high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Jayram Moorkanikara M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum

Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 13, 2010 by hgpu

Time dependent simulation of the Driven Lid Cavity at High Reynolds Number

N. Cardoso, P. Bicudo

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Fast GPU Implementation of Sparse Signal Recovery from Random Projections

M. Andrecut

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Tags: CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 280, Signal processing

November 13, 2010 by hgpu

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Robert J. Brunner, Volodymyr V. Kindratenko, Adam D. Myers

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Tags: Algorithms, Astrophysics, Computer science, FPGA, Review

November 13, 2010 by hgpu

Fast recursive filters for simulating nonlinear dynamic systems

J. H. van Hateren

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Tags: Algorithms, Biology, Neurons and Cognition

November 13, 2010 by hgpu

Parallel Algorithm for Solving Kepler’s Equation on Graphics Processing Units: Application to Analysis of Doppler Exoplanet Searches

Eric B. Ford

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Source codes

Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Gravitation, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Parallel GPU Implementation of Iterative PCA Algorithms

M. Andrecut

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

GPU computing for 2-d spin systems: CUDA vs OpenGL

Viola Anselmi, Giovanni Conti, Francesco Di Renzo

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Physics

November 13, 2010 by hgpu

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 260, Physics

November 13, 2010 by hgpu

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean-Francois Mehaut, Alexey Neelov, Stefan Goedecker

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Physics, Tesla S1070

November 13, 2010 by hgpu

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

Shin Kee Chung, Linqing Wen, David Blair, Kipp Cannon, Amitava Datta

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Tags: CUDA, FFT, General Relativity and Quantum Cosmology, Gravitation, nVidia, nVidia GeForce 8800 Ultra, Physics

November 13, 2010 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

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Time dependent simulation of the Driven Lid Cavity at High Reynolds Number

Fast GPU Implementation of Sparse Signal Recovery from Random Projections

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Fast recursive filters for simulating nonlinear dynamic systems

Parallel Algorithm for Solving Kepler’s Equation on Graphics Processing Units: Application to Analysis of Doppler Exoplanet Searches

Parallel GPU Implementation of Iterative PCA Algorithms

GPU computing for 2-d spin systems: CUDA vs OpenGL

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

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

Most viewed papers (last 30 days)