high performance computing on graphics processing units: hgpu.org

Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb

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Tags: Computed tomography, CT, CUDA, Image processing, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280, Rendering

November 23, 2010 by hgpu

hiCUDA: a high-level directive-based language for GPU programming

Tianyi D. Han, Tarek S. Abdelrahman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

November 23, 2010 by hgpu

Acceleration of a QM/MM-QMC simulation using GPU

Tomoharu Terashima, Ryo Maezono

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 275, Physics, QMC

November 23, 2010 by hgpu

GPU-based cone beam computed tomography

Peter B. Noel, Alan M. Walczak, Jinhui Xu, Jason J. Corso, Kenneth R. Hoffmann, Sebastian Schafer

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Comparing GPU-based multi-volume ray casting techniques

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Many-core algorithms for statistical phylogenetics

Synergistic execution of stream programs on multicores with accelerators

Graphical Asian Options

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Efficient Probabilistic Model Checking on General Purpose Graphics Processors

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

hiCUDA: a high-level directive-based language for GPU programming

Acceleration of a QM/MM-QMC simulation using GPU

GPU-based cone beam computed tomography

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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