high performance computing on graphics processing units: hgpu.org

Modern graphics cards contain hundreds of cores that can be programmed for intensive calculations. They are beginning to be used for spiking neural network simulations. The goal is to make parallel simulation of spiking neural networks available to a large audience, without the requirements of a cluster. We review the ongoing efforts towards this goal, […]

In this work we present a parallelization technique, together with its GPU implementation, for the full-search block-matching algorithm. This problem consists in finding the block that best matches a given reference template in terms of some photometric measure within a predefined search area. Block matching is a fundamental processing step for many signal-processing applications. Its […]

In this paper we compare a Haskell system that exploits a GPU back end using Obsidian against a number of other GPU/parallel processing systems. Our examples demonstrate two major results. Firstly they show that the Haskell system allows the applications programmer to exploit GPUs in a manner that eases the development of parallel code by […]

We adopt CUDA-capable Graphic Processing Units (GPUs) for Coulomb, Landau and maximally Abelian gauge fixing in 3+1 dimensional SU(3) lattice gauge field theories. The local overrelaxation algorithm is perfectly suited for highly parallel architectures. Simulated annealing preconditioning strongly increases the probability to reach the global maximum of the gauge functional. We give performance results for […]

The least squares problem is an extremely useful device to represent an approximate solution to overdetermined systems, and a QR factorisation is a common method for solving least squares problems. It is often the case that multiple least squares solutions have to be computed with only minor changes in the underlying data. In this case, […]

GPU computing has emerged in recent years as a viable execution platform for throughput oriented applications or regions of code. GPUs started out as independent units for program execution but there are clear trends towards tight-knit CPU-GPU integration. In this work, we will examine existing research directions and future opportunities for chip integrated CPU-GPU systems. […]

We present an implementation of the analysis of dynamic near field scattering (NFS) data using a graphics processing unit (GPU). We introduce an optimized data management scheme thereby limiting the number of operations required. Overall, we reduce the processing time from hours to minutes, for typical experimental conditions. Previously the limiting step in such experiments, […]

We propose, implement, and experimentally evaluate a runtime middleware to support high-throughput execution on hybrid cluster machines of large-scale analysis applications. A hybrid cluster machine consists of computation nodes which have multiple CPUs and general purpose graphics processing units (GPUs). Our work targets scientific analysis applications in which datasets are processed in application-specific data chunks, […]

In this paper, we address the problem of efficient execution of a computation pattern, referred to here as the irregular wavefront propagation pattern (IWPP), on hybrid systems with multiple CPUs and GPUs. The IWPP is common in several image processing operations. In the IWPP, data elements in the wavefront propagate waves to their neighboring elements […]

TOPICS OF INTEREST AT THE CONFERENCE: Some topics are mentioned below but are not restricted to 1. Large-scale problems using GPU and hybrid systems 2. physical, chemical, biological, geological and industrial applications 3. Techniques for optimizing kernels in GPU and other many-core systems (MIC) 4. mixed precision computing 5. Benchmarking and performance evaluation for GPU, MIC, and hybrid systems 6. Visualization tools and techniques […]

Refined models have been an important development trend of urban regional seismic damage prediction. However, the application of refined models has been limited due to their high computational cost if implemented on traditional Central Processing Unit (CPU) platforms. In recent years, Graphics Processing Unit (GPU) technology has been developed and applied rapidly due to its […]

Modern PCs are equipped with multi-many core capabili-ties which enhance their computational power and address important issues related to the efficiency of the scheduling processes of the modern operating system in such hybrid architectures. The aim of our work is to implement a simulation framework devoted to the study of the scheduling process in hybrid […]