high performance computing on graphics processing units: hgpu.org

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GPU Octrees and Optimized Search

Daniel Madeira, Anselmo Montenegro, Esteban Clua, Thomas Lewiner

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 9600 M GT, Search

March 12, 2011 by hgpu

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Naoyuki Ichimura

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 4600

March 12, 2011 by hgpu

GEMM on a GPU

Jonathan Monette

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 5800, Poster

March 12, 2011 by hgpu

To GPU Synchronize or Not GPU Synchronize?

Wu-Chun Feng, Shucai Xiao

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques, Synchronization

March 12, 2011 by hgpu

Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU

Gallagher Pryor, Tauseef U. Rehman, Shawn Lankton, Patricio A. Vela, Allen Tannenbaum

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, Optical flow, Video tracking

March 12, 2011 by hgpu

Stereo depth with a Unified Architecture GPU

Joel Gibson, Oge Marques

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 11, 2011 by hgpu

GPU-Accelerated Text Mining

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Text mining

March 11, 2011 by hgpu

The GPU as a high performance computational resource

Tor Dokken, Trond R Hagen, Jon M Hjelmervik

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Tags: Computer science, Linear Algebra, Mathematical Software, Partial differential equations, PDEs, Review

March 11, 2011 by hgpu

Interactive SPH Simulation and Rendering on the GPU

Prashant Goswami, Philipp Schlegel, Barbara Solenthaler, Renato Pajarola

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Rendering

March 11, 2011 by hgpu

Using GPU shaders for visualization

Mike Bailey

Tags: Computer science, GLSL, OpenGL, Shaders, Visualization

March 11, 2011 by hgpu

Anisotropic Kuwahara Filtering on the GPU

Jan Eric Kyprianidis, Henry Kang, Jurgen Dollner

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

March 11, 2011 by hgpu

Realtime Loop Subdivision on the GPU

Minho Kim, Jorg Peters

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700 Pro, ATI Radeon X800, Computer science, nVidia, nVidia GeForce 6200, nVidia GeForce 6800 GT, Poster

March 11, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Octrees and Optimized Search

GPU Computing with Orientation Maps for Extracting Local Invariant Features

GEMM on a GPU

To GPU Synchronize or Not GPU Synchronize?

Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU

Stereo depth with a Unified Architecture GPU

GPU-Accelerated Text Mining

The GPU as a high performance computational resource

Interactive SPH Simulation and Rendering on the GPU

Using GPU shaders for visualization

Anisotropic Kuwahara Filtering on the GPU

Realtime Loop Subdivision on the GPU

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

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