ISCA 2023 Workshop ASSYST Submissions

Accelerating Attention Based Models via HW-SW Co-Design using Fine-Grained Sparsification
Abhimanyu Rajesh Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Tushar Krishna
- Published: 16 May 2023, Last Modified: 23 Jun 2023
- ASSYST Oral
- Readers: Everyone
DOSA: One-Loop DSE for DNN Accelerators Using Differentiable Models
Charles Hong, Qijing Huang, Grace Dinh, Sophia Shao
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Sample-Efficient Mapspace Optimization for DNN Accelerators with Bayesian Learning
Grace Dinh, Iniyaal Kannan Jegadesan Valsala, Hengrui Luo, Charles Hong, Younghyun Cho, James Demmel, Sherry Li, Yang Liu
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Towards Efficient Multi-Agent Learning Systems
Kailash Gogineni, Peng Wei, Tian Lan, Guru Prasadh Venkataramani
- Published: 16 May 2023, Last Modified: 25 Jun 2023
- ASSYST Oral
- Readers: Everyone
Online Learning for Right-Sizing Serverless Functions
Prasoon Sinha, Kostis Kaffes, Neeraja J. Yadwadkar
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms
Erika S Alcorta, Neeraja J. Yadwadkar, Andreas Gerstlauer
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Accuracy Boosters: Epoch-Driven Mixed-Mantissa Block Floating Point for DNN Training
Simla Burcu Harma, Ayan Chakraborty, Babak Falsafi, Martin Jaggi, Yunho Oh
- Published: 16 May 2023, Last Modified: 30 Jun 2023
- ASSYST Oral
- Readers: Everyone
Scaling Infrastructure to Support Multi-Trillion Parameter LLM Training
Mikhail Isaev, Nic McDonald, Richard Vuduc
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Towards A Reconfigurable Systolic Array with Multi-Level Packing for Transformers
Tiandong Zhao, Siyuan Miao, Shaoqiang Lu, JiaLin Cao, Jun Qiu, Xiao Shi, Kun Wang, Lei He
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Full Stack Optimization of Transformer Inference
Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Sophia Shao, Amir Gholami
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
ParaGAN: A Cloud Training Framework for Generative Adversarial Networks
Ziji Shi, Fuzhao Xue, Jialin Li, Yang You
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
TAP: Efficient Derivation of Tensor Parallel Plans for Large Neural Networks
Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
Efficient Deployment of Transformer Models on Edge TPU Accelerators: A Real System Evaluation
Brendan C Reidy, Mohammadreza Mohammadi, Mohammed E Elbtity, Ramtin Zand
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone
A Metric Driven Approach to Mixed Precision Training
Mitchelle Rasquinha, Gil Tabak
- Published: 16 May 2023, Last Modified: 15 Jun 2023
- ASSYST Oral
- Readers: Everyone