high performance computing on graphics processing units: hgpu.org

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Optimising Hydrodynamics applications for the Cray XC30 with the application tool suite

W. P. Gaudin, A. C. Mallinson, O. Perks, J. A. Herdman, D. A. Beckingsale, J. M. Levesque, M. Boulton, S. McIntosh-Smith, S. A. Jarvis

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Tags: CUDA, Fluid dynamics, MPI, nVidia, OpenACC, OpenCL, Package, Tesla K20

December 18, 2014 by hgpu

GPU-Powered Coherent Beamforming

Alessio Magro, Kristian Zarb Adami, Jack Hickish

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

December 18, 2014 by hgpu

Bamboo: Automatic Translation of MPI Source into a Latency-Tolerant Form

Nhat Tan Nguyen Thanh

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Tags: Computer science, CUDA, Linear Algebra, MPI, nVidia, Package, Tesla K20, Thesis

December 15, 2014 by hgpu

Heuristics for Conversion Process of GPU’s Kernels for Multiples Kernels with Concurrent Optimization Divergence

Jose Ritomar Carneiro Torquato, Esteban Walter Gonzalez Clua

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance, Tesla K10, Tesla K20

December 14, 2014 by hgpu

Real-Time Grasp Detection Using Convolutional Neural Networks

Joseph Redmon, Anelia Angelova

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Tags: CNN, Computer science, CUDA, Machine learning, Neural networks, nVidia, Tesla K20

December 12, 2014 by hgpu

cuLGT: Lattice Gauge Fixing on GPUs

Hannes Vogt, Mario Schrock

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Physics, Tesla K20

December 12, 2014 by hgpu

Compiler-Level Explicit Cache for a GPGPU Programming Framework

Tomoharu Kamiya, Takanori Maruyama, Kazuhiko Ohno, Masaki Matsumoto

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Tesla C2050, Tesla K20

December 12, 2014 by hgpu

Strong scaling of general-purpose molecular dynamics simulations on GPUs

Jens Glaser, Trung Dac Nguyen, Joshua A. Anderson, Pak Lui, Filippo Spiga, Jaime A. Millan, David C. Morse, Sharon C. Glotzer

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Tags: Computational Physics, CUDA, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

December 12, 2014 by hgpu

Massively Parallel A* Search on a GPU

Yichao Zhou, Jianyang Zeng

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, Tesla K20

December 7, 2014 by hgpu

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Programming Languages, Tesla K20

December 5, 2014 by hgpu

Numerical cosmology on the GPU with Enzo and Ramses

Claudio Gheller, Peng Wang, Franco Vazza, Romain Teyssier

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Tags: Astrophysics, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, nVidia, OpenACC, Tesla K20

December 3, 2014 by hgpu

24.77 Pflops on a Gravitational Tree-Code to Simulate the Milky Way Galaxy with 18600 GPUs

Jeroen Bedorf, Evghenii Gaburov, Michiko S. Fujii, Keigo Nitadori, Tomoaki Ishiyama, Simon Portegies Zwart

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Tags: Algorithms, Astrophysics, CUDA, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

December 3, 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

Optimising Hydrodynamics applications for the Cray XC30 with the application tool suite

GPU-Powered Coherent Beamforming

Bamboo: Automatic Translation of MPI Source into a Latency-Tolerant Form

Heuristics for Conversion Process of GPU’s Kernels for Multiples Kernels with Concurrent Optimization Divergence

Real-Time Grasp Detection Using Convolutional Neural Networks

cuLGT: Lattice Gauge Fixing on GPUs

Compiler-Level Explicit Cache for a GPGPU Programming Framework

Strong scaling of general-purpose molecular dynamics simulations on GPUs

Massively Parallel A* Search on a GPU

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Numerical cosmology on the GPU with Enzo and Ramses

24.77 Pflops on a Gravitational Tree-Code to Simulate the Milky Way Galaxy with 18600 GPUs

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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