Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

1 code implementation • 23 May 2023 • Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna

Benchmarking and co-design are essential for driving optimizations and innovation around ML models, ML software, and next-generation hardware.

Benchmarking

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

no code implementations • 16 Dec 2022 • Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou

We evaluate our methodology on several production AI models, and show that benchmarks generated with Mystique closely resemble original AI models, both in execution time and system-level metrics.

Modeling and Control of Discrete Event Systems under Joint Sensor-Actuator Cyber Attacks

no code implementations • 27 Sep 2022 • Shengbao Zheng, Shaolong Shu, Feng Lin

We define the upper-bound on all possible languages that can be generated by the supervised system to investigate the safety supervisory control problem under cyber attacks.