high performance computing on graphics processing units: hgpu.org

CPU-GPU clusters have emerged as a dominant HPC platform, with the three of the four fastest supercomputers in the world falling in this category. The reasons for the popularity of these environments include their cost-effectiveness and energy efficiency. The need for exploiting both the CPU and GPU on each node of such platforms has created […]

In this contribution we show how consumer graphic processors (GPUs) in conjunction with a suited numerical method can be used for the inexpensive design and optimization of small and medium sized rf components. The underlying scheme is implemented in an open source framework which is readily available. As an application example we present simulations of […]

We implemented two- and three-dimensional Rayleigh-Benard convection on Nvidia GPUs by utilizing a 2nd-order finite difference method. By exploiting the massive parallelism of GPU using both CUDA for C and optimized CUBLAS routines, we have on a single Fermi GPU run simultaneous of Raileigh number up to 6×10^10 (on a mesh of 2000×4000 uniform grid […]

Understanding turbulent transport in magnetised plasmas is a subject of major importance to optimise experiments in tokamak fusion reactors. Also, simulations of fusion plasma consume a great amount of CPU time on today’s supercomputers. The Vlasov equation provides a useful framework to model such plasma. In this paper, we focus on the parallelization of a […]

Coprocessors such as GPUs are increasingly being deployed in clusters to process scientific and compute-intensive jobs. In this work, we study if GPU-based heterogeneous clusters can benefit client-server applications. Specifically, we consider the practical situation where multiple client-server applications share a heterogeneous cluster (multi-tenancy), and experience unpredictable variations in incoming client request rates, including steep […]

We have developed a software package to automatically generate spectrometers with minimal user input. Spectrometer design is often done by building the instrument from scratch. We have automated this design, creating a parameterized spectrometer that only requires a recompile to implement a change in specification. This spectrometer combines FPGAs and GPUs, doing coarse channelization on […]

The proposed approach is aimed at implementation by explicit difference schemes having a simple structure. By the analogy with the kinetically-consistent finite difference schemes and the quasi-gas dynamic system of equations [1,2] the classical model of slightly compressible fluid flows in porous media is modified taking into account the minimal scales of averaging on space […]

The complexity of biological systems is enormous, even when considering a single cell where a multitude of highly parallel and intertwined processes take place on the molecular level. This paper focuses on the parallel simulation of signal transduction processes within a cell carried out solely on the graphics processing unit (GPU). Each signaling molecule is […]

PURPOSE: Image segmentation techniques using fuzzy connectedness (FC) principles have shown their effectiveness in segmenting a variety of objects in several large applications. However, one challenge in these algorithms has been their excessive computational requirements when processing large image datasets. Nowadays, commodity graphics hardware provides a highly parallel computing environment. In this paper, the authors […]

In this paper, we first described the concept of k-anonymity and different approaches of its implementation, by formalizing the main theoretical notions. Afterwards, we have analyzed, based on a practical example, how the k-anonymity approach applies to the data-mining process in order to protect the identity and privacy of clients to whom the data refers. […]

The scattering of acoustic waves has been of practical interest for the petroleum industry, mainly in the determination of new oil deposits. A family of computational models that represent this phenomenon is based on finite difference methods. The simulation of these phenomena demands a high computational cost and large amounts of available memory. In this […]

Considering the importance and usefulness of real time data mining, in recent years the concern of researchers to discover new hardware architectures that can manage and process large volumes of data has increased significantly. In this paper the performance of algorithms for temporal data mining that are implemented in the new Compute Unified Device Architecture […]