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Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Kazuya Tani, Daisuke Takafuji, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Programming techniques

May 31, 2014 by hgpu

Unified Particle Physics for Real-Time Applications

Miles Macklin, Matthias Muller, Nuttapong Chentanez, Tae-Yong Kim

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce GTX 680

May 30, 2014 by hgpu

3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels

Luis A. Alexandre

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Tags: CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 680

May 21, 2014 by hgpu

Hierarchical Transparent Programming for Heterogeneous Computing

Yuri Torres de la Sierra

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Thesis

May 17, 2014 by hgpu

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 680

May 14, 2014 by hgpu

Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Ragnar Langseth

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

May 12, 2014 by hgpu

Non-separable 2D, 3D and 4D filtering with CUDA

Anders Eklund, Paul Dufort

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Tags: CUDA, FFT, Filtering, Image processing, nVidia, nVidia GeForce GTX 680, Package, Signal denoising

May 5, 2014 by hgpu

Piko: A Design Framework for Programmable Graphics Pipelines

Anjul Patney, Stanley Tzeng, Kerry A. Seitz Jr., John D. Owens

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Tags: 3D Graphics and Realism, Code generation, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, PTX, Rasterization, Raytracing, Rendering

April 29, 2014 by hgpu

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Franz G. Fuchs, Jon M. Hjelmervik, Erik C. Dyken, Erik W. Bjonnes

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Tags: Algorithms, Computer science, Differential equations, nVidia, nVidia GeForce GTX 680, ODEs, OpenGL, Ordinary differential equations, Rendering, Visualization

April 22, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

Eric Papenhausen, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 680

April 21, 2014 by hgpu

Importance Sampling of Realistic Light Sources

Heqi Lu

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Tags: 3D Graphics and Realism, Computer science, CUDA, DirectX, nVidia, nVidia GeForce GTX 680, Rendering, Thesis

April 17, 2014 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Unified Particle Physics for Real-Time Applications

3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels

Hierarchical Transparent Programming for Heterogeneous Computing

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Non-separable 2D, 3D and 4D filtering with CUDA

Piko: A Design Framework for Programmable Graphics Pipelines

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Sparser, Better, Faster GPU Parsing

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

Importance Sampling of Realistic Light Sources

Recent source codes

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

ROCm's implementation of Gromacs

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

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