high performance computing on graphics processing units: hgpu.org

Jairo Panetta, Thiago Teixeira, Paulo R. P. de Souza Filho, Carlos A. da Cunha Finho, David Sotelo, Fernando M. da Motta, Silvio S. Pinheiro, Ivan P. Junior, Andre L. Rosa, Luiz R. Monnerat, Leandro T. Carneiro, Carlos H. B. de Albrecht

View

Download (PDF)

Tags: CUDA, Geoscience, GPU cluster, nVidia, Physics, Tesla C1060

October 28, 2010 by hgpu

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

T. Balz, U. Stilla

Tags: Geoscience, Physics, Raytracing, Rendering, Signal processing

October 28, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit

Accelerating geoscience and engineering system simulations on graphics hardware

Computing Prestack Kirchhoff Time Migration on General Purpose GPU

Optimising GPR modelling: A practical, multi-threaded approach to 3D FDTD numerical modelling

Visualization of LIDAR datasets using point-based rendering technique

Simulation of one-layer shallow water systems on multicore and CUDA architectures

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Accelerating POCS interpolation of 3D irregular seismic data with Graphics Processing Units

Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA

High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second