high performance computing on graphics processing units: hgpu.org

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Efficient algorithms for the realistic simulation of fluids

Jesus Ojeda Contreras

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, nVidia GeForce GTX 280, Thesis, Visualization

July 16, 2013 by hgpu

Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters

Tingxing Dong, Veselin Dobrev, Tzanio Kolev, Robert Rieben, Stanimire Tomov, Jack Dongarra

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Tags: CUDA, FEM, Finite element method, Fluid dynamics, GPU cluster, Linear Algebra, MPI, nVidia, Tesla M2050, Tesla M2090

July 15, 2013 by hgpu

A framework for cost based optimization of hybrid CPU/GPU query plans in database systems

Sebastian Bress, Ingolf Geist, Eike Schallehn, Maik Mory, Gunter Saake

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

July 15, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

Parallelization of SAT Algorithms on GPUs

Carlos Costa

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Tags: Algorithms, Computer science, CUDA, nVidia, SAT

July 15, 2013 by hgpu

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

C. E. Castro, J. Behrens, C. Pelties

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Tags: CUDA, Differential equations, Earth and Space Sciences, Geoscience, Hyperbolic PDEs, Matrix multiplication, nVidia, Partial differential equations, PDEs, Tesla C2070

July 15, 2013 by hgpu

GPU Based Implementation of Recursive Digital Filtering Algorithms

Dong-hwan Lee, Wonyong Sung

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

July 15, 2013 by hgpu

Exploiting Space and Time Coherence in Grid-based Sorting

Rubens Carlos Silva Oliveira, Claudio Esperanca, Antonio Oliveira

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, nVidia, nVidia GeForce GT 540 M, OpenCL, Particle simulation, Sorting

July 15, 2013 by hgpu

Near-LSPA Performance at MSA Complexity

Joao Andrade, Gabriel Falcao, Vitor Silva, Joao P. Barreto, Nuno Goncalves, Valentin Savin

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Tags: Computer science, CUDA, nVidia, Parity-check codes, Tesla M2050

July 15, 2013 by hgpu

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Carlo Lancia, Benedetto Scoppola

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Tags: CUDA, Ising model, Mathematical Physics, Nearest neighbour, nVidia, Physics, Tesla K20

July 14, 2013 by hgpu

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

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Tags: Book, Computer science, CUDA, Image processing, N-body simulation, nVidia, Overview, Package

July 13, 2013 by hgpu

Optimized MFCC Feature Extraction on GPU

Haofeng Kou, Weijia Shang, Ian Lane, Jike Chong

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

July 13, 2013 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

Efficient algorithms for the realistic simulation of fluids

Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters

A framework for cost based optimization of hybrid CPU/GPU query plans in database systems

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Parallelization of SAT Algorithms on GPUs

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

GPU Based Implementation of Recursive Digital Filtering Algorithms

Exploiting Space and Time Coherence in Grid-based Sorting

Near-LSPA Performance at MSA Complexity

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Optimized MFCC Feature Extraction on GPU

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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