nVidia GeForce GTX 280 | Page 21

hgpu.org » nVidia GeForce GTX 280

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

Carlucio Santos Cordeiro, Luiz Chaimowicz

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Package, Real-time graphics, Rendering, Visualization

August 11, 2011 by hgpu

GPU acceleration of matrix-based methods in computational electromagnetics (thesis)

Evan Lezar

View

Download (PDF)

Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 465, Tesla M1060, Thesis

August 10, 2011 by hgpu

A view-dependent adaptivity metric for real time mesh tessellation

Tamy Boubekeur

View

Download (PDF)

Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Real-time graphics, Rendering, Tessellation

August 10, 2011 by hgpu

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Peter Kuchnio, David W. Capson

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

August 10, 2011 by hgpu

A convex formulation for color image segmentation in the context of passive emitter localization

Marek Schikora, Miriam Hage, Eicke Ruthotto, Klaus Wild

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

August 7, 2011 by hgpu

Accelerating wavelet-based video coding on graphics hardware using CUDA

Wladimir J. van der Laan, Jos B.T.M. Roerdink, Andrei C. Jalba

View

Download (PDF)

Source codes

Tags: Compression, CUDA, Discrete Wavelet Transform, Motion compensation, nVidia, nVidia GeForce GTX 280, Package, Signal processing

August 5, 2011 by hgpu

IRIS: Illustrative Rendering for Integral Surfaces

Mathias Hummel, Christoph Garth, Bernd Hamann, Hans Hagen, Kenneth I. Joy

View

Download (PDF)

Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

August 5, 2011 by hgpu

A lighting model for fast rendering of forest ecosystems

Robert Geist, Jay Steele

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Raytracing, Rendering

August 4, 2011 by hgpu

Real-time color holographic video display system

Fahri Yaras, Hoonjong Kang, Levent Onural

View

Download (PDF)

Tags: Algorithms, Computer holography, Computer science, nVidia, nVidia GeForce GTX 280, Real-time graphics

August 2, 2011 by hgpu

Power-efficient medical image processing using PUMA

Ganesh Dasika, Kevin Fan, Scott Mahlke

View

Download (PDF)

Tags: Algorithms, CUDA, Energy-efficient computing, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

July 31, 2011 by hgpu

A very fast census-based stereo matching implementation on a graphics processing unit

M. Weber, M. Humenberger, W. Kubinger

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 280, Stereo vision

July 27, 2011 by hgpu

On the Robust Mapping of Dynamic Programming onto a Graphics Processing Unit

Shucai Xiao, A.M. Aji, Wu-chun Feng

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Biology, Cell processor, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 280, Sequence alignment, Smith-Waterman algorithm

July 23, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

GPU acceleration of matrix-based methods in computational electromagnetics (thesis)

A view-dependent adaptivity metric for real time mesh tessellation

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

A convex formulation for color image segmentation in the context of passive emitter localization

Accelerating wavelet-based video coding on graphics hardware using CUDA

IRIS: Illustrative Rendering for Integral Surfaces

A lighting model for fast rendering of forest ecosystems

Real-time color holographic video display system

Power-efficient medical image processing using PUMA

A very fast census-based stereo matching implementation on a graphics processing unit

On the Robust Mapping of Dynamic Programming onto a Graphics Processing Unit

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)