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Vitis Data Analytics Library
2022.1

Library Overview

  • Vitis Data Analytics Library
  • Release Note
  • Requirements
  • Design Flows
  • Vitis Data Analytics Library Tutorial

L1 User Guide

  • L1 Module User Guide

L2 User Guide

  • L2 Kernel User Guide
    • Kernel Templates in xf::data_analytics::clustering
    • Kernel Templates xf::data_analytics::regression
    • Kernel Templates in xf::data_analytics::text
    • Kernel Templates in xf::data_analytics::dataframe
    • Kernel Templates in xf::data_analytics::geospatial
    • Design Internals
      • Decision Tree (training)
      • Internals of kMeansTaim
      • Random Forest (training)
      • Stochastic Gradient Descent Framework
      • Internals of svm_train
      • Regular Expression Engine (reEngine)
      • GeoIP Engine
      • Two Gram Predicate
      • STRTree Engine
      • GeoSpatial K-nearest Neighbors

L3 User Guide

  • L3 Overlay User Guide

Benchmark Result

  • Benchmark

Versions

Vitis Data Analytics Library
  • »
  • L2 Kernel User Guide »
  • Design Internals

Design Internals¶

The profiling in this documentation is based on U250, and the tool version is Vitis-2020.1.

  • Decision Tree (training)
  • Internals of kMeansTaim
  • Random Forest (training)
  • Stochastic Gradient Descent Framework
  • Internals of svm_train
  • Regular Expression Engine (reEngine)
  • GeoIP Engine
  • Two Gram Predicate
  • STRTree Engine
  • GeoSpatial K-nearest Neighbors
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