From 2a01425bc022df348da92354984967fb30e5f4e7 Mon Sep 17 00:00:00 2001 From: Hanchen Ye Date: Mon, 29 Aug 2022 17:11:05 -0500 Subject: [PATCH] [Readme] Update paper info --- README.md | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 010904e..8d5034e 100644 --- a/README.md +++ b/README.md @@ -6,13 +6,19 @@ ScaleHLS is a High-level Synthesis (HLS) framework on [MLIR](https://mlir.llvm.o By using the MLIR framework that can be better tuned to particular algorithms at different representation levels, ScaleHLS is more scalable and customizable towards various applications coming with intrinsic structural or functional hierarchies. ScaleHLS represents HLS designs at multiple levels of abstraction and provides an HLS-dedicated analysis and transform library (in both C++ and Python) to solve the optimization problems at the suitable representation levels. Using this library, we've developed a design space exploration engine to generate optimized HLS designs automatically. -For more details, please see our [HPCA'22 paper](https://arxiv.org/abs/2107.11673): +For more details, please see our [HPCA'22](https://doi.org/10.1109/HPCA53966.2022.00060) and [DAC'22](https://doi.org/10.1145/3489517.3530631) paper: ```bibtex -@article{ye2021scalehls, +@inproceedings{yehpca2022scalehls, title={ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation}, author={Ye, Hanchen and Hao, Cong and Cheng, Jianyi and Jeong, Hyunmin and Huang, Jack and Neuendorffer, Stephen and Chen, Deming}, - journal={arXiv preprint arXiv:2107.11673}, - year={2021} + booktitle={2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)}, + year={2022} +} +@inproceedings{yedac2022scalehls, + title={ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations}, + author={Ye, Hanchen and Jun, HyeGang and Jeong, Hyunmin and Neuendorffer, Stephen and Chen, Deming}, + booktitle={Proceedings of the 59th ACM/IEEE Design Automation Conference}, + year={2022} } ```