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

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR