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Task-Level Parallelization for HLS

Feature Synopsis

  • software simulation (not cycle-accurate)
  • Xilinx HLS backend
  • HeteroCL frontend

Application Synopsis

App Properties Details # Streams # Tasks # Steps
bandwidth static bandwidth test using async_mmap 4 4 1
cannon static,feedback Cannon's algorithm 20 7 1
graph dynamic,feedback connected components 6 3 1
jacobi static 5-point stencil 23 17 1
vadd static naïve vector addition 3 4 1

Getting Started

Prerequisites

  • Ubuntu 16.04+ (18.04 recommended)
  • Python 3.6+

Install from GitHub

Ubuntu 16.04

You'll need to install Python 3.6 or higher and use that.

sudo tee /etc/apt/sources.list.d/tlp.list <<EOF
deb [arch=amd64] https://about.blaok.me/tlp xenial main
EOF
sudo apt update
sudo apt install -y hlstlp
sudo -H python3.6 -m pip install tlpc

Ubuntu 18.04

sudo tee /etc/apt/sources.list.d/tlp.list <<EOF
deb [arch=amd64] https://about.blaok.me/tlp bionic main
EOF
sudo apt update
sudo apt install -y hlstlp
sudo -H python3 -m pip install tlpc

Install from Source

Build Prerequisites

  • CMake 3.13+
  • A C++11 compiler
  • Google glog library
  • Clang headers

Build tlpcc

mkdir build
cd build
cmake ..
make
make test
cd ..
sudo ln -s backend/python/tlpc /usr/local/bin/
sudo ln -s build/backend/tlpcc /usr/local/bin/

Known Issues

  • Template functions cannot be tasks

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Release history Release notifications | RSS feed

0.0.20200716.1

3 files

0.0.20200711.1

3 files

0.0.20200612.1

3 files

This release

0.0.20200517.1 This release

3 files

0.0.20200513.1

3 files

0.0.20200423.1

3 files

0.0.20200221.1

2 files

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