RaPiD: AI Accelerator for Ultra-Low Precision Training and Inference
- Swagath Venkataramani
- Vijayalakshmi Srinivasan
- et al.
- 2021
- ISCA 2021
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45 results for Matt Ziegler
A learning-based recommender system for autotuning design flows of industrial high-performance processors
- Jihye Kwon
- Matt Ziegler
- et al.
- 2019
- DAC 2019
A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC
- Monodeep Kar
- Joel Silberman
- et al.
- 2024
- ISSCC 2024
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling
- Ankur Agrawal
- Saekyu Lee
- et al.
- 2021
- ISSCC 2021
Resilient low voltage accelerators for high energy efficiency
- Nandhini Chandramoorthy
- Karthik Swaminathan
- et al.
- 2019
- HPCA 2019
4.1 22nm Next-generation IBM System z microprocessor
- J. Warnock
- Brian Curran
- et al.
- 2015
- ISSCC 2015
POWER8TM: A 12-core server-class processor in 22nm SOI with 7.6Tb/s off-chip bandwidth
- Eric J. Fluhr
- Joshua Friedrich
- et al.
- 2014
- ISSCC 2014
A 7-nm Four-Core Mixed-Precision AI Chip with 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling
- Sae Kyu Lee
- Ankur Agrawal
- et al.
- 2021
- IEEE JSSC
A low voltage SRAM using resonant supply boosting
- Rajiv V. Joshi
- Matt Ziegler
- et al.
- 2017
- IEEE JSSC
Scalable Auto-Tuning of Synthesis Parameters for Optimizing High-Performance Processors
- Matt Ziegler
- Hung-Yi Liu
- et al.
- 2016
- ISLPED 2016