high performance computing on graphics processing units: hgpu.org

Kenji Ogawa, Tatsumi Aoyama, Hiroaki Ikeda, Etsuko Itou, Masafumi Kurachi, C.-J. David Lin, Hideo Matsufuru, Hiroshi Ohki, Tetsuya Onogi, Eigo Shintani, Takeshi Yamazaki

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla C1060

November 8, 2011 by hgpu

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

G. Debreczeni, B. Somhegyi

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Source codes

Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5970, Filtering, Gravitation, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Tesla C2050

November 7, 2011 by hgpu

Computer Simulation of Dark Matter Effects on Galaxy Rotation

Cole Kendrick

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Tags: Astrophysics, ATI, ATI Radeon HD 4870, Gravitation, N-body simulation, Nearest neighbour, nVidia, nVidia GeForce GT 210 M, OpenCL, Python

November 7, 2011 by hgpu

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

E.A. Malkov, M.S. Ivanov

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Tags: Algorithms, Boltzmann equation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Physics

November 6, 2011 by hgpu

Advanced MRI reconstruction toolbox with accelerating on GPU

Xiao-Long Wu, Yue Zhuo, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-Mei Hwu, Zhi-Pei Liang, Bradley P. Sutton, Jiading Gai

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Tags: Algorithms, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GTX 280, Optimization, Physics

November 6, 2011 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Optimizing the multipole-to-local operator in the fast multipole method for graphical processing units

Design of MILC Lattice QCD Application for GPU Clusters

Large Scale Plane Wave Pseudopotential Density Functional Theory Calculations on GPU Clusters

Pseudoscalar Meson in Two Flavors QCD with the Optimal Domain-Wall Fermion

B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics

Efficient GPU Implementation for Particle in Cell Algorithm

High performance massively parallel direct N-body simulations on large GPU clusters

The Infrared behavior of SU(3) Nf=12 gauge theory -about the existence of conformal fixed point-

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

Computer Simulation of Dark Matter Effects on Galaxy Rotation

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

Advanced MRI reconstruction toolbox with accelerating on GPU

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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