high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GT 130

Performance Analysis of Sobel Edge Detection Filter on GPU using CUDA & OpenGL

Khyati Shah

View

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 130, OpenGL, Performance

November 10, 2013 by hgpu

Tuning Manifold Harmonics Filters

Thomas Lewiner, Thales Vieira, Alex Bordignon, Allyson Cabral, Clarissa Marques, Joao Paixao, Lis Custodio, Marcos Lage, Maria Andrade, Renata Nascimento, Scarlett de Botton, Sinesio Pesco, Helio Lopes, Vinicius Mello, Adelailson Peixoto, Dimas Martinez

View

Tags: Computer science, GLSL, Image generation, nVidia, nVidia GeForce GT 130, OpenGL, Real-time graphics, Rendering, Signal processing, Visualization

June 7, 2011 by hgpu

schnaps: a finite element solver

Optimization of a discontinuous finite element solver with OpenCL and StarPU

GPU-benchmarks

Mix-and-Match: A Model-driven Runtime Optimisation Strategy for BFS on GPUs

Truchas: 3D Multiphysics Simulation of Metal Casting and Processing

Performance Portability Challenges for Fortran Applications

CLort: High Throughput and Low Energy Network Intrusion Detection on IoT Devices with Embedded GPUs

CLort: High Throughput and Low Energy Network Intrusion Detection on IoT Devices with Embedded GPUs

SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks

SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks

SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences

SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences

Spatter: Benchmark for measuring the performance of sparse and irregular memory access

Spatter: A Benchmark Suite for Evaluating Sparse Access Patterns

StePS: Stereographically Projected Cosmological Simulations

StePS: A Multi-GPU Cosmological N-body Code for Compactified Simulations

AMGCL:C++ library for solving large sparse linear systems with algebraic multigrid method

AMGCL: an Efficient, Flexible, and Extensible Algebraic Multigrid Implementation

PAstudy

Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?

See all packages

* * *

* * *

2019

May

14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019

2019

September

16-17

Miami, Florida, USA

3rd World Conference on Clinical Research and Biomarkers, 2019

2019

August

26-28

Vancouver, Canada

3rd International Conference on Vision, Image and Signal Processing (ICVISP), 2019

+

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: