Jiecao Yu

Scalpel

David J. Palframan, Ganesh S. Dasika, S. Mahlke, 2017 .

First-Generation Inference Accelerator Deployment at Facebook pdf

Yinghai Lu, Martin D. Schatz, Michael Gschwind, 2021, ArXiv.

Bit Prudent In-Cache Acceleration of Deep Convolutional Neural Networks

Reetuparna Das, Xiaowei Wang, Charles Augustine, 2019, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).

Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data pdf

Qiang Liu, Jiyan Yang, Arun Kejariwal, 2020, ArXiv.

Scalpel: Customizing DNN pruning to the underlying hardware parallelism

Scott A. Mahlke, Reetuparna Das, David J. Palframan, 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).

Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems

Tianxiang Gao, Arun Kejariwal, Jongsoo Park, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

TF-Net

Reetuparna Das, Scott Mahlke, Jiecao Yu, 2019, ACM Trans. Embed. Comput. Syst..

Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs

Reetuparna Das, Eriko Nurvitadhi, Valeria Bertacco, 2021, 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Retrospective: Scalpel: Customizing DNN Pruning to the Underlying Hardware Parallelism

S. Mahlke, Jiecao Yu, Reetuparna Das, 2023 .