high performance computing on graphics processing units: hgpu.org

Applications

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Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Performance, Physics, Tesla C2050

May 30, 2011 by hgpu

GPU-based parallel-beam and cone-beam forward- and backprojection using CUDA

Michael Knaup, Sven Steckmann, Marc Kachelriess

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, Tomography

May 29, 2011 by hgpu

Performance comparison of GPU and FPGA architectures for the SVM training problem

Markos Papadonikolakis, Christos-Savvas Bouganis, George Constantinides

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Tags: Computer science, CUDA, FPGA, Machine learning, nVidia, nVidia GeForce 8500 GT, Performance

May 29, 2011 by hgpu

Fast scale invariant textured synthesis with GPU acceleration

Claire Gallagher, Francis Kelly, Anil Kokaram

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Tags: Algorithms, Image generation, Image processing, nVidia, nVidia GeForce 6800 Ultra

May 29, 2011 by hgpu

GPU-Based Ray Tracing of Splats

Rhushabh Goradia, Sriram Kashyap, Parag Chaudhuri, Sharat Chandran

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Raytracing, Rendering

May 29, 2011 by hgpu

A Summary of Recent GPU Developments and Key Enabling Technologies for Digital Media Applications

I.M. Williams

Tags: Computer science, Performance, Review

May 29, 2011 by hgpu

Efficent multiple pass, multiple output algorithms on the GPU

Jay L. T. Cornwall

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Performance, Programming techniques

May 29, 2011 by hgpu

Reducing IO bandwidth for GPU based moment invariant classifier systems

C.H. Messom, A.L.C. Barczak

Tags: Computer science, Image processing, Performance

May 29, 2011 by hgpu

Acceleration of Time-Domain Finite Element Method (TD-FEM) Using Graphics Processor Units (GPU)

K. Liu, Xiao-bing Wang, Yang Zhang, Cheng Liao

Tags: Electrodynamics, Electromagnetics simulation, FEM, Finite element method, Microwave engineering, OpenGL

May 29, 2011 by hgpu

A GPU-based Algorithm for Estimating 3D Geometry and Motion in Near Real-time

Minglun Gong

Tags: Algorithms, Computer science, Computer vision, Real-time graphics, Rendering

May 29, 2011 by hgpu

GPU-based collision detection between deformable objects

Zhiyuan Zhang, Xueqing Li, Lei Wang, Peng Ma

Tags: Algorithms, Collision detection, Computer science, Real-time graphics, Rendering

May 29, 2011 by hgpu

GPU-accelerated hierarchical dense correspondence for real-time aerial video processing

Stephen Cluff, Bryan S. Morse, Mark Duchaineau, Jonathan D. Cohen

Tags: Algorithms, Image processing, Image registration

May 28, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

GPU-based parallel-beam and cone-beam forward- and backprojection using CUDA

Performance comparison of GPU and FPGA architectures for the SVM training problem

Fast scale invariant textured synthesis with GPU acceleration

GPU-Based Ray Tracing of Splats

A Summary of Recent GPU Developments and Key Enabling Technologies for Digital Media Applications

Efficent multiple pass, multiple output algorithms on the GPU

Reducing IO bandwidth for GPU based moment invariant classifier systems

Acceleration of Time-Domain Finite Element Method (TD-FEM) Using Graphics Processor Units (GPU)

A GPU-based Algorithm for Estimating 3D Geometry and Motion in Near Real-time

GPU-based collision detection between deformable objects

GPU-accelerated hierarchical dense correspondence for real-time aerial video processing

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)