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Overlap fermions on GPUs

Nigel Cundy, Weonjong Lee

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX Titan, Physics

October 27, 2015 by hgpu

Modern Gyrokinetic Particle-In-Cell Simulation of Fusion Plasmas on Top Supercomputers

Bei Wang, Stephane Ethier, William Tang, Khaled Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker

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Tags: CUDA, Heterogeneous systems, Intel Xeon Phi, Laplace and Poisson equation, nVidia, Particle-in-cell methods, Physics, Plasma physics, Poisson equation, Tesla K20

October 25, 2015 by hgpu

The Dynamical Kernel Scheduler – Part 1

Andreas Adelmann, Uldis Locans, Andreas Suter

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Tags: Algorithms, Computational Physics, CUDA, FFT, Intel Xeon Phi, Monte Carlo simulation, nVidia, OpenCL, OpenMP, Physics

September 29, 2015 by hgpu

Scalable Metropolis Monte Carlo for simulation of hard shapes

Joshua A. Anderson, M. Eric Irrgang, Sharon C. Glotzer

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Tags: Benchmarking, Chemistry, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Soft Condensed Matter, Tesla K20

September 17, 2015 by hgpu

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

Avtech Scientific

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Tags: DSP, FPGA, OpenCL, Package, Physics, Presentation

September 3, 2015 by hgpu

Fast GPU-based calculations in few-body quantum scattering

V.N. Pomerantsev, V.I. Kukulin, O.A. Rubtsova, S.K. Sakhiev

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Tags: Computational Physics, CUDA, Integral equations, nVidia, nVidia GeForce GTX 670, Physics

September 3, 2015 by hgpu

A parallel algorithm for implicit depletant simulations

Jens Glaser, Andrew S. Karas, Sharon C. Glotzer

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Tags: Condensed matter, CUDA, Molecular dynamics, nVidia, Package, Physics, Soft Condensed Matter, Tesla K20, Tesla K80

August 31, 2015 by hgpu

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

C. A. Navarro, Huang Wei, Youjin Deng

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Spin Systems, Tesla K40

August 27, 2015 by hgpu

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

Ursula Iturraran-Viveros, Miguel Molero-Armenta

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Tags: Condensed matter, Instrumentation and measurement, nVidia, OpenCL, Package, Physics, PyOpenCL, Python

August 21, 2015 by hgpu

Efficient Numerical Evaluation of Feynman Integral

Zhao Li, Jian Wang, Qi-Shu Yan, Xiaoran Zhao

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Tags: CUDA, High Energy Physics - Phenomenology, nVidia, Physics, QCD, Tesla K20

August 12, 2015 by hgpu

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

Xavier Saez, Alejandro Soba, Edilberto Sanchez, Mervi Mantsinen, Jose M. Cela

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Tags: Algorithms, ARM, Heterogeneous systems, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla M2090

July 29, 2015 by hgpu

GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

T. Takaki, R. Rojas, M Ohno, T. Shimokawabe, T. Aoki

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Tags: Alloys, Condensed matter, CUDA, Lattice Boltzmann model, Materials Science, nVidia, Physics, Tesla K20

July 3, 2015 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

Overlap fermions on GPUs

Modern Gyrokinetic Particle-In-Cell Simulation of Fusion Plasmas on Top Supercomputers

The Dynamical Kernel Scheduler – Part 1

Scalable Metropolis Monte Carlo for simulation of hard shapes

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

Fast GPU-based calculations in few-body quantum scattering

A parallel algorithm for implicit depletant simulations

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

Efficient Numerical Evaluation of Feynman Integral

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

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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