high performance computing on graphics processing units: hgpu.org

Statistical algorithms such as Monte Carlo integration are good candidates to run on graphics processing units. The heart of these algorithms is random number generation, which generally has been done on the CPU. In this paper we present GPU implementations of three random number generators. We show how to overcome limitations of GPU hardware that […]

We present a unique and elegant graphics hardware realization of multi agent simulation. Specifically, we adapted Velocity Obstacles that suits well parallel computation on single instruction, multiple thread, SIMT, type architecture. We explore hash based nearest neighbors search to considerably optimize the algorithm when mapped on to the GPU. Moreover, to alleviate inefficiencies of agent […]

Human detection has always been an important part of computer vision but many implementations lack the real-time performance that real world applications require. This paper presents a real-time implementation of human detection in video using the state-of-the-art histograms of oriented gradients method. Each image in the video sequence is tested at multiple scales using a […]

The introduction of NVidia’s powerful Tesla GPU hardware and Compute Unified Device Architecture (CUDA) platform enable many-core parallel programming. As a result, existing algorithms implemented on a GPU can run many times faster than on modern CPUs. Relatively little research has been done so far on GPU implementations of discrete optimisation algorithms. In this paper, […]

In this paper, we present a novel skeletal rigid skinning approach. First, we introduce a skeleton extraction technique that produces refined skeletons appropriate for animation from decomposed solid models. Then, to avoid the artifacts generated in previous rigid skinning approaches and the associated high training costs, we develop an efficient and robust rigid skinning technique […]

Todays ultrasound equipment consists mainly of a PC that is attached to several large cards that process the received signals in hardware. These cards take up a lot of space and are costly to develop. As processing power in PC’s increase it is possible move some of this signal processing from specialized hardware to standard […]

The simulation of large crowds of characters is important in many fields of virtual reality, as they can increase the credibility of the virtual environments. Rendering large crowd of characters requires a great mount of computational power. To increase the efficiency for this render, we propose a GPU-based crowd rendering method. We present a novel […]

The forces modeling and simulation (FMS) community has often been hampered by constraints in computing: not enough resolution, not enough entities, not enough behavioral variants. High performance computing can ameliorate those constraints. The use of Linux clusters is one path to higher performance; the use of graphics processing units (GPU) as accelerators is another. Merging […]

Phase-based optical flow algorithms are characterized by high precision and robustness, but also by high computational requirements. Using the CUDA platform, we have implemented a phase-based algorithm that maps exceptionally well on the GPUs architecture. This optical flow algorithm revolves around a reliability measure that evaluates the consistency of phase information over time. By exploiting […]

A novel and efficient Synthetic Aperture Radar (SAR) processor is introduced in this paper. This new processor is implemented on the Graphics Processing Unit (GPU). GPU is traditionally used for graphics rendering, but in recent years, it has rapidly evolved as a highly-parallel processor with tremendous computation capability and ultra-high memory bandwidth. The algorithm of […]

The authors present a GPU-based method for generating and verifying cutter paths for numerically controlled milling. A CAM system based on this technology is now employed in production at Mazda Motor Corporation for manufacturing stamping dies. This system can compute cutter paths more than 20 times faster than previous methods

As technology continues to shrink, reducing leakage is critical to achieve energy efficiency. Previous works on low-power GPU (graphics processing unit) focus on techniques for dynamic power reduction, such as DVFS (Dynamic Voltage/Frequency Scaling) and clock gating. In this paper, we explore the potential of adopting architecture-level power gating techniques for leakage reduction on GPU. […]