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A Comparison of Two Methods for Geometric Milling Simulation Accelerated by GPU

Masatomo Inui, Nobuyuki Umezu, Yuuki Shinozuka

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering

October 29, 2013 by hgpu

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

Diego Rodriguez-Losada, Pablo San Segundo, Miguel Hernando, Paloma de la Puente, Alberto Valero

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce GTX 280

October 29, 2013 by hgpu

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

V. Halyo, P. LeGresley, P. Lujan, V. Karpusenko, A. Vladimirov

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, nVidia, Physics, Tesla K20

October 29, 2013 by hgpu

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Swadhin K. Mangaraj

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, OpenCL, Thesis

October 29, 2013 by hgpu

Molecular Simulations using CUDA

Gerhard Burger

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Tags: CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2075, Thesis

October 29, 2013 by hgpu

Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation

Ankit Srivastava

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, FDTD, Finite-difference time-domain, Materials Science, nVidia, nVidia Quadro K 2000

October 29, 2013 by hgpu

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

Alexander Moore

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Source codes

Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Package, Thesis

October 27, 2013 by hgpu

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

Xueming Peng, Yanping Wang, Wen Hong, Weixian Tan, Yirong Wu

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, Image reconstruction, nVidia, Sensing

October 27, 2013 by hgpu

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Zheng Tian, Cheng Xu, Xin Huang, Xiaodong Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTS 450, Real-time graphics, Stereo vision

October 27, 2013 by hgpu

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

M. de la Asuncion, J. M. Mantas, M. J. Castro, S. Ortega

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Tags: CUDA, Earth and Space Sciences, Fluid dynamics, GPU cluster, MPI, nVidia, Tesla M2090

October 26, 2013 by hgpu

A New Approach of Performance Analysis of Certain Graph Algorithms

M. F Mridha, Mohammad Manzurul Islam, Syed Mohammad Oliur Rahman

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Tags: Computer science, CUDA, Graph theory, nVidia, Tesla C2075

October 26, 2013 by hgpu

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

Zheng Tian, Cheng Xu, Xiaoyun Deng

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTS 450

October 26, 2013 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Programming

A Comparison of Two Methods for Geometric Milling Simulation Accelerated by GPU

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Molecular Simulations using CUDA

Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

A New Approach of Performance Analysis of Certain Graph Algorithms

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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