high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 285

A 3D radiative transfer framework. VIII. OpenCL implementation

P. H. Hauschildt, E. Baron

View

Tags: Astrophysics, ATI, ATI Radeon HD 4870, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GT, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia Quadro FX 4800, OpenCL, Solar and Stellar Astrophysics, Tesla C2050

February 17, 2012 by hgpu

Fast GPU-based image warping and inpainting for frame interpolation

Jakub Rosner, Hannes Fassold, Peter Schallauer, Werner Bailer

View

Tags: Computer vision, CUDA, GPU, Image alignment, Image Inpainting, Image Warping, nVidia, nVidia GeForce GTX 285

February 17, 2012 by HannesF99

GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional classical spin systems

Yukihiro Komura, Yutaka Okabe

View

Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Physics, Spin Systems, Statistical Mechanics

February 6, 2012 by hgpu

Algorithmic Contributions to the Theory of Regular Chains

Wei Pan

View

Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Symbolic Computation, Tesla C2050, Thesis

January 30, 2012 by hgpu

Solving Bivariate Polynomial Systems on a GPU

Marc Moreno Maza, Wei Pan

View

Tags: Algorithms, CUDA, FFT, Mathematics, nVidia, nVidia GeForce GTX 285, Optimization, Probability, Tesla C2050

January 25, 2012 by hgpu

A GPU-based implementation for Range Queries on Spaghettis Data Structure

Roberto Uribe-Paredes, Pedro Valero-Lara, Enrique Arias, Jose L. Sanchez, Diego Cazorla

View

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 285

January 23, 2012 by hgpu

Stochastic Progressive Photon Mapping for Dynamic Scenes

Maayan Weiss, Thorsten Grosch

View

Tags: 3D Graphics and Realism, Algorithms, Image processing, nVidia, nVidia GeForce GTX 285

January 20, 2012 by hgpu

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

View

Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Optimization, Ultrasound

January 18, 2012 by hgpu

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

Byunghyun Jang

View

Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

January 18, 2012 by hgpu

RNS-Based Elliptic Curve Point Multiplication for Massive Parallel Architectures

Samuel Antao, Jean-Claude Bajard, Leonel Sousa

View

Tags: Algorithms, Computer science, Elliptic curves, nVidia, nVidia GeForce GTX 285, OpenCL, Security

January 18, 2012 by hgpu

Theano: Deep Learning on GPUs with Python

James Bergstra, Frederic Bastien, Olivier Breuleux, Pascal Lamblin, Razvan Pascanu, Olivier Delalleau, Guillaume Desjardins, David Warde-Farley, Ian Goodfellow, Arnaud Bergeron, Yoshua Bengio

View

Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package, Python

January 16, 2012 by hgpu

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

Sylvain Huet, Vincent Boulos, Vincent Fristot, Luc Salvo

View

Tags: Algorithms, CUDA, DSP, GPU cluster, nVidia, nVidia GeForce GTX 285, Signal processing

January 13, 2012 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 plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: