high performance computing on graphics processing units: hgpu.org

Current pathplanning algorithms are not efficient enough to provide optimal pathplanning in dynamic environments for a large number of agents in real time. Furthermore, there are no real-time algorithms that fully use the potential of parallelism. The goal of this thesis is to find a basis for such an algorithm. Based on the literature study, […]

This paper introduces novel method of simulation of lipid biomembranes based on Metropolis Hastings algorithm and Graphic Processing Unit computational power. Method gives up to 55 times computational boost in comparison to classical computations. Extensive study of algorithm correctness is provided. Analysis of simulation results and results obtained with classical simulation methodologies are presented.

OpenCL is a relatively new standard that supports computation on a variety of parallel architectures. The author was unable to find reliable information about performance of OpenCL programs on CPU’s in comparison to traditional parallel processing standards like OpenMP. This paper describes the results of an experiment that tries to answer the following question: "Which […]

In high-frequency trading of option, "milliseconds earn or lose millions", the computational speed of predicting option price is the crucial factor for option traders to efficiently decide the price and evaluate the corresponding risk.Black-Scholes equation is a mathematical equation describing the option pricing over time. Multi-GPU is a recently developed platform for high-performance computing, which […]

Graphics processing units (GPUs) have attracted enormous interest over the past decade due to substantial increases in both performance and programmability. Programmers can potentially leverage GPUs for substantial performance gains, but at the cost of significant software engineering effort. In practice, most GPU applications do not effectively utilize all of the available resources in a […]

Graphics processing units (GPUs) have become an important platform for general-purpose computing, thanks to their high parallel throughput and high memory bandwidth. GPUs present significantly different architectures from CPUs and require specific mappings and optimizations to achieve high performance. This makes GPU workloads demonstrate application characteristics different from those of CPU workloads. It is critical […]

Driven by the goals of efficient and generic communication of noncontiguous data layouts in GPU memory, for which solutions do not currently exist, we present a parallel, noncontiguous data-processing methodology through the MPI datatypes specification. Our processing algorithm utilizes a kernel on the GPU to pack arbitrary noncontiguous GPU data by enriching the datatypes encoding […]

The initial wave of programming models for general-purpose computing on GPUs, led by CUDA and OpenCL, has provided experts with low-level constructs to obtain significant performance and energy improvements on GPUs. However, these programming models are characterized by a challenging learning curve for non-experts due to their complex and low-level APIs. Looking to the future, […]

In the field of video compression, motion estimation (ME) is a process that leads to high computational complexity. Implementation of ME block-matching (BM) algorithms on general purpose Central Processing Unit (CPU), has resulted in poor performance. In this paper we investigate the performance of two BM ME algorithms: Three Step Search (TSS) and Four Step […]

Hyperspectral imaging sensor becomes increasingly important in multi-sensor collaborative observation. The spectral mixture problem seriously influences the efficiency of hyperspectral data exploitation, and endmember extraction is one of the key issues. Due to the high computational cost of algorithm and massive quantity of the hyperspectral sensor data, high-performance computing is extremely demanded for those scenarios […]

Motion estimation with variable block sizes (VBSME) is one of the most complex models in the HEVC encoder. The HEVC standard supports up to 12 variable block sizes ranging from 4×8/8×4 to 64×64 for motion estimation (ME) and motion compensation (MC). This feature contributes substantial coding gain compared with 7 variable block sizes in H.264/AVC […]

The increasing availability of satellite imagery acquired by existing and new sensors allows a wide variety of new applications that depend on the use of diverse spectral and spatial resolution data sets. One of the pre-conditions for the use of hybrid image data sets is a consistent geo-correction capacity. We demonstrate how a novel fast […]