Results 1 - 10 of 2,052

Ptolemy: A Framework for Simulating and Prototyping Heterogeneous Systems

by Joseph Buck, Soonhoi Ha, Edward A. Lee, David G. Messerschmitt , 1992
"... Ptolemy is an environment for simulation and prototyping of heterogeneous systems. It uses modern object-oriented software technology (C++) to model each subsystem in a natural and efficient manner, and to integrate these subsystems into a whole. Ptolemy encompasses practically all aspects of design ..."
Abstract - Cited by 571 (89 self) - Add to MetaCart
of designing signal processing and communications systems, ranging from algorithms and communication strategies, simulation, hardware and software design, parallel computing, and generating real-time prototypes. To accommodate this breadth, Ptolemy must support a plethora of widely-differing design styles

Brook for GPUs: Stream Computing on Graphics Hardware

by Ian Buck, Tim Foley, Daniel Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan - ACM TRANSACTIONS ON GRAPHICS , 2004
"... In this paper, we present Brook for GPUs, a system for general-purpose computation on programmable graphics hardware. Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming coprocessor. We present a compiler and runtime system that abstracts and virtua ..."
Abstract - Cited by 224 (9 self) - Add to MetaCart
In this paper, we present Brook for GPUs, a system for general-purpose computation on programmable graphics hardware. Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming coprocessor. We present a compiler and runtime system that abstracts

Data Parallel Computation on Graphics Hardware

by Ian Buck , Pat Hanrahan , 2003
"... As the programmability and performance of modern GPUs continues to increase, many researchers are looking to graphics hardware to solve problems previously performed on general purpose CPUs. In many cases, performing general purpose computation on graphics hardware can provide a significant advantag ..."
Abstract - Cited by 19 (0 self) - Add to MetaCart
As the programmability and performance of modern GPUs continues to increase, many researchers are looking to graphics hardware to solve problems previously performed on general purpose CPUs. In many cases, performing general purpose computation on graphics hardware can provide a significant

Linear Algebra Operators for GPU Implementation of Numerical Algorithms

by Jens Krüger, Rüdiger Westermann - ACM Transactions on Graphics , 2003
"... In this work, the emphasis is on the development of strategies to realize techniques of numerical computing on the graphics chip. In particular, the focus is on the acceleration of techniques for solving sets of algebraic equations as they occur in numerical simulation. We introduce a framework for ..."
Abstract - Cited by 324 (9 self) - Add to MetaCart
for the implementation of linear algebra operators on programmable graphics processors (GPUs), thus providing the building blocks for the design of more complex numerical algorithms. In particular, we propose a stream model for arithmetic operations on vectors and matrices that exploits the intrinsic parallelism

Nonlinear Diffusion in Graphics Hardware

by M. Rumpf, R. Strzodka, Universität Bonn - In Proceedings of EG/IEEE TCVG Symposium on Visualization VisSym ’01 , 2001
"... Multiscale methods have proved to be successful tools in image denoising, edge enhancement and shape recovery. They are based on the numerical solution of a nonlinear diffusion problem where a noisy or damaged image which has to be smoothed or restorated is considered as initial data. Here a novel a ..."
Abstract - Cited by 40 (2 self) - Add to MetaCart
approach is presented which will soon be capable to ensure real time performance of these methods. It is based on an implementation of a corresponding finite element scheme in texture hardware of modern graphics engines. The method regards vectors as textures and represents linear algebra operations

Genetically improved CUDA C++ software

by W. B. Langdon, M. Harman - In 17th European Conference on Genetic Programming (EuroGP , 2014
"... Abstract. Genetic Programming (GP) may dramatically increase the performance of software written by domain experts. GP and autotuning are used to optimise and refactor legacy GPGPU C code for modern parallel graphics hardware and software. Speed ups of more than six times on recent nVidia GPU cards ..."
Abstract - Cited by 10 (9 self) - Add to MetaCart
Abstract. Genetic Programming (GP) may dramatically increase the performance of software written by domain experts. GP and autotuning are used to optimise and refactor legacy GPGPU C code for modern parallel graphics hardware and software. Speed ups of more than six times on recent nVidia GPU cards

Fast matrix multiplies using graphics hardware

by E. Scott Larsen , 2001
"... We present a technique for large matrix-matrix multiplies using low cost graphics hardware. The result is computed by literally visualizing the computations of a simple parallel processing algorithm. Current graphics hardware technology has limited precision and thus limits immediate applicability o ..."
Abstract - Cited by 121 (0 self) - Add to MetaCart
We present a technique for large matrix-matrix multiplies using low cost graphics hardware. The result is computed by literally visualizing the computations of a simple parallel processing algorithm. Current graphics hardware technology has limited precision and thus limits immediate applicability

Radiosity on graphics hardware

by Greg Coombe, Mark J. Harris, Anselmo Lastra - In Proceedings of the 2004 Conference on Graphics Interface , 2004
"... Radiosity is a widely used technique for global illumination. Typically the computation is performed offline and the result is viewed interactively. We present a technique for computing radiosity, including an adaptive subdivision of the model, using graphics hardware. Since our goal is to run at in ..."
Abstract - Cited by 62 (6 self) - Add to MetaCart
at interactive rates, we exploit the computational power and programmability of modern graphics hardware. Using our system on current hardware, we have been able to compute and display a radiosity solution for a 10,000 element scene in less than one second. Key words: Graphics Hardware, Global Illumination. 1

Scanline Optimization for Stereo On Graphics Hardware

by Christopher Zach, Mario Sormann, Konrad Karner
"... In this work we propose a scanline optimization procedure for computational stereo using a linear smoothness cost model performed by programmable graphics hardware. The main idea for an efficient implementation of this dynamic programming approach is a recursive scheme to calculate the min-convoluti ..."
Abstract - Cited by 5 (1 self) - Add to MetaCart
-convolution in a manner suitable for the parallel stream computation model of graphics processing units. Since many image similarity functions can be efficiently calculated by modern graphics hardware, it is reasonable to address the final disparity extraction by graphics processors as well. Our timing results

Interactive Volume Rendering on Standard PC Graphics Hardware Using Multi-Textures and Multi-Stage Rasterization

by C. Rezk-salama, K. Engel, M. Bauer, G. Greiner, T. Ertl , 2000
"... Interactive direct volume rendering has yet been restricted to high-end graphics workstations and special-purpose hardware, due to the large amount of trilinear interpolations, that are necessary to obtain high image quality. Implementations that use the 2D-texture capabilities of standard PC hardwa ..."
Abstract - Cited by 155 (24 self) - Add to MetaCart
and image quality of the 2D-texture based approach. We will show how multi-texturing capabilities of modern consumer PC graphics boards are exploited to enable interactive high quality volume visualization on low-cost hardware. Furthermore we demonstrate how multi-stage rasterization hardware can be used
Results 1 - 10 of 2,052