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Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

Ivo Hanak, Martin Janda, Vaclav Skala

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Tags: Computer holography, Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Rendering

July 16, 2011 by hgpu

Spring-Bead Animation of Viscoelastic Materials

Nobuhiko Tamura, Norimichi Tsumura, Toshiya Nakaguchi, Yoichi Miyake

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Tags: Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Particle simulation, Viscoelasticity, Visualization

June 28, 2011 by hgpu

Direct evaluation of NURBS curves and surfaces on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara Mcmains

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, nVidia, nVidia GeForce FX 6800, nVidia Quadro FX 3000, nVidia Quadro FX 4500, OpenGL

March 16, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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