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Evolving a CUDA kernel from an nVidia template

William B. Langdon, Mark Harman

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Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

January 21, 2011 by hgpu

Genetic Programming An Introductory Tutorial and a Survey of Techniques and Applications

Riccardo Poli, William B. Langdon, Nicholas F. McPhee, John R. Koza

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Tags: Algorithms, Computer science, Genetic programming, nVidia, OpenGL, RapidMind

January 21, 2011 by hgpu

A Field Guide to Genetic Programming

Riccardo Poli, William B. Langdon, Nicholas F. McPhee

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

January 21, 2011 by hgpu

A CUDA SIMT interpreter for genetic programming. Revised

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

January 21, 2011 by hgpu

Accelerating Genetic Programming through Graphics Processing Units

Wolfgang Banzhaf, Simon Harding, William B. Langdon and Garnett Wilson

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Tags: Computer science, Genetic programming, HLSL, nVidia, nVidia GeForce 8800 GTX, RapidMind, Xbox 360

January 21, 2011 by hgpu

A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 21, 2011 by hgpu

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

William B. Langdon

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Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

January 21, 2011 by hgpu

Radiometric Compensation through Inverse Light Transport

Gordon Wetzstein, Oliver Bimber

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900 GTX

January 20, 2011 by hgpu

Contouring for Power Systems Using Graphical Processing Units

Joseph Euzebe Tate, Thomas J. Overbye

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Tags: Computational Engineering, Computer science, nVidia, nVidia GeForce 7600 GT, OpenGL

January 20, 2011 by hgpu

SPRAT: Runtime processor selection for energy-aware computing

Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi

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Tags: Computer science, CUDA, Energy-efficient computing, High-level Languages, nVidia, nVidia GeForce 8800 GTX

January 20, 2011 by hgpu

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Alexander Schick, Rainer Stiefelhagen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 290, Pattern recognition

January 20, 2011 by hgpu

Fast development of dense linear algebra codes on graphics processors

M. Jesus Zafont, Alberto F. Martin, Francisco Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 20, 2011 by hgpu

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

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high performance computing on graphics processing units: hgpu.org

Applications

Evolving a CUDA kernel from an nVidia template

Genetic Programming An Introductory Tutorial and a Survey of Techniques and Applications

A Field Guide to Genetic Programming

A CUDA SIMT interpreter for genetic programming. Revised

Accelerating Genetic Programming through Graphics Processing Units

A Many Threaded CUDA Interpreter for Genetic Programming

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

Radiometric Compensation through Inverse Light Transport

Contouring for Power Systems Using Graphical Processing Units

SPRAT: Runtime processor selection for energy-aware computing

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Fast development of dense linear algebra codes on graphics processors

Recent source codes

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

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