Accepted Papers

Machine Learning-Based Multi-Objective Prediction and Scheduling on Highly Heterogeneous Systems

Ismail Akturk (University of Missouri)

Sinan: Data-Driven Resource Management for Interactive Microservices

Yanqi Zhang (Cornell); Weizhe Hua (Cornell University); Zhuangzhuang Zhou (Cornell University); Christina Delimitrou (Cornell); Edward Suh (Cornell University)

Sage: Leveraging ML To Diagnose Unpredictable Performance in Cloud Microservices

Yu Gan (Cornell University); Christina Delimitrou (Cornell)

Branch Prediction with Multi-Layer Neural Networks: The Value of Specialization

Siavash Zangeneh (University of Texas at Austin); Stephen Pruett (The University of Texas at Austin); Yale Patt (The University of Texas at Austin)

WaveQ: Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Regularization

Ahmed Taha Elthakeb (University of California, San Diego); Prannoy Pilligundla (University of California, San Diego); Fatemeh Mireshghallah (University of California, San Diego ); Tarek Elgindi (University of California, San Diego ); Charles-Alban Deledalle (IMB, CNRS, Univ Bordeaux); Hadi Esmaeilzadeh (University of California, San Diego)

Σ∆-BNN: Sigma-Delta Approach for Deep Neural Networks Binarization

Ahmed Taha Elthakeb (University of California, San Diego); Hadi Esmaeilzadeh (University of California, San Diego)