high performance computing on graphics processing units: hgpu.org

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 by hgpu

Tracking 3d Pose of Rigid Object by Sparse Template Matching

Yuki Oka, Toshiyuki Kuroda, Tsuyoshi Migita, Takeshi Shakunaga

Tags: Computer science, Computer vision, Particle filtering, Performance, Video tracking

July 29, 2011 by hgpu

High-Speed Stream-Centric Dense Stereo and View Synthesis on Graphics Hardware

Jiangbo Lu, S. Rogmans, G. Lafruit, F. Catthoor

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 7900, Rendering, Stereo vision

July 29, 2011 by hgpu

A reduced order explicit dynamic finite element algorithm for surgical simulation

Z. A. Taylor, S. Crozier, S. Ourselin

Tags: Algorithms, Finite element method, Medicine, Surgical simulation

July 29, 2011 by hgpu

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Neural networks, nVidia, nVidia GeForce GT 200, Performance

July 29, 2011 by hgpu

Projecting Tetrahedra with a Simplified Basis Graph

Dibin Zhou, Kangjian Wang, Lijun Xie, Yao Zheng

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

July 29, 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

Applications

Interactive Collision Detection for Deformable Models Using Streaming AABBs

Articulated object tracking by rendering consistent appearance parts

Dense Photometric Stereo: A Markov Random Field Approach

A parallel accelerator for semantic search

Real-time voxelization for complex polygonal models

A 3D radiative transfer framework: XIII. OpenCL implementation

Computational wave optics library for C++: CWO++ library

Tracking 3d Pose of Rigid Object by Sparse Template Matching

High-Speed Stream-Centric Dense Stereo and View Synthesis on Graphics Hardware

A reduced order explicit dynamic finite element algorithm for surgical simulation

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

Projecting Tetrahedra with a Simplified Basis Graph

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

Most viewed papers (last 30 days)