high performance computing on graphics processing units: hgpu.org

Natural phenomena simulation, such as water and smoke, is a very important topic in order to increase real time scene realism in videogames and general real time simulations. However, this kind of simulation requires numerically solving the Navier-Stokes equations, which is a computationally expensive task. Additionally, to deal more immersing simulation, interaction between the flow […]

This paper will report our evaluation to use OpenCL as a platform for hard real-time scheduling. Especially, we have evaluated which types of tasks are faster on GPGPU than on CPU. We have investigated computational tasks, memory intensive tasks (especially tasks using low latency GDDR memory) and disk intensive tasks. This study is the part […]

Data warehousing applications represent an emerging application arena that requires the processing of relational queries and computations over massive amounts of data. Modern general purpose GPUs are high bandwidth architectures that potentially offer substantial improvements in throughput for these applications. However, there are significant challenges that arise due to the overheads of data movement through […]

Marching Cubes (MC) is an algorithm that extracts surfaces from volumetric scalar data. It is used extensively in visualization and analysis of medical data from modalities like CT and MR, usually after a 3D segmentation of the structures of interest have been performed. Implementations of MC on CPUs are slow, using several seconds (even minutes) […]

This paper studies an option for offloading some types of AI processing to the Graphics Processing Unit (GPU), by proposing the parallelization of the Batch Least Squares (BLS) method for tuning consequent parameters and the gradient method for tuning input fuzzy sets in a Takagi-Sugeno-Kang Fuzzy Inference System using the Compute Unified Device Architecture (CUDA). […]

The implementation of the Split-Field Finite Difference Time-Domain (SP-FDTD) method in Graphics Pro- cessing Units is described in this work. This formalism is applied to light wave propagation through periodic media with arbitrary anisotropy. The anisotropic media is modeled by means of a permittivity tensor with non-diagonal elements and absorbing boundary conditions are also considered. […]

The multi-scale nature of the electrophysiology problem requires the use of fine temporal and spatial resolutions leading to models with millions of degrees of freedom that need to be solved for a thousand time steps. Solution of this problem requires the use of algorithms with higher level of parallelism in multi-core platforms. The newer programmable […]

Nowadays, a heat and mass transfer simulation plays an important role in various engineering and industrial fields. To analyze physical behaviors of a thermal environment, we have to simulate heat and mass transfer phenomena. However to obtain numerical solutions to heat and mass transfer equations is much time-consuming. In this paper, therefore, one of acceleration […]

We introduce and discuss a parallel SAR backprojection algorithm using a Non-Uniform FFT (NUFFT) routine implemented on a GPU in CUDA language. The details of a convenient GPU implementation of the NUFFT-based SAR backprojection algorithm, amenable to further generalizations to a multi-GPU architecture, are also given. The performance of the approach is analyzed in terms […]

Amplicon Noise [1], an updated version of Pyronoise [2], is a tool for removing noise from metagenomic data recorded by a 454 pyrosequencer. Amplicon Noise has shown to be effective in reducing overestimation of operational taxonomic units (OTUs) and chimera detection. Amplicon-Noise’s noise removal method relies on clustering a large set of short sequences read […]

We present Sigma*, a novel technique for learning symbolic models of software behavior. Sigma* addresses the challenge of synthesizing models of software by using symbolic conjectures and abstraction. By combining dynamic symbolic execution to discover symbolic input-output steps of the programs and counterexample guided abstraction refinement to over-approximate program behavior, Sigma* transforms arbitrary source representation […]

Derived field generation is a critical aspect of many visualization and analysis systems. This capability is frequently implemented by providing users with a language to create new fields and then translating their "programs" into a pipeline of filters that are combined in sequential fashion. Although this design is highly extensible and practical for development, the […]