high performance computing on graphics processing units: hgpu.org

Compute-intensive data-analytic (CIDA) applications have become a major component of many different business domains, as well as scientific computing applications. These algorithms stem from domains as diverse as web analysis and social networks, machine learning and data mining, text analysis, bio-informatics, astronomy image analysis, business analytics, large scale graph algorithms, image/video processing and recognition, some […]

3D ECT provides a lot of challenging computational issues as image reconstruction requires execution of many basic operations of linear algebra, especially when the solutions are based on Finite Element Method. In order to reach real-time reconstruction a 3D ECT computational subsystem has to be able to transform capacitance data into image in fractions of […]

Traffic models based on cellular automata have high computational efficiency because of their simplicity in describing unrealistic vehicular behavior and the versatility of cellular automata to be implemented on parallel processing. On the other hand, the other microscopic traffic models such as car-following models are computationally more expensive, but they have more realistic driver behaviors […]

While recent developments in the field of ventricular blood flow simulations have pushed modeling to increasingly high levels of accuracy, there has been a steep cost in computation time. Current state-of-the-art simulators take days to run, which is impractical for use in a clinical setting. In this paper, we describe novel adaptations of the SPH […]

Selective, embedded, just-in-time specialization (SEJITS) is a technique for optimizing embedded domain-specific languages through the use of specializers, or code modules developed by expert programmers that target particular accelerators such as multicore processors and GPUs via just-in-time compilation. We extend SEJITS to exploit inter-machine parallelism by targeting clusters of machines via MapReduce. Our work enables […]

Three-dimensional wavelet transform (3D-DWT) has focused the attention of the research community, most of all in areas such as video watermarking, compression of volumetric medical data, multispectral image coding, 3D model coding and video coding. In this work, we present several strategies to speed-up the 3D-DWT computation through multicore processing. An in depth analysis about […]

The Web is constantly generating streams of textual information in the form of News articles and Tweets. In order for Information Retrieval systems to make sense of all this data partitional clustering algorithms are used to create groups of similar documents. Traditional clustering algorithms, like K-means, are not well suited for stream processing where the […]

Accelerator devices like the General Purpose Graphics Computing Units (GPGPUs) play an important role in enhancing the performance of many contemporary scientific applications. However, programming GPUs using languages like C for CUDA or OpenCL requires relatively high investment of time and the resulting programs are often fine-tuned to perform well only on a particular device. […]

Current GPU computing models support a mixture of coherent and incoherent classes of memory operations. Workloads using these models typically have working sets too large to fit in an economical SRAM structure. Still, GPU architectures have last-level caches to primarily fulfill two functions: eliminate redundant DRAM accesses servicing requests from different L1 caches to the […]

A novel phase-space source implementation has been designed for GPU-based Monte Carlo dose calculation engines. Due to the parallelized nature of GPU hardware, it is essential to simultaneously transport particles of the same type and similar energies but separated spatially to yield a high efficiency. We present three methods for phase-space implementation that have been […]

The ease of programming offered by the CUDA programming model attracted a lot of programmers to try the platform for acceleration of many non-graphics applications. Cryptography, being no exception, also found its share of exploration efforts, especially block ciphers. In this contribution we present a detailed walk-through of effective mapping of HC-128 and HC-256 stream […]

We present an accelerated numerical solver for the scalar wave equation using one and two GPUs. We consider complex geometry and study accuracy when performing the computation in both single and double precision. The method uses a high-order accurate approximation of the derivatives using summation-by-parts operators. The boundary conditions are imposed using the simultaneous approximation […]