high performance computing on graphics processing units: hgpu.org

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Evolving GeneChip correlation predictors on parallel graphics hardware

William B. Langdon

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

January 21, 2011 by hgpu

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

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Evolving GeneChip correlation predictors on parallel graphics hardware

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

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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