high performance computing on graphics processing units: hgpu.org

We advocate the use of high-level OS abstractions in heterogeneous systems, such as CPU-GPU hybrids. We suggest the idea of an inter-device shared file system (IDFS) for such architectures. The file system provides a unified storage space for seamless data sharing among processors and accelerators via a standard wellunderstood interface. It hides the asymmetric nature […]

Passwords are still one of the most common means of securing computer systems. Most organizations rely on password authentication systems, and therefore, it is very important for them to enforce their users to have strong passwords. They usually try to enforce security by mandating users to follow password creation policies. They force users to follow […]

Machine tools play an important role in manufacturing, but it is not easy to ensure efficiency and low cost, for machine tools. A machine tool simulation and evaluation system is urgently required. This paper presents an integrated machine tool simulation and evaluation system, which incorporates 3-D motion simulation and collision detection. The evaluation system incorporates […]

Bayesian inference with Bayesian networks is a #P-complete problem in general. Exact Bayesian inference is feasible in practice only on small-scale Bayesian networks or networks that are dramatically simplified, such as with naive Bayes or other approximations. Stochastic sampling methods, in particular importance sampling, form one of the most prominent and efficient approximate inference techniques […]

In this work, we present the concept, design and implementation of a new software to visualize and segment 3-dimensional medical data. The main goal was to create a platform that would allow to try out new approaches and ideas while staying independent from hardware and operating system, being especially useful for interdisciplinary research groups. A […]

Before an intervention on a nuclear site, it is essential to study different scenarios to identify the less dangerous one for the operator. Therefore, it is mandatory to dispose of an efficient dosimetry simulation code with accurate results. One classical method in radiation protection is the straight-line attenuation method with build-up factors. In the case […]

We discuss finite volume errors in our calculations of $B_K$ using improved staggered fermions on the MILC asqtad lattices. Using GPUs, we are now able to extrapolate using next-to-leading order (NLO) staggered SU(2) chiral perturbation theory including the finite volume corrections arising from pion loops. We find that the impact of FV fitting is very […]

GPU has a significantly higher performance in single-precision computing than that of double precision. Hence, it is important to take a maximal advantage of the single precision in the CG inverter, using the mixed precision method. We have implemented mixed precision algorithm to our multi GPU conjugate gradient solver. The single precision calculation use half […]

In this paper we show how it is possible to improve the efficiency of existing holistic forms of object detection by refining detection areas to smaller subsets. Although this method can be applied to any form of object detection, this paper will specifically focus on the topic of pedestrian detection in lowresolution non-stationary video footage.

With the ubiquity of multicore computing, and the likely expansion of it, it seems irresponsible for constraints researchers to ignore the implications of it. Therefore, the authors have recently begun investigating the literature in constraints on exploitation of parallel systems for constraint solving. We have been compiling an incomplete, biased, and ill-written review of this […]

Using multi-GPU systems, including GPU clusters, is gaining popularity in scientific computing. However, when using multiple GPUs concurrently, the conventional data parallel GPU programming paradigms, e.g., CUDA, cannot satisfactorily address certain issues, such as load balancing, GPU resource utilization, overlapping fine grained computation with communication, etc. In this paper, we present a fine-grained task-based execution […]

In this paper, an energy efficient architecture for Build Energy Efficient GPU and CPU Cluster Using DRBL is proposed. This architecture helps administrator not only to quickly deploy and manage GPU and CPU Cluster environment, but also bring benefit of energy efficiency in scientific computing. The experiment simulates 3 cases to prove energy efficiency. We […]