high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

High-Performance Reverse Time Migration on GPU

Javier Cabezas, Mauricio Araya-Polo, Isaac Gelado, Nacho Navarro, Enric Morancho, Jose M. Cela

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Tags: CUDA, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

July 22, 2011 by hgpu

Living Flows: Enhanced Exploration of Edge-Bundled Graphs Based on GPU-Intensive Edge Rendering

Antoine Lambert, David Auber, Guy Melancon

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Tags: Clustering, Computer science, GLSL, nVidia, nVidia Quadro FX 1700 M, OpenGL, Rendering, Visualization

July 22, 2011 by hgpu

A novel parallel Tier-1 coder for JPEG2000 using GPUs

Roto Le, Iris R. Bahar, Joseph L. Mundy

Tags: Compression, Computer science, Image processing, JPEG2000, nVidia GeForce GTX 480, Wavelet

July 22, 2011 by hgpu

Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition

Li-Wen Chang, Men-Tzung Lo, Nasser Anssari, Ke-Hsin Hsu, Norden E. Huang, Wen-mei W. Hwu

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Tags: CUDA, nVidia, Signal processing, Tesla C2050

July 22, 2011 by hgpu

GPGPU-Accelerated Parallel and Fast Simulation of Thousand-Core Platforms

Christian Pinto, Shivani Raghav, Andrea Marongiu, Martino Ruggiero, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Shuai Che, Jeremy W. Sheaffer, Michael Boyer, Lukasz G. Szafaryn, Liang Wang, Kevin Skadron

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Tags: Benchmarking, CMP, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

Real time image reconstruction using GPUs for a surgical PET imaging probe system

S.S. Huh, Li Han, W.L. Rogers, N.H. Clinthorne

Tags: CUDA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GTX, PET, Tomography

July 22, 2011 by hgpu

Vendors Draw up a New Graphics-Hardware Approach

S.J. Vaughn-Nichols

Tags: Computer science, Hardware Architecture, Review

July 22, 2011 by hgpu

Real-time 3D video synthesis from binocular capture system based on commodity graphic hardware

Zhihong Liao, Xudong Xie, Qionghai Dai

Tags: Algorithms, Image processing, nVidia, Real-time graphics

July 22, 2011 by hgpu

AES Encryption Implementation on CUDA GPU and Its Analysis

Keisuke Iwai, Takakazu Kurokawa, Naoki Nisikawa

Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

July 22, 2011 by hgpu

Large Scale Simulations of the Euler Equations on GPU Clusters

Manfred Liebmann, Craig C. Douglas, Gundolf Haase, Zoltan Horvath

Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295

July 22, 2011 by hgpu

Mapping the Arnold web with a GPU-supercomputer

A. Seibert, S. Denisov, Alexey V. Ponomarev, P. Hanggi

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Tags: Chaotic Dynamics, Computational Physics, CUDA, Nonlinear Sciences, nVidia, Physics, Tesla M2050

July 22, 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

High-Performance Reverse Time Migration on GPU

Living Flows: Enhanced Exploration of Edge-Bundled Graphs Based on GPU-Intensive Edge Rendering

A novel parallel Tier-1 coder for JPEG2000 using GPUs

Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition

GPGPU-Accelerated Parallel and Fast Simulation of Thousand-Core Platforms

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Real time image reconstruction using GPUs for a surgical PET imaging probe system

Vendors Draw up a New Graphics-Hardware Approach

Real-time 3D video synthesis from binocular capture system based on commodity graphic hardware

AES Encryption Implementation on CUDA GPU and Its Analysis

Large Scale Simulations of the Euler Equations on GPU Clusters

Mapping the Arnold web with a GPU-supercomputer

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)