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

Author:

Tuli Shikhar1ORCID,Jha Niraj K.1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Reference66 articles.

1. A3: Accelerating attention mechanisms in neural networks with approximation;ham;Proc Int Symp High-Perform Comput Archit,2020

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3. Using DeepSpeed and megatron to train megatron-turing NLG 530B, a large-scale generative language model;smith;arXiv 2201 11990,2022

4. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

5. Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention

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