MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows

Pingakshya Goswami; Masoud Shahshahani

doi:10.5281/zenodo.3406668

Published September 12, 2019 | Version 1

Dataset Open

MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows

1. University of Texas at Dallas

HLS dataset for training of ML models for post route prediction of parameters. "HLS Benchmarks.zip" are in C and C++; "SystemC Version.zip" are in SystemC.

Files

HLS Benchmarks.zip

Files (3.1 GB)

Name	Size
HLS Benchmarks.zip md5:f170e303c0b2416d61f9368f88a8d86a	3.1 GB	Preview Download
SystemC Versions.zip md5:91a21378b482a6342af03a4e396df94f	4.6 MB	Preview Download

732

Views

141

Downloads

Show more details

	All versions	This version
Views	732	730
Downloads	141	140
Data volume	359.7 GB	359.7 GB

More info on how stats are collected....

DOI

Resource type

Dataset

Publisher

Zenodo

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: September 12, 2019
Modified: January 24, 2020

MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows

Authors/Creators

Description

Files

HLS Benchmarks.zip

Files (3.1 GB)