Torch2Chip: An End-to-end Customizable Deep Neural Network Compression
and Deployment Toolkit for Prototype Hardware Accelerator Design

Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design

2 May 2024

Jian Meng

Anupreetham Anupreetham

Jae-sun Seo

Papers citing "Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design"

4 / 4 papers shown

Title
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration Yuzong Chen Ahmed F. AbouElhamayed Xilai Dai Yang Wang Marta Andronic G. Constantinides Mohamed S. Abdelfattah MQ 93 0 0 18 Nov 2024
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li Qingyi Gu MQ 36 94 0 04 Jul 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017