high performance computing on graphics processing units: hgpu.org

Heiko Burau, Renee Widera, Wolfgang Honig, Guido Juckeland, Ale Debus, Thomas Kluge, Ulrich Schramm, Tomas E. Cowan, Roland Sauerbrey, Michael Bussmann

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Tags: CUDA, GPU cluster, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla S1070

November 7, 2010 by hgpu

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

G. Stantchev, W. Dorland, N. Gumerov

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Tags: Computer science, CUDA, Numerical simulation, nVidia, Particle-in-cell methods, Plasma physics

November 1, 2010 by hgpu

Performance enhancement of MAGIC FDTD-PIC plasma-wave simulations using GPU processing

Andrew J. Woods, Lars D. Ludeking

Tags: Physics, Plasma physics

October 30, 2010 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

Fine-sorting One-dimensional Particle-In-Cell Algorithm with Monte-Carlo Collisions on a Graphics Processing Unit

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

Gyrokinetic Particle-in-Cell Optimization on Emerging Multi- and Manycore Platforms

A Generic Approach for Developing Highly Scalable Particle-Mesh Codes for GPUs

Efficient spectral and pseudospectral algorithms for 3D simulations of whistler-mode waves in a plasma

Particle-in-cell Simulations with Charge-Conserving Current Deposition on Graphic Processing Units

Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence

PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

Performance enhancement of MAGIC FDTD-PIC plasma-wave simulations using GPU processing

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