high performance computing on graphics processing units: hgpu.org

hgpu.org » Filtering

An innovative compilation tool-chain for embedded multi-core architectures

M. Torquati, M. Vanneschi, M. Amini, S. Guelton, R. Keryell, V. Lanore, F.-X. Pasquier, M. Barreteau, R. Barrere, T. Petrisor, E. Lenormand, C. Cantini, F. De Stefani

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050

April 10, 2012 by hgpu

Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering

Asmaa Hosni, Christoph Rhemann, Michael Bleyer, Margrit Gelautz

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, Optical flow

April 3, 2012 by hgpu

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

James Bergstra, Nicolas Pinto, David Cox

View

Download (PDF)

Tags: Computer science, CUDA, Filtering, Machine learning, Matrix multiplication, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Optimization, Tesla C1060, Tesla C2070

March 29, 2012 by hgpu

Bilateral Filtering with CUDA

Lasse Klojgaard Staal

View

Download (PDF)

Source codes

Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 460, Package

January 27, 2012 by hgpu

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt, Carsten Stoll, Neil A. Dodgson, Hans-Peter Seidel, Christian Theobalt

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Image processing, Rendering

January 20, 2012 by hgpu

A visibility-based approach for occupancy grid computation in disparity space

Mathias Perrollaz, John-David Yoder, Amaury Negre, Anne Spalanzani, Christian Laugier

View

Download (PDF)

Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, Stereo vision

January 15, 2012 by hgpu

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Reza Farivar, Shivaram Venkataraman, Yanen Li, Ellick Chan, Abhishek Verma, Roy H. Campbell

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, Filtering, GPU cluster, nVidia, Sequence alignment, Tesla S1070

December 26, 2011 by hgpu

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Jorge Lorente, Gema Pinero, Antonio M. Vidal, Jose Antonio Belloch, Alberto Gonzalez

View

Download (PDF)

Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

December 13, 2011 by hgpu

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

Sylvain Paris, Samuel W. Hasinoff, Jan Kautz

View

Download (PDF)

Source codes

Tags: Algorithms, Filtering, Image processing, Optimization, Package, Wavelet

December 10, 2011 by hgpu

Fast and Robust Pyramid-based Image Processing

Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, Mathieu Aubry, Fredo Durand

View

Download (PDF)

Tags: Algorithms, Filtering, Image processing, nVidia, nVidia GeForce GTX 480

December 10, 2011 by hgpu

Efficient Shallow Water Simulations on GPUs

Nicholas Moore, Miriam Leeser, Laurie Smith King

View

Download (PDF)

Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480

November 22, 2011 by hgpu

Efficient GPGPU-based parallel packet classification

Che-Lun Hung, Yaw-Ling Lin, Kuan-Ching Li, Hsiao-Hsi Wang, Shih-Wei Guo

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Filtering, Network communications, nVidia, nVidia GeForce GTS 450, Security

November 21, 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

An innovative compilation tool-chain for embedded multi-core architectures

Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

Bilateral Filtering with CUDA

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

A visibility-based approach for occupancy grid computation in disparity space

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

Fast and Robust Pyramid-based Image Processing

Efficient Shallow Water Simulations on GPUs

Efficient GPGPU-based parallel packet classification

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)