high performance computing on graphics processing units: hgpu.org

Programming

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Simulation of deformable environment with haptic feedback on GPU

Marco Altomonte, Davide Zerbato, Debora Botturi, Paolo Fiorin

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Tags: Computer science, CUDA, nVidia, Presentation, Surgical simulation

December 28, 2010 by hgpu

Cellular automaton for ultra-fast watershed transform on GPU

Claude Kauffmann, Nicolas Piche

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Tags: Algorithms, Cellular automata, Computer science, Computer vision

December 27, 2010 by hgpu

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

Accelerating geometric queries using the GPU

Adarsh Krishnamurthy, Sara McMains, Kirk Halle

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Tags: Algorithms, Computer science, Image generation, nVidia

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

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

John E. Stone, David Gohara, Guochun Shi

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Tags: ATI, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, 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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Efficient GPU Implementation of Multi-Precision Integer Division

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

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high performance computing on graphics processing units: hgpu.org

Programming

Simulation of deformable environment with haptic feedback on GPU

Cellular automaton for ultra-fast watershed transform on GPU

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

Accelerating geometric queries using the GPU

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

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

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

Recent source codes

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

Efficient GPU Implementation of Multi-Precision Integer Division

exa-AMD: Exascale Accelerated Materials Discovery

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

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