Posts
Jun, 13
Experiences with High-Level Programming Directives for Porting Applications to GPUs
HPC systems now exploit GPUs within their compute nodes to accelerate program performance. As a result, high-end application development has become extremely complex at the node level. In addition to restructuring the node code to exploit the cores and specialized devices, the programmer may need to choose a programming model such as OpenMP or CPU […]
Jun, 13
A comparison of CPU and GPU performance for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and Sine Gordon Equations
We report results comparing the performance of pseudospectral methods on a single CPU and a single GPU. Our CPU implementations use FFTW and we compare serial and OpenMP implementations. Our implementations for Nvidia GPUs use CuFFT and we compare the performance of PGI FORTRAN CUDA, Nvidia CUDA and PGI OpenACC compilers for similar algorithms.
Jun, 13
Fluid Dynamics Simulations on Multi-GPU Systems
The thesis describes the original design, implementation and testing of the multi-GPU version of two fluid flow simulation models, focusing on the cellular automaton MAGFLOW lava flow simulator and the GPU-SPH model for Navier-Stokes. In both cases, a spatial subdivision of the domain is performed, with a minimal overlap to ensure the correct evaluation of […]
Jun, 11
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
Language models play an important role in large vocabulary speech recognition and statistical machine translation systems. The dominant approach since several decades are back-off language models. Some years ago, there was a clear tendency to build huge language models trained on hundreds of billions of words. Lately, this tendency has changed and recent works concentrate […]
Jun, 11
GPUSync: Architecture-Aware Management of GPUs for Predictable Multi-GPU Real-Time Systems
The integration of graphics processing units (GPUs) into real-time systems has recently become an active area of research. However, prior research on this topic has failed to produce real-time GPU allocation methods that fully exploit the available parallelism in GPU-enabled systems. In this paper, a GPU management framework called GPUSync is described that was designed […]
Jun, 11
Range query processing in a multi-GPU environment
Similarity search has been widely studied in the last years, as it can be applied to several fields such as searching by content in multimedia objects, text retrieval or computational biology. These applications usually work on very large databases that are often indexed off-line to enable the acceleration of online searches. However, to maintain an […]
Jun, 11
CUDAICA: GPU optimization of Infomax-ICA EEG analysis
In recent years Independent Component Analysis (ICA) has become a standard to identify relevant dimensions of the data in neuroscience. ICA is a very reliable method to analyze data but it is, computationally, very costly. The use of ICA for on-line analysis of the data, used in brain computing interfaces, results almost completely prohibitive. We […]
Jun, 11
Solving the Ghost-Gluon System of Yang-Mills Theory on GPUs
We solve the ghost-gluon system of Yang-Mills theory using Graphics Processing Units (GPUs). Working in Landau gauge, we use the Dyson-Schwinger formalism for the mathematical description as this approach is well-suited to directly benefit from the computing power of the GPUs. With the help of a Chebyshev expansion for the dressing functions and a subsequent […]
Jun, 10
Using the GPGPU for Scaling Up Mining Software Repositories
The Mining Software Repositories (MSR) field integrates and analyzes data stored in repositories such as source control and bug repositories to support practitioners. Given the abundance of repository data, scaling up MSR analyses has become a major challenge. Recently, researchers have experimented with conventional techniques like a super-computer or cloud computing, but these are either […]
Jun, 10
Point to point processing of digital images using parallel computing
This paper presents an approach the point to point processing of digital images using parallel computing, particularly for grayscale, brightening, darkening, thresholding and contrast change. The point to point technique applies a transformation to each pixel on image concurrently rather than sequentially. This approach used CUDA as parallel programming tool on a GPU in order […]
Jun, 10
CUDA Kernel Design for GPU-Based Beam Dynamics Simulations
Efficient implementation of general purpose particle tracking on GPUs can result in significant performance benefits to large scale particle tracking and tracking-based accelerator optimization simulations. We present our work on accelerating Argonne National Lab’s accelerator simulation code ELEGANT [1, 2] using CUDA-enabled GPUs [3]. In particular, we provide an overview of beamline elements ported to […]
Jun, 10
S-buffer: Sparsity-aware Multi-fragment Rendering
This work introduces S-buffer, an efficient and memory-friendly gpu-accelerated A-buffer architecture for multi-fragment rendering. Memory is organized into variable contiguous regions for each pixel, thus avoiding limitations set in linked-lists and fixed-array techniques. S-buffer exploits fragment distribution for precise allocation of the needed storage and pixel sparsity (empty pixel ratio) for computing the memory offsets […]
