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GPU-based parallel particle swarm optimization

You Zhou, Ying Tan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, Optimization

December 21, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

PAPER – Accelerating parallel evaluations of ROCS

Imran S. Haque, Vijay S. Pande

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Tags: Chemistry, Computational chemistry, CUDA, Molecular overlay, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, ROCS, Shape comparison

November 3, 2010 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

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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