HSCONN: Hardware-Software Co-Optimization of Self-Attention Neural Networks for Large Language Models

Author:

Liu Siqin1ORCID,Kuve Prakash Chand2ORCID,Karanth Avinash3ORCID

Affiliation:

1. Electrical Engineering and Computer Science, Ohio University, USA

2. Microchip Technology Corporation, India

3. Ohio University, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference18 articles.

1. PIQA: Reasoning about Physical Commonsense in Natural Language

2. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.

3. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

4. A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation

5. Optimizing energy efficiency of CNN-based object detection with dynamic voltage and frequency scaling

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