high performance computing on graphics processing units: hgpu.org

QUAD is a provably secure stream cipher, whose security is based on the hardness assumption of solving multivariate quadratic polynomial systems over a finite field, which is known to be NP-complete. However, such provable security comes at a price, and QUAD is slower than most other stream ciphers that do not have security proofs. In […]

In Content-based Image Retrieval (CBIR) systems, accurately ranking images is of great relevance, since users are interested in the returned images placed at the first positions, which usually are the most relevant ones. In general, CBIR systems consider only pairwise image analysis, that is, compute similarity measures considering only pairs of images, ignoring the rich […]

A computational framework is presented for materials science models that come from energy gradient flows. The models of interest lead to the evolution of structure involving two or more phases. The framework includes higher order derivative models and vector problems. Solutions are considered in periodic cells and standard Fourier spectral discretization in space is used. […]

The growing scale of concurrency requires automated abstraction techniques to cut down the effort in concurrent system analysis. In this paper, we show that the high degree of behavioral symmetry present in GPU programs allows CUDA race detection to be dramatically simplified through abstraction. Our abstraction techniques is one of automatically creating parametric flows

The optimization problem of estimating parameters using a maximum a-posterior (MAP) [3] approach on a non-linear statistical model with a large data set can be solved using an L-BFGS [10] algorithm. When dealing with an ever changing reality, the evaluation need to be fast to capture the immediacy of the observations. This thesis will present […]

vCUDA is a middleware that allows an application to use a CUDA-compatible graphics processing unit (GPU) installed in a remote computer as if it were installed in the computer where the application is being executed. vCUDA is designed following the client-server distributed architecture. On one side, the client employs a library of wrappers to the […]

I participate to the elaboration of the library cumodp. My objective is to develop code for the exact calculation of the real roots of univariate polynomials. Stating this problem is very easy. However, as one dives into the details, one realizes that there are lots of challenges in order to reach highly efficient algorithmic and […]

General purpose programming of Graphics Processing Units (GPUs) is a relatively new technological advancement. GPUs contain vast amounts of computational power with their many core architectures. Within many computer systems the power of these GPUs often goes unused outside the realm of graphics. Many of today’s common computational tasks are well suited for the single […]

This paper presents a new Cooperative Evolutionary MultiSwarm Optimization Algorithm (CEMSO-GPU) based on CUDA parallel architecture applied to solve engineering problems. The focus on this approach is: The use of the concept of master/slave swarm with a mechanism of sharing data; and, the parallelism method based on the paradigm of General Purpose Computing on Graphics […]

In this paper, we first briefly describe some mathematical aspects regarding the computation of eigenvalues, followed by an original approach: a bisection algorithm useful in computing eigenvalues for a tridiagonal symmetric matrix of arbitrary size, using the computing capabilities of the latest graphics processing units that incorporate the Compute Unified Device Architecture. The novel approach […]

A comparison of PGI OpenACC, FORTRAN CUDA, and Nvidia CUDA pseudospectral methods on a single GPU and GCC FORTRAN on single and multiple CPU cores is reported. The GPU implementations use CuFFT and the CPU implementations use FFTW. Porting pre-existing FORTRAN codes to utilize a GPUs is efficient and easy to implement with OpenACC and […]

We investigated various methods of parallelization of the Frish-Hasslacher-Pomeau (FHP) cellular automata algorithm for modeling fluid flow. These methods include SSE, AVX, and POSIX Threads for central processing units (CPUs) and CUDA for graphics processing units (GPUs). We present implementation details of the FHP algorithm based on AVX/SSE and CUDA technologies. We found that (a) […]