high performance computing on graphics processing units: hgpu.org

Applications

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Parallel calculation of the median and order statistics on GPUs with application to robust regression

Gleb Beliakov

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Numerical Analysis, nVidia, Package, Tesla C2050

April 19, 2011 by hgpu

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Bernd Bruegmann

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Tags: Computational Physics, CUBLAS, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla M2070

April 19, 2011 by hgpu

Building a Personal High Performance Computer with Heterogeneous Processors

Qiang Li, Zhigang Huo, Ninghui Sun

Tags: Computer science, Heterogeneous systems, Performance

April 18, 2011 by hgpu

Practical Pre-stack Kirchhoff Time Migration of Seismic Processing on General Purpose GPU

Xiaohua Shi, Xu Wang, Changhai Zhao, Haiyan Yang

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce 8800 GT, Seismology

April 18, 2011 by hgpu

Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method

Dagang Wu, Ji Chen

Tags: Computational Engineering, CUDA, Finite difference, nVidia, nVidia GeForce 9800 GT, Physics

April 18, 2011 by hgpu

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

Zvika Guz, Evgeny Bolotin, Idit Keidar, Avinoam Kolodny, Avi Mendelson, Uri C. Weiser

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Tags: ATI, Computer science, Intel, Larrabee, nVidia, Performance

April 18, 2011 by hgpu

Linear optimization on modern GPUs

Daniele G. Spampinato, Anne C. Elster

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Tags: CUDA, Finance, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Optimization

April 18, 2011 by hgpu

Real-time 3D reconstruction and pose estimation for human motion analysis

Holger Graf, Sang Min Yoon, Cornelius Malerczyk

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Tags: Computer vision, CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8200

April 18, 2011 by hgpu

TransCAIP: A Live 3D TV System Using a Camera Array and an Integral Photography Display with Interactive Control of Viewing Parameters

Yuichi Taguchi, Takafumi Koike, Keita Takahashi, Takeshi Naemura

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Rendering, Virtual reality

April 18, 2011 by hgpu

Accelerated multi-view stereo using parallel processing capababilities of the GPUS

O. Moslah, A. Valles-Such, V. Guitteny, S. Couvet, S. Philipp-Foliguet

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Tags: 3D Graphics and Realism, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL

April 18, 2011 by hgpu

CUDA-BLASTP: Accelerating BLASTP on CUDA-Enabled Graphics Hardware

Weiguo Liu, Bertil Schmidt, Wolfgang Muller-Wittig

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, nVidia GeForce GTX 295, Package, Sequence alignment

April 18, 2011 by hgpu

Fast Dynamic Voronoi Treemaps

Avneesh Sud, Danyel Fisher, Huai-Ping Lee

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Tags: Computer science, DirectX, nVidia, nVidia GeForce GTX 260, Voronoi diagram

April 17, 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

Parallel calculation of the median and order statistics on GPUs with application to robust regression

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Building a Personal High Performance Computer with Heterogeneous Processors

Practical Pre-stack Kirchhoff Time Migration of Seismic Processing on General Purpose GPU

Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

Linear optimization on modern GPUs

Real-time 3D reconstruction and pose estimation for human motion analysis

TransCAIP: A Live 3D TV System Using a Camera Array and an Integral Photography Display with Interactive Control of Viewing Parameters

Accelerated multi-view stereo using parallel processing capababilities of the GPUS

CUDA-BLASTP: Accelerating BLASTP on CUDA-Enabled Graphics Hardware

Fast Dynamic Voronoi Treemaps

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

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