high performance computing on graphics processing units: hgpu.org

OpenCL (Open Computing Language) is an open standard for cross-platform, programming of modern highly-parallel processor architectures. Introduced withOS X v10.6,OpenCL consists of a C99-based programming language designed for parallelism, a powerful scheduling API, and a flexible runtime that executes kernels on the CPU or GPU. OpenCL lets your application harness the computing power of these […]

The amount of multimedia information transmitted through the web is very high and increasing. Generally, this kind data is not correctly protected, since users do not appreciate the information that images and videos may contain. In this work, we present an architecture for managing safely multimedia transmission channels. The idea is to encrypt and encode […]

Computing general problems using the graphical processing unit (GPU) of a device is an emerging field. The parallel structure of the GPU allows for massive concurrency, when executing a program. Therefore, by executing (a part of) the code on the GPU, a previously unused resource can be used, to achieve a speed-up of an application. […]

We present an automatic analysis technique for checking data races on OpenCL kernels. Our method defines symbolic execution techniques based on separation logic with suitable abstractions to automatically detect non-benign racy behaviours on kernels.

The project evaluates how well a haptic device can be used to interact with a visualization of volumetric data. Since the interface to the haptic device require explicit surface descriptions, triangles had to be constructed from the volumetric data. The algorithm used to extract these triangles is marching cubes. The triangles produced by marching cubes […]

Programming heterogeneous systems has been greatly simplified by OpenCL, which provides a common low-level API for a large variety of compute devices. However, many low-level details, including data transfer, task scheduling, or synchronization, must still be managed by the application designer. Often, it is desirable to program heterogeneous systems in a higher-level language, making the […]

Upcoming heterogeneous systems ask for new programming paradigms. Abstracting the underlying hardware architecture is desirable in order to support productive software development. This thesis proposes a design flow and runtime-system for executing process networks on heterogeneous systems using OpenCL. Process networks are a popular model of computation for deterministic parallel programming and OpenCL is a […]

In this paper AQUAgpusph, a new free SPH software licensed under GPLv3 and accelerated using OpenCL, will be described. Its main differences with respect to other GPU based SPH implementations will be discussed, focusing first on the fact that is accelerated with OpenCL, second on the wide range of solid boundary condition enforcing methods have […]

Computer simulations of cardiac electrophysiology are a helpful tool in the study of bioelectric activity of the heart. The cardiac monodomain model comprises a nonlinear system of partial differential equations and its numerical solution represents a very intensive computational task due to the required fine spatial and temporal resolution. Recent studies have shown that the […]

In this paper, we propose a new very simple numerical method for solving liquid-gas compressible flows. Such flows are difficult to simulate because classic conservative finite volume schemes generate pressure oscillations at the liquid-gas interface. We extend to several dimensions the random choice scheme that we have constructed in [2]. The extension is performed through […]

Strassen’s matrix multiplication algorithm is an efficient and widely used practical algorithm for matrix multiplication. In its basic form, the algorithm is a series of recursive steps to decompose the matrices, multiply intermediate matrices and another set of recursive steps to recompose the product matrix. Implementing the algorithm on a GPU requires it to be […]

Heterogeneous multicore architectures with CPU and add-on GPUs or streaming processors are now widely used in computer systems. These GPUs provide substantially more computation capability and memory bandwidth compared to traditional multi-cores. Also, because they are highly programmable, they provide the computational performance needed for realistic graphics rendering. Applications with general computations can also be […]