high performance computing on graphics processing units: hgpu.org

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 […]

Extensions to the C++ implementation of the QCD Data Parallel Interface are provided enabling acceleration of expression evaluation on NVIDIA GPUs. Single expressions are off-loaded to the device memory and execution domain leveraging the Portable Expression Template Engine and using Just-in-Time compilation techniques. Memory management is automated by a software implementation of a cache controlling […]

In the era of synoptic surveys, the number of known gravitationally lensed quasars is set to increase by over an order of magnitude. These new discoveries will enable a move from single-quasar studies to investigations of statistical samples, presenting new opportunities to test theoretical models for the structure of quasar accretion discs and broad emission […]

Graphic Processing Units (GPUs) are made up of many streaming multiprocessors, each consisting of processing cores that interleave the execution of a large number of threads. Groups of threads – called warps and wave fronts, respectively, in nVidia and AMD literature – are selected by the hardware scheduler and executed in lockstep on the available […]

In this paper, we will present the implementation of a deconvolution algorithm for brain perfusion quantification on GPGPU (General Purpose Graphics Processor Units) using the CUDA programming model. GPUs originated as graphics generation dedicated co-processors, but the modern GPUs have evolved to become a more general processor capable of executing scientific computations. It provides a […]