high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, Package

June 9, 2011 by hgpu

Low-Frequency MLFMA on Graphics Processors

M. Cwikla, J. Aronsson, V. Okhmatovski

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Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, nVidia Quadro FX 5800

June 9, 2011 by hgpu

Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing

Canqun Yang, Feng Wang, Yunfei Du, Juan Chen, Jie Liu, Huizhan Yi, Kai Lu

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Tags: ATI, ATI Radeon HD 4870, ATI Stream, Computer science, Heterogeneous systems, Linear Algebra, Optimization, Presentation

June 9, 2011 by hgpu

SAR focusing of P-band ice sounding data using back-projection

Anders Kusk, Jorgen Dall

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 260

June 9, 2011 by hgpu

The Graphics Processor as a Mathematical Coprocessor in MATLAB

Andre Rigland Brodtkorb

Tags: Computer science, Linear Algebra, Matrix multiplication

June 9, 2011 by hgpu

Shader-based visual simulation of ocean wave

Jun Chen, Yuan Yuan, Jianwen Yang

Tags: 3D Graphics and Realism, Computer science, Rendering, Visualization

June 9, 2011 by hgpu

Parallelism of Clonal Selection for PSP on CUDA

Hongbing Zhu, Heng Xiao, JinGuang Gu

Tags: Biology, CUDA, Macromolecule, nVidia

June 9, 2011 by hgpu

Parallel multi-level analytical global placement on graphics processing units

Jason Cong, Yi Zou

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, Performance, Tesla C1060

June 9, 2011 by hgpu

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Lifan Xu, Michela Taufer, Stuart Collins, Dionisios G. Vlachos

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Tags: Chemistry, CUDA, Data parallelism, GPU cluster, Monte Carlo simulation, nVidia, Physics, Tesla S1070

June 9, 2011 by hgpu

Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays

Oliver Bimber, Anselm Grundhofer, Thomas Zeidler, Daniel Danch, Pedro Kapakos

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Tags: Algorithms, Computer science, Presentation, Rendering, Sparse matrix, Virtual reality

June 8, 2011 by hgpu

Perception-aware Depth Cueing for Illustrative Vascular Visualization

Alan Chu, Wing-Yin Chan, Jixiang Guo, Wai-Man Pang, Pheng-Ann Heng

Tags: 3D Graphics and Realism, Medicine, Rendering, Visualization

June 8, 2011 by hgpu

Visual Simulation of Heat Shimmering and Mirage

Ye Zhao, Yiping Han, Zhe Fan, Feng Qiu, Yu-Chuan Kuo, Arie E. Kaufman, Klaus Mueller

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Tags: Computer science, Finite difference, Lattice Boltzmann model, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Raytracing, Rendering

June 8, 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

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Low-Frequency MLFMA on Graphics Processors

Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing

SAR focusing of P-band ice sounding data using back-projection

The Graphics Processor as a Mathematical Coprocessor in MATLAB

Shader-based visual simulation of ocean wave

Parallelism of Clonal Selection for PSP on CUDA

Parallel multi-level analytical global placement on graphics processing units

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays

Perception-aware Depth Cueing for Illustrative Vascular Visualization

Visual Simulation of Heat Shimmering and Mirage

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)