high performance computing on graphics processing units: hgpu.org

Recent technologies have brought parallel infrastructure to general users. Nowa-days parallel infrastructure is available in PC’s and personal laptops. Now single core machines have became history. Even multi-core technologies are replaced by GPGPUs when it comes to high performance computing because GPGPUs are giv-ing many cores at low cost. Sequential programs of the past are […]

Accurate simulation is essential for the proper design and evaluation of any computing platform. Upon the current move toward the CPU-GPU heterogeneous computing era, researchers need a simulation framework that can model both kinds of computing devices and their interaction. In this paper, we present Multi2Sim, an open-source, modular, and fully configurable toolset that enables […]

Computer vision research enables machines to understand the world. Humans usually interpret and analyze the world through what they see – the objects they capture with their eyes. Similarly, machines can better understand the world by recognizing objects in images. Object recognition is therefore a major branch of computer vision. To achieve the highest accuracy, […]

A GPU version of the pressure projection solver using OpenCL is implemented. Then it has been compared with CPU version which is accelerated with OpenMP. The GPU version shows a sensible reduction in time despite using a simple algorithm in the kernel. The nal code is plugged into a commercial uid simulator software. Dierent kinds […]

Radiosity is a popular global illumination algorithm capable of achieving photorealistic rendering results. However, its use in interactive environments is limited by its computational complexity. This paper presents a GPGPU-based implementation of the gathering radiosity approach using texture-based discretisation and the OpenCL framework. Hemicubes are rendered to a texture array and are processed by OpenCL […]

Given a data matrix where the rows are objects and the columns are variables, researchers often want to compute all the pairwise distances among the objects. Due to the design of Nvidia GPU architecture, CUDA code can work with ease data matrices where the numbers of rows and columns are multiples of sixteen. The present […]

We examine how to automatically decompose a program into structured parallel traversals over trees. In our system, programs are declaratively specified as attribute grammars and parallel traversals are defined by a compiler designed to optimize them for both GPUs and multicore CPUs. Our synthesizer automatically finds a correct schedule of the attribute grammar as structured […]

As the prevalence of general purpose computations on GPU, shared memory programming models were proposed to ease the pain of GPU programming. However, with the demanding needs of more intensive workloads, it’s desirable to port GPU programs to more scalable distributed memory environment, such as multi-GPUs. To achieve this, programs need to be re-written with […]

The extreme electromagnetic or gravitational fields associated with some astrophysical objects can give rise to macroscopic effects arising from the physics of the quantum vacuum. Therefore, these objects are incredible laboratories for exploring the physics of quantum field theories. In this dissertation, we explore this idea in three astrophysical scenarios.

Introduction of Graphical Processing Units (GPUs) and computing using GPUs in recent years opened possibilities for simple parallelization of programs. In this update, we present the modernized version of program ARVO [J. Busa, J. Dzurina, E. Hayryan, S. Hayryan, C.-K. Hu, J. Plavka, I. Pokorny, J. Skivanek, M.-C. Wu, Comput. Phys. Comm. 165 (2005) 59]. […]

Computer vision is a rapidly growing field devoted to analyzing, modifying, and high-level understanding of images. Its objective is to determine what is happening in front of a camera and use that understanding to control a computer or robotic system, or to provide people with new images that are more informative.

The cost of data movement over the PCI Express bus is one of the biggest performance bottlenecks for accelerating data-intensive applications on traditional discrete GPU architectures. To address this bottleneck, AMD Fusion introduces a fused architecture that tightly integrates the CPU and GPU onto the same die and connects them with a high-speed, on-chip, memory […]