high performance computing on graphics processing units: hgpu.org

A novel, hybrid parallel C++ framework for computational solid mechanics is developed and presented. The modular and extensible design of this framework allows it to support a wide variety of numerical schemes including discontinuous Galerkin formulations and higher order methods, multiphysics problems, hybrid meshes made of different types of elements and a number of different […]

Molecular Dynamics (MD) simulation is a computationally intensive application used in multiple fields. It can exploit a distributed environment due to inherent computational parallelism. However, most of the existing implementations focus on performance enhancement. They may not provide fault-tolerance for every time-step. MapReduce is a framework first proposed by Google for processing huge amounts of […]

The goal of the internship was to develop a linear wave-based simulation of ultrasonic fields. The theory was based on the Tupholme-Stepanishen formalism explained in the Jensen course for calculating pulsed ultrasound field. The Field II Simulation Program developed at the Technical University of Denmark does that simulation but the program runs slowly due to […]

We parallelize a version of the active-set iterative algorithm derived from the original works of Lawson and Hanson [Solving Least Squares Problems, Prentice-Hall, 1974] on multicore architectures. This algorithm requires the solution of an unconstrained least squares problem in every step of the iteration for a matrix composed of the passive columns of the original […]

This is a preliminary report on parallel pseudo-random number generation. It was written under tight time constraints, so makes no claim to being an exhaustive survey of the field, which is already extensive, and in a state of flux as new computer architectures are introduced.

The work focuses on utilization of massivelly parallel processors for image compression acceleration. The text of the work studies GPU architecture, common GPU programming frameworks, and domain specific languages providing higher-level programming abstraction. The aim of the PhD thesis is to contribute to the effective software development for massively parallel processors through a domain specific […]

Recently, graphics processing units (GPUs) have had great success in accelerating many numerical computations. We present their application to computations on unstructured meshes such as those in finite element methods. Multiple approaches in assembling and solving sparse linear systems with NVIDIA GPUs and the Compute Unified Device Architecture (CUDA) are created and analyzed. Multiple strategies […]

In seeking to model realistic room acoustics, direct numerical simulation can be employed. This paper presents 3D Finite Difference Time Domain schemes that incorporate losses at boundaries and due to the viscosity of air. These models operate within a virtual room designed on a detailed floor plan. The schemes are computed at 44.1kHz, using large-scale […]

Stochastic computing performs operations using streams of bits that represent probability values instead of deterministic values. An important benefit of stochastic computing is that it can tolerate a large number of failures in a noisy system. Additionally, for the VLSI implementation of a sophisticated algorithm, a stochastic implementation can consume much less hardware with lower […]

Software simulation is the primary tool used for evaluation of processor design. Simulation offers better accuracy than analytical models and is an important evaluation step before actually fabricating a chip. Unfortunately, simulator speeds are slow — a conventional cycle-accurate simulator will be unable to keep up with increasing core counts in modern processor design. Parallel […]

This paper is a major step towards a pioneering software framework for the reusable design and implementation of parallel metaheuristics on Graphics Processing Units (GPU). The objective is to revisit the ParadisEO framework to allow its utilization on GPU accelerators. The focus is on local search metaheuristics and the parallel exploration of their neighborhood. The […]

We describe computational experiments exploring the performance improvements from overlapping computation and communication on hybrid parallel computers. Our test case is explicit time integration of linear advection with constant uniform velocity in a three-dimensional periodic domain. The test systems include a Cray XT5, a Cray XE6, and two multicore Infiniband clusters with different generations of […]