high performance computing on graphics processing units: hgpu.org

Applications

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A parallel accelerator for semantic search

Abhinandan Majumdar, Srihari Cadambi, Srimat T. Chakradhar, Hans Peter Graf

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, FPGA, nVidia, Semantic indexing, Tesla C1060

July 30, 2011 by hgpu

Real-time voxelization for complex polygonal models

Zhao Dong, Wei Chen, Hujun Bao, Hongxin Zhang, Qunsheng Peng

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Tags: Algorithms, ATI, ATI Radeon 9800 Pro, Computer science, DirectX, Voxelization

July 30, 2011 by hgpu

A 3D radiative transfer framework: XIII. OpenCL implementation

Peter H. Hauschildt, E. Baron

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Tags: Astrophysics, ATI, ATI Radeon HD 4870, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GT, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia Quadro FX 4800, OpenCL, Solar and Stellar Astrophysics, Tesla C2050

July 29, 2011 by hgpu

Computational wave optics library for C++: CWO++ library

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 by hgpu

Tracking 3d Pose of Rigid Object by Sparse Template Matching

Yuki Oka, Toshiyuki Kuroda, Tsuyoshi Migita, Takeshi Shakunaga

Tags: Computer science, Computer vision, Particle filtering, Performance, Video tracking

July 29, 2011 by hgpu

High-Speed Stream-Centric Dense Stereo and View Synthesis on Graphics Hardware

Jiangbo Lu, S. Rogmans, G. Lafruit, F. Catthoor

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 7900, Rendering, Stereo vision

July 29, 2011 by hgpu

A reduced order explicit dynamic finite element algorithm for surgical simulation

Z. A. Taylor, S. Crozier, S. Ourselin

Tags: Algorithms, Finite element method, Medicine, Surgical simulation

July 29, 2011 by hgpu

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Neural networks, nVidia, nVidia GeForce GT 200, Performance

July 29, 2011 by hgpu

Projecting Tetrahedra with a Simplified Basis Graph

Dibin Zhou, Kangjian Wang, Lijun Xie, Yao Zheng

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

July 29, 2011 by hgpu

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

A.P.D. Binotto, E.P. Freitas, M. Gotz, C.E. Pereira, A. Stork, T. Larsson

Tags: Algorithms, Computer science, Heterogeneous systems, Image processing, Task scheduling

July 29, 2011 by hgpu

Toward real-time kernel density estimate display for instrumentation

Lee Barford, Ivan Gibbs, Richard Kelley

Tags: Computer science, Probability, Visualization

July 29, 2011 by hgpu

Multi scale block histogram of template feature for pedestrian detection

Shaopeng Tang, S. Goto

Tags: Computer science, Computer vision, Image recognition

July 29, 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

A parallel accelerator for semantic search

Real-time voxelization for complex polygonal models

A 3D radiative transfer framework: XIII. OpenCL implementation

Computational wave optics library for C++: CWO++ library

Tracking 3d Pose of Rigid Object by Sparse Template Matching

High-Speed Stream-Centric Dense Stereo and View Synthesis on Graphics Hardware

A reduced order explicit dynamic finite element algorithm for surgical simulation

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

Projecting Tetrahedra with a Simplified Basis Graph

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

Toward real-time kernel density estimate display for instrumentation

Multi scale block histogram of template feature for pedestrian detection

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)