high performance computing on graphics processing units: hgpu.org

The purpose of this conference is to share state-of-the-art research findings and experience across the full range of Computational Mechanics. The conference organising committee is particularly keen to encourage the participation of young researchers, including PhD students and research assistants. The Conference will emphasize on recent developments in the field of Computational Mechanics through a […]

In this work we describe a GPU implementation of a first order two-layer Savage-Hutter type model introduced by E. D. Fernandez-Nieto et al in 2008 to simulate tsunamis generated by underwater landslides using the CUDA framework over structured meshes. We also describe an extension of this implementation which exploits the parallel power of a GPU […]

Computer Network based problems often require searching a node from another and finding a path from one node to another. To solve this we use graph algorithms. Solving these problems takes a lot of time and knowledge when solved manually. For this purpose graph algorithms where devised and solving these problems became easier but the […]

Synthesizing new images from given image pair and their corresponding depth maps is an essential function for many 3D video applications. Exemplar-based inpainting methods have been proposed in recent years to be used to restore newly synthesized images by strategically filling the missing pixels which don’t have any references due to occlusion. Due to the […]

We present the design and evaluation of a Datalog engine for execution in Graphics Processing Units (GPUs). The engine evaluates recursive and non-recursive Datalog queries using a bottom-up approach based on typical relational operators. It includes a memory management scheme that automatically swaps data between memory in the host platform (a multicore) and memory in […]

We present a fully automated approach to project the relative performance of an OpenCL program over different GPUs. Performance projections can be made within a small amount of time, and the projection overhead stays relatively constant with the input data size. As a result, the technique can help runtime tools make dynamic decisions about which […]

With at least 50 cores, Intel Xeon Phi is a true many-core architecture. Featuring fairly powerful cores, two cache levels, and very fast interconnections, the Xeon Phi can get a theoretical peak of 1000 GFLOPs and over 240 GB/s. These numbers, as well as its flexibility – it can be used both as a coprocessor […]

Modern GPUs are powerful high-core-count processors, which are no longer used solely for graphics applications, but are also employed to accelerate computationally intensive general-purpose tasks. For utmost performance, GPUs are distributed throughout the cluster to process parallel programs. In fact, many recent high-performance systems in the TOP500 list are heterogeneous architectures. Despite being highly effective […]

Efficiently studying Sodium Dodecyl Sulfate (SDS) molecules’ formations in the presence of different molar concentrations on high-end GPU clusters whose nodes share accelerators exposes us to several challenges, including the need to dynamically adapt the job lengths. Neither virtualization nor lightweight OS solutions can easily support generality, portability, and maintainability in concert. Our solution complements […]

Parallel algorithms for modern high performance computing systems are required for fast modelling of high dimensional convection-diffusion processes in air. Such algorithms, designed for alternate-triangular finite difference splitting schemes applied to convection-diffusion equation, have been considered. An algorithm for single GPU systems and an algorithm for clusters with graphical processors has been described, algorithms’ performance […]

A flexible and extensible simulation tool architecture, called gpusim, is proposed for heterogeneous grid systems with graphics accelerators. The tool is based on open source Java framework GridSim. Checking for models adequacy and their initial investigation has been performed using known examples of parallel computation problems. The tool allows choosing the most optimal setting parameters […]

IceCube is a one-gigaton neutrino detector designed to detect high-energy cosmic neutrinos. It is located at the geographic South Pole and was completed at the end of 2010. Simulation and data processing for IceCube requires a significant amount of computational power. We describe the design and functionality of IceProd, a management system based on Python, […]