high performance computing on graphics processing units: hgpu.org

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BVH for efficient raytracing of dynamic metaballs on GPU

Olivier Gourmel, Anthony Pajot, Loic Barthe, Mathias Paulin, Pierre Poulin

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Raytracing

December 27, 2010 by hgpu

GPU Supported Patch-Based Tessellation for Dual Subdivision

Fengtao Fan, Fuhua (Frank) Cheng

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Rendering

December 27, 2010 by hgpu

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Veerendra Allada, Troy Benjegerdes, Brett Bode

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Tags: Computer science, CUDA, GPU cluster, nVidia, Performance, Presentation, Tesla S1070, Tesla T10

December 27, 2010 by hgpu

Multi-GPU and Multi-CPU Parallelization for Interactive Physics Simulations

Everton Hermann, Bruno Raffin, Francois Faure, Thierry Gautier and Jeremie Allard

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Tags: CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 295, Physics

December 27, 2010 by hgpu

Variational Bayesian Image Super-Resolution with GPU Acceleration

Giannis K. Chantas

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 285

December 27, 2010 by hgpu

Novel Architectures: Solving Computational Problems with GPU Computing

Jonathan Cohen, Michael Garland

Tags: Computer science, CUDA, nVidia, Review

December 27, 2010 by hgpu

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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Tags: Computer science, CUDA, Databases, Neuroscience, nVidia, nVidia GeForce GTX 280

December 27, 2010 by hgpu

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Kamran Karimi, Neil G. Dickson, Firas Hamze

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Physics

December 27, 2010 by hgpu

Exact calculation of disconnected loops

C. Alexandrou, D. Christaras, A. O'Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060

December 27, 2010 by hgpu

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Nachiket Kapre, Andre DeHon

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Tags: Cell processor, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9600 GT, Performance

December 26, 2010 by hgpu

A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform

Marco Ament, Gunter Knittel, Daniel Weiskopf, W. Strasser

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 295

December 26, 2010 by hgpu

Scalable learning for object detection with GPU hardware

Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

December 26, 2010 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

BVH for efficient raytracing of dynamic metaballs on GPU

GPU Supported Patch-Based Tessellation for Dual Subdivision

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Multi-GPU and Multi-CPU Parallelization for Interactive Physics Simulations

Variational Bayesian Image Super-Resolution with GPU Acceleration

Novel Architectures: Solving Computational Problems with GPU Computing

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

High-Performance Physics Simulations Using Multi-Core CPUs and GPGPUs in a Volunteer Computing Context

Exact calculation of disconnected loops

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform

Scalable learning for object detection with GPU hardware

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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