research
∙
12/10/2022
Acela: Predictable Datacenter-level Maintenance Job Scheduling
Datacenter operators ensure fair and regular server maintenance by using...
share
research
∙
09/25/2022
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET
Transient errors from the dynamic NISQ noise landscape are challenging t...
research
∙
04/22/2022
SCOPE: Safe Exploration for Dynamic Computer Systems Optimization
Modern computer systems need to execute under strict safety constraints ...
research
∙
04/11/2022
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression
Sample-efficient machine learning (SEML) has been widely applied to find...
research
∙
03/16/2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction
Datacenters execute large computational jobs, which are composed of smal...
research
∙
02/25/2022
CAFQA: Clifford Ansatz For Quantum Accuracy
Variational Quantum Algorithms (VQAs) rely upon the iterative optimizati...
research
∙
08/15/2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
We propose a novel variant of SGD customized for training network archit...
research
∙
04/25/2020
QURATOR: Innovative Technologies for Content and Data Curation
In all domains and sectors, the demand for intelligent systems to suppor...
research
∙
10/31/2019
ALERT: Accurate Learning for Energy and Timeliness
An increasing number of software applications incorporate runtime Deep N...
research
∙
10/31/2019
ALERT: Accurate Anytime Learning for Energy and Timeliness
An increasing number of software applications incorporate runtime Deep N...
research
∙
07/12/2019
Language Support for Adaptation: Intent-Driven Programming in FAST
Historically, programming language semantics has focused on assigning a ...
research
∙
10/20/2017