15411
Ashwin Trikuta Srinath
Compact finite difference schemes are widely used in the direct numerical simulation of fluid flows for their ability to better resolve the small scales of turbulence. However, they can be expensive to evaluate and difficult to parallelize. In this work, we present an approach for the computation of compact finite differences and similar tridiagonal schemes […]
View View   Download Download (PDF)   
Justin Crause
The authoring of realistic terrain models is necessary to generate immersive virtual environments for computer games and film visual effects. However, creating these landscapes is difficult – it usually involves an artist spending many hours sculpting a model in a 3D design program. Specialised terrain generation programs exist to rapidly create artificial terrains, such as […]
View View   Download Download (PDF)   
Prateek Tandon
The confluence of the rapid growth in electronic data in recent years, and the renewed interest in domain-specific hardware accelerators presents exciting technical opportunities. Traditional scale-out solutions for processing the vast amounts of text data have been shown to be energy- and cost-inefficient. In contrast, custom hardware accelerators can provide higher throughputs, lower latencies, and […]
View View   Download Download (PDF)   
Yifei Li
Measuring the similarity between two streamlines is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying and streamline clustering. This dissertation presents a novel streamline similarity measure inspired by the bag-of-features concept from computer vision. Different from other streamline similarity measures, the proposed one considers both the distribution […]
David Webb
Current embedded multi object tracking system implementations are dominated by the use of Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs) as application accelerators. These offer many of the traits desirable for embedded and real time systems, including; task oriented architectures, deterministic latency and low power requirements. The drawbacks to these approaches […]
View View   Download Download (PDF)   
Andoni Azkarate Saiz
Deep neural networks have recently gained popularity for improving state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Modern award-winning architectures have systematically surpassed previous attempts […]
View View   Download Download (PDF)   
Luka Stanisic
The evolution of High-Performance Computing systems has taken asharp turn in the last decade. Due to the enormous energyconsumption of modern platforms, miniaturization and frequencyscaling of processors have reached a limit. The energy constraintshas forced hardware manufacturers to develop alternative computerarchitecture solutions in order to manage answering the ever-growingneed of performance imposed by the scientists […]
View View   Download Download (PDF)   
Peng Mi
Interactive visual analysis has been a key component of gaining insights in information visualization area. However, the amount of data has increased exponentially in the past few years. Existing information visualization techniques lack scalability to deal with big data, such as graphs with millions of nodes, or millions of multidimensional data records. Recently, the remarkable […]
View View   Download Download (PDF)   
Tobias Klein
The utilization of GPUs and the massively parallel computing paradigm have become increasingly prominent in many research domains. Recent developments of platforms, such as OpenCL and CUDA, enable the usage of heterogeneous parallel computing in a wide-spread field. However, the efficient utilization of parallel hardware requires profound knowledge of parallel programming and the hardware itself. […]
View View   Download Download (PDF)   
Seyed Parsa Banihashemi
The Explicit Finite Element Method is a powerful tool in nonlinear dynamic finite element analysis. Recent major developments in computational devices, in particular, General Purpose Graphical Processing Units (GPGPU’s) now make it possible to increase the performance of the explicit FEM. This dissertation investigates existing explicit finite element method algorithms which are then redesigned for […]
View View   Download Download (PDF)   
Jean-Francois Dollinger
Technological limitations faced by the semi-conductor manufacturers in the early 2000’s restricted the increase in performance of the sequential computation units. Nowadays, the trend is to increase the number of processor cores per socket and to progressively use the GPU cards for highly parallel computations. Complexity of the recent architectures makes it difficult to statically […]
View View   Download Download (PDF)   
Mohammed Abdelrahim
Unlike machines, humans and animals have very complex reasoning capability that allows them to adapt to changes in the naturally world, while computers tend to be very limited in that same aspect. What limits machines from becoming adaptable can span many topics, but of these attributes which would limit a machines ability to adapt is […]
View View   Download Download (PDF)   
Page 1 of 8612345...102030...Last »

* * *

* * *

Follow us on Twitter

HGPU group

1731 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

365 people like HGPU on Facebook

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: