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An efficient solution for hazardous geophysical flows simulation using GPUs

Asier Lacasta, Carmelo Juez, Javier Murillo, Pilar García-Navarro

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Tags: CUDA, Finite volume method, Hyperbolic PDEs, Triangular meshes

March 3, 2015 by alacasta

An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes

Asier Lacasta, Mario Morales-Hernández, Javier Murillo, Pilar García-Navarro

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Tags: CUDA, Finite volume method, Hyperbolic PDEs, nVidia Tesla, Triangular meshes

September 23, 2014 by alacasta

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

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Hrag Gorune Krikor Ohannessian

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Tags: Acoustics, CUDA, Differential equations, Finite volume method, Hyperbolic PDEs, Mathematics, nVidia, nVidia GeForce GTX 460, Partial differential equations, PDEs, Tesla C2050, Wave equation

December 12, 2012 by hgpu

Parallel hyperbolic PDE simulation on clusters: Cell versus GPU

Scott Rostrup, Hans De Sterck

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Tags: Cell processor, CUDA, Hyperbolic PDEs, Hyperbolic system, Mathematics, nVidia, Package, Tesla C2050, Tesla T10

November 7, 2010 by hgpu

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

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high performance computing on graphics processing units: hgpu.org

An efficient solution for hazardous geophysical flows simulation using GPUs

An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes

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

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Parallel hyperbolic PDE simulation on clusters: Cell versus GPU

Recent source codes

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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