Commit f8f879d6 authored by Leonardo Solis's avatar Leonardo Solis

Update README.md

parent 01e35207
......@@ -9,11 +9,21 @@ OpenCL task-parallel version of AutoDock4 for FPGAs.
It achieves speed-ups of up to 2.7x over the original single-threaded AutoDock 4.2 on CPU.
# Development branches
The master branch points to the latest OCLADock-FPGA version: [lga-aoc160](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/lga-aoc160).
The other branches are under regular development & optimization. Their labels follow this convention: `<ALGORITHM>-<TOOL>`:
* [ga-aoc160](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/ga-aoc160): Genetic Algorithm (traditional) - Altera OpenCL Compiler v16.0
* [lga-intel171](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/lga-intel171): Lamarckian Genetic Algorithm - Intel FPGA SDK for OpenCL v17.1
* [lga-sdx174](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/lga-sdx174): Lamarckian Genetic Algorithm - Xilinx SDAccel v2017.4
# Development tools
Intel (Altera) OpenCL Compiler v16.0 (Quartus upgraded and patched: 16.0.0.211).
Specific information of the utilized OpenCL tools can be found in the respective README.md for each development branch.
Initialization scripts automate the tool setup-process:
Initialization scripts automate the tool setup-process. E.g.:
```zsh
% source init_aoc160_gidel.sh
......@@ -59,16 +69,6 @@ make hw-prof
make exe
```
# Development branches
The master branch points to the latest OCLADock-FPGA version: [lga-aoc160](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/lga-aoc160).
The other branches are regular development & optimization. Their labels follow this convention: `<ALGORITHM>-<TOOL>`
* [ga-aoc160](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/ga-aoc160): Genetic Algorithm (traditional) - Altera OpenCL Compiler v16.0
* [lga-intel171](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/lga-intel171): Lamarckian Genetic Algorithm - Intel FPGA SDK for OpenCL v17.1
* [lga-sdx174](https://git.esa.informatik.tu-darmstadt.de/docking/ocladock-fpga/tree/lga-sdx174): Lamarckian Genetic Algorithm - Xilinx SDAccel v2017.4
# Documentation
For more details, go to the [Documentation](doc/readme/home.md).
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