high performance computing on graphics processing units: hgpu.org

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Coming Soon: Research in a Cloud

Pam Frost Gorder

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Tags: Chemistry, Cloud, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, Package

June 18, 2011 by hgpu

CUDA-Based Jacobi’s Iterative Method

Zhihui Zhang, Qinghai Miao, Ying Wang

Tags: Computer science, CUDA, Linear Algebra, nVidia

June 18, 2011 by hgpu

Parallelization and characterization of GARCH option pricing on GPUs

Ren-Shuo Liu, Yun-Cheng Tsai, Chia-Lin Yang

Tags: Computational finance, CUDA, Finance, nVidia

June 17, 2011 by hgpu

A System for Capturing, Rendering and Multiplexing Images on Multi-view Autostereoscopic Display

Hock Soon Tan, Jiazhi Xia, Ying He, Y.Q. Guan

Tags: Algorithms, Computer science, Rendering

June 17, 2011 by hgpu

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Chi-Jer Yu, Chii-Tung Liu

Tags: Computer science, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 280

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Tomasz Topa, A. Noga, A. Karwowski

Tags: CUDA, Electrodynamics, nVidia

June 16, 2011 by hgpu

Using the PhysX engine for physics-based virtual surgery with force feedback

Anderson Maciel, Tansel Halic, Zhonghua Lu, Luciana P. Nedel, Suvranu De

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Rendering, Surgical simulation

June 16, 2011 by hgpu

Brownian dynamics simulations on CPU and GPU with BD_BOX

Maciej Dlugosz, Pawel Zielinski, Joanna Trylska

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Tags: Chemistry, CUDA, Molecular dynamics, MPI, nVidia, OpenMP, Package

June 16, 2011 by hgpu

High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning

Jose R. Sanjurjo, Margarita Amor, Montserrat Boo, Ramon Doallo

Tags: Algorithms, Computer science, Monte Carlo simulation, Performance

June 16, 2011 by hgpu

Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU

Takashi Uneyama

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Tags: Condensed matter, CUDA, nVidia, Physics, Soft Condensed Matter, Tesla C1060

June 16, 2011 by hgpu

Parallel cross-layer optimization of high-level synthesis and physical design

James Williamson, Yinghai Lu, Li Shang, Hai Zhou, Xuan Zeng

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Tags: CAD, Computer science, CUDA, Electronic design automation, nVidia, Tesla C1060

June 15, 2011 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Programming

CUDA-Based Jacobi’s Iterative Method

Parallelization and characterization of GARCH option pricing on GPUs

A System for Capturing, Rendering and Multiplexing Images on Multi-view Autostereoscopic Display

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Using the PhysX engine for physics-based virtual surgery with force feedback

Brownian dynamics simulations on CPU and GPU with BD_BOX

High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning

Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU

Parallel cross-layer optimization of high-level synthesis and physical design

Recent source codes

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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