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

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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

The Heisenberg spin glass model on GPU: myths and actual facts

M. Bernaschi, G. Parisi, L. Parisi

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Source codes

Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

October 28, 2010 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Quantum Monte Carlo on graphical processing units

Real-time optical manipulation of micron sized structures using GPU generated holograms

Multilevel summation of electrostatic potentials using graphics processing units

General purpose molecular dynamics simulations fully implemented on graphics processing units

Thread-Scalable Evaluation of Multi-Jet Observables

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

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

SIMD-Based Large-Scale Transient Stability Simulation on the Graphics Processing Unit

Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

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

The Heisenberg spin glass model on GPU: myths and actual facts

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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