high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Fat vs. Thin Threading Approach on GPUs: Application to Stochastic Simulation of Chemical Reactions

Guido Klingbeil, Radek Erban, Mike Giles, Philip K. Maini

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Tags: Chemistry, CUDA, nVidia, nVidia GeForce GTX 260, Programming techniques, Stochastic simulation

July 14, 2011 by hgpu

Design of a programmable micro-ultrasound research platform

Harry C. T. Chiu, Lequan Zhang, Dave K. H. Cheung, Changhong Hu, K. Kirk Shung, Alfred C. H. Yu

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 275, Ultrasound

July 14, 2011 by hgpu

Fast parallel algorithm for audio content retrieval on GPUs

Adriana Sanabria, Jaime Vitola Oyaga, Cesar Pedraza Bonilla

Tags: Algorithms, Information Retrieval, Signal processing

July 14, 2011 by hgpu

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Dimitris Bouris, Antonis Nikitakis, Ioannis Papaefstathiou

Tags: Computer vision, FPGA, Image processing

July 14, 2011 by hgpu

Computing spike-based convolutions on GPUs

Jayram Moorkanikara Nageswaran, Nikil Dutt, Yingxue Wang, Tobi Delbrueck

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, Sensing

July 14, 2011 by hgpu

A Sparse Matrix Personality for the Convey HC-1

Krishna K. Nagar, Jason D. Bakos

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Sparse matrix, Tesla S1070

July 14, 2011 by hgpu

Fast circuit simulation on graphics processing units

Kanupriya Gulati, John F. Croix, Sunil P. Khatri, Rahm Shastry

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Tags: Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce 8800 GTS

July 14, 2011 by hgpu

Efficient visual hull computation for real-time 3D reconstruction using CUDA

Alexander Ladikos, Selim Benhimane, Nassir Navab

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Tags: Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Performance, Real-time graphics

July 14, 2011 by hgpu

Option pricing with multi-dimensional quadrature architectures

Anson H.T. Tse, David B. Thomas, Wayne Luk

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Tags: Finance, FPGA, nVidia, nVidia GeForce 8600 GT, Performance, Tesla C1060

July 14, 2011 by hgpu

Video Coding on Multicore Graphics Processors

Ngai-Man Cheung, Xiaopeng Fan, Oscar C. Au, Man-Cheung Kung

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Tags: Computer science, CUDA, H.264/AVC, nVidia, nVidia GeForce 8800 GTS, Video decoding, Video encoding

July 14, 2011 by hgpu

Accelerating the Nonequispaced Fast Fourier Transform on Commodity Graphics Hardware

Thomas Sangild Sorensen, Tobias Schaeffter, Karsten Ostergaard Noe, Michael Schacht Hansen

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Tags: Algorithms, ATI, ATI FireStream, Computer science, DirectX, FFT, HLSL, MRI

July 14, 2011 by hgpu

Real-Time Depth-of-Field Rendering Using Anisotropically Filtered Mipmap Interpolation

Sungkil Lee, G. Jounghyun Kim, Seungmoon Choi

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, GLSL, Image generation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

July 14, 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

Fat vs. Thin Threading Approach on GPUs: Application to Stochastic Simulation of Chemical Reactions

Design of a programmable micro-ultrasound research platform

Fast parallel algorithm for audio content retrieval on GPUs

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Computing spike-based convolutions on GPUs

A Sparse Matrix Personality for the Convey HC-1

Fast circuit simulation on graphics processing units

Efficient visual hull computation for real-time 3D reconstruction using CUDA

Option pricing with multi-dimensional quadrature architectures

Video Coding on Multicore Graphics Processors

Accelerating the Nonequispaced Fast Fourier Transform on Commodity Graphics Hardware

Real-Time Depth-of-Field Rendering Using Anisotropically Filtered Mipmap Interpolation

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)