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Evolutionary Computing on Consumer-Level Graphics Hardware

Ka-Ling Fok, Tien-TsinWong, Man-Leung Wong

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 Ultra, Shaders

January 23, 2011 by hgpu

Fast Genetic Programming and Artificial Developmental Systems on GPUs

Simon Harding and Wolfgang Banzhaf

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 7300 GO, Shaders

January 23, 2011 by hgpu

A data parallel approach to genetic programming using programmable graphics hardware

Darren M. Chitty

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Tags: Algorithms, Artificial intelligence, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6400

January 23, 2011 by hgpu

Genetic programming on GPUs for image processing

Simon Harding and Wolfgang Banzhaf

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Tags: Computer science, DirectX, Filtering, Genetic programming, Image processing, nVidia, nVidia GeForce 8800 GTX

January 23, 2011 by hgpu

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Stephane Gobron, Herve Bonafos and Daniel Mestre

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Tags: Cellular automata, Computer science, Genetic programming, GLSL, nVidia, nVidia GeForce 7600 GT, nVidia GeForce 7900 M GTX, nVidia GeForce 8600 GS, nVidia GeForce 8800 GTX, nVidia Quadro FX 3500, OpenGL, Real-time graphics, Rendering

January 23, 2011 by hgpu

A study of parallel evolution strategy: pattern search on a GPU computing platform

Weihang Zhu

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 2011 by hgpu

Multi-walk Parallel Pattern Search Approach on a GPU Computing Platform

Weihang Zhu and James Curry

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 2011 by hgpu

Implementation of Parallel Genetic Algorithms on Graphics Processing Units

Man Leung Wong and Tien Tsin Wong

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Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 6800 Ultra, Shaders

January 23, 2011 by hgpu

High performance genetic programming on GPU

Denis Robilliard, Virginie Marion, Cyril Fonlupt

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia

January 23, 2011 by hgpu

An Improved Magma Gemm For Fermi Graphics Processing Units

Rajib Nath, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Package, Tesla C2050

January 23, 2011 by hgpu

Implementing molecular dynamics on hybrid high performance computers – short range forces

W. Michael Brown, Peng Wang, Steven J. Plimpton, Arnold N. Tharrington

Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, nVidia, Physics

January 22, 2011 by hgpu

Swan: A tool for porting CUDA programs to OpenCL

M. J. Harvey, G. De Fabritiis

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Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C1060

January 22, 2011 by hgpu

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

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

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

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high performance computing on graphics processing units: hgpu.org

Evolutionary Computing on Consumer-Level Graphics Hardware

Fast Genetic Programming and Artificial Developmental Systems on GPUs

A data parallel approach to genetic programming using programmable graphics hardware

Genetic programming on GPUs for image processing

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

A study of parallel evolution strategy: pattern search on a GPU computing platform

Multi-walk Parallel Pattern Search Approach on a GPU Computing Platform

Implementation of Parallel Genetic Algorithms on Graphics Processing Units

High performance genetic programming on GPU

An Improved Magma Gemm For Fermi Graphics Processing Units

Implementing molecular dynamics on hybrid high performance computers – short range forces

Swan: A tool for porting CUDA programs to OpenCL

Recent source codes

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

Device Virtual Machine (DVM)

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

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

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

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

True 4-Bit Quantized CNN Training on CPU

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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