high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Scaling Hierarchical N-body Simulations on GPU Clusters

Pritish Jetley, Lukasz Wesolowski, Filippo Gioachin, Laxmikant V. Kale, Thomas R. Quinn

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Physics, Tesla S1070

April 7, 2011 by hgpu

Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs

Peng Di, Qing Wan, Xuemeng Zhang, Hui Wu, Jingling Xue

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Tags: Computer science, nVidia, Optimization, Tesla C1060

April 6, 2011 by hgpu

An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA

N. Ghaemian, M. Sharifi, B. Minaei,R. Orujov

Tags: Computer science, CUDA, Fortran, High-level Languages, nVidia

April 6, 2011 by hgpu

Heuristic Optimization Methods for Improving Performance of Recursive General Purpose Applications on GPUs

Shinichi Yamagiwa, Koichi Wada, Leonel Sousa

Tags: Computer science, Optimization, Performance

April 6, 2011 by hgpu

High Performance Hybrid Functional Petri Net Simulations of Biological Pathway Models on CUDA

Georgios Chalkidis, Masao Nagasaki, Satoru Miyano

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems

April 6, 2011 by hgpu

A Hybrid Computational Grid Architecture for Comparative Genomics

A. Singh, Chen Chen, Weiguo Liu, W. Mitchell, B. Schmidt

Tags: Bioinformatics, Biology, Genetics, Sequence alignment

April 6, 2011 by hgpu

Barnes-hut treecode on GPU

Hu Jiang, Qianni Deng

Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia

April 6, 2011 by hgpu

Parallel and distributed seismic wave field modeling with combined Linux clusters and graphics processing units

T. Danek

Tags: Earth and Space Sciences, Seismic modeling, Seismology

April 6, 2011 by hgpu

Implementation of Ant Colony Algorithm Based on GPU

Wang Jiening, Dong Jiankang, Zhang Chunfeng

Tags: Algorithms, Computer science, Path problems

April 6, 2011 by hgpu

High-speed electromagnetic field simulation by HIE-FDTD method with GPGPU

M. Unno, H. Asai

Tags: CUDA, Electrodynamics, Finite-difference time-domain, nVidia

April 6, 2011 by hgpu

FSimGP^2: An Efficient Fault Simulator with GPGPU

Min Li, M.S. Hsiao

Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia

April 6, 2011 by hgpu

An implementation and its evaluation of password cracking tool parallelized on GPGPU

T. Murakami, R. Kasahara, T. Saito

Tags: Computer science, CUDA, nVidia, Security

April 5, 2011 by hgpu

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

Scaling Hierarchical N-body Simulations on GPU Clusters

Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs

An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA

Heuristic Optimization Methods for Improving Performance of Recursive General Purpose Applications on GPUs

High Performance Hybrid Functional Petri Net Simulations of Biological Pathway Models on CUDA

A Hybrid Computational Grid Architecture for Comparative Genomics

Barnes-hut treecode on GPU

Parallel and distributed seismic wave field modeling with combined Linux clusters and graphics processing units

Implementation of Ant Colony Algorithm Based on GPU

High-speed electromagnetic field simulation by HIE-FDTD method with GPGPU

FSimGP^2: An Efficient Fault Simulator with GPGPU

An implementation and its evaluation of password cracking tool parallelized on GPGPU

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Most viewed papers (last 30 days)