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TransCODE: Co-design of Transformers and Accelerators for Efficient
  Training and Inference

TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference

27 March 2023
Shikhar Tuli
N. Jha
ArXivPDFHTML

Papers citing "TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference"

4 / 4 papers shown
Title
A Heterogeneous Chiplet Architecture for Accelerating End-to-End
  Transformer Models
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
Harsh Sharma
Pratyush Dhingra
J. Doppa
Ümit Y. Ogras
P. Pande
24
7
0
18 Dec 2023
Energon: Towards Efficient Acceleration of Transformers Using Dynamic
  Sparse Attention
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention
Zhe Zhou
Junling Liu
Zhenyu Gu
Guangyu Sun
56
39
0
18 Oct 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,687
0
17 Aug 2015
1