simulating the spread of epidemics in real-world trading networks. We developed an application that uses parallel computing devices (e.g. GPUs – Graphical Processing Units) with OpenCL (Open Computing Language). Furthermore, we use the epidemiological SIRmodel to represent the nodes of the trading network. Initially, […]

In the past, evaluating the architectural innovation of parallel computing devices relied on a benchmark suite based on existing programs, e.g., EEMBC or SPEC. However, with the growing ubiquity of parallel computing devices, we argue that it is unclear how best to express parallel computation, and hence, a need exists to identify a higher level […]

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 […]

With demand for high-performance computing at an all-time high, especially from the scientific/numerical analysis community, leveraging the power of existing heterogeneous architectures has become increasingly desirable. The attempt to use GPUs for non-graphics computations has bred programming models and innovative architectures that have trended towards a general-purpose computing platform. The latest generation of programming tools […]

OpenCL and OpenMP are the most commonly used programming models for homogeneous multi-core processors. They are also fundamentally different in their approach to parallelization, in terms of granularity level, explicit/implicit constructs, and usability. In this paper, we compare these two models in terms of programmability, with a special focus on performance and productivity. For our […]

With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platform with tremendous raw computing capacity can be constructed consisting of any number of these computing elements. However, one of the major challenges for constructing such a platform is the lack of a standardized framework under which an application’s computational task and […]

3D Video and related technologies like view synthesis, 2D-3D video conversions rely heavily on depth/disparity maps extracted from stereo video content. Innovative Segment-based depth map extraction chain from stereo video content was proposed in [1] giving good trade-off between quality (exactness to the ground truth) and computational complexity. We accelerated this work further by ~150%, […]

Data-parallel languages like OpenCL and CUDA are an important means to exploit the computational power of today’s computing devices. In this paper, we deal with two aspects of implementing such languages on CPUs: First, we present a static analysis and an accompanying optimization to exclude code regions from control-flow to data-flow conversion, which is the […]