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Crack-free rendering of dynamically tesselated B-Rep models

Frederic Claux, Loic Barthe, David Vanderhaeghe, Jean-Pierre Jessel, Mathias Paulin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Dynamic surface, Image generation, nVidia, nVidia GeForce GTX 780, Rendering, Shaders

January 5, 2014 by hgpu

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

V. Kotamraju, S. Payandeh, J. Dill

Tags: 3D Graphics and Realism, Computer science, Dynamic surface, nVidia, nVidia GeForce 6600 GT, Sparse matrix

August 25, 2011 by hgpu

Octree-based, GPU implementation of a continuous cellular automaton for the simulation of complex, evolving surfaces

N. Ferrando, M. A. Gosalvez, J. Cerda, R. Gadea, K. Sato

Tags: Cellular automata, Dynamic surface, Physics

November 22, 2010 by hgpu

ATTUNE: Agentic Throughput Tuning for LLM Training

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

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

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

Introduction to Computer Vision

Introduction to Computer Vision

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

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

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