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Collective mind: Towards practical and collaborative auto-tuning
Grigori Fursin
, Renato Miceli
, Anton Lokhmotov
,
Michael Gerndt
, Marc Baboulin
, Allen D. Malony
, Zbigniew Chamski
, Diego Novillo
, Davide Del Vento
Informatics 10 - Associate Professorship of Architecture of Parallel and Distributed Systems
INRIA Institut National de Recherche en Informatique et en Automatique
Université Rennes 1
ICHEC
Arm Ltd.
University of Oregon
Infrasoft IT Solutions
Google Inc
National Center for Atmospheric Research
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Scopus citations
Overview
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Keyphrases
Collective Mind
100%
Benchmark Dataset
50%
Machine Learning Techniques
50%
Search Strategy
50%
Power Consumption
50%
Execution Time
50%
Computer System
50%
World Wide Web
50%
Behavioral Abnormalities
50%
Machine Learning Models
50%
Behavioral Model
50%
Code Size
50%
Benchmarking Method
50%
Collaborative Approach
50%
Performance Data
50%
Data Sharing
50%
Software Dependencies
50%
Software Stack
50%
Complex Software
50%
Computer Engineering
50%
Collaborative Research
50%
Complex Behavior
50%
Reproducible Research
50%
Knowledge Management System
50%
Multidimensional Optimization
50%
Shared Component
50%
Hardware Stack
50%
Hardware Dependencies
50%
Strategic Learning
50%
Optimization Space
50%
Misprediction
50%
New Publications
50%
Metadescription
50%
Publication Model
50%
Repo
50%
Modular Infrastructure
50%
Further Analysis
50%
Autotuning Method
50%
Computer Science
Research Material
100%
Computer Hardware
100%
Power Consumption
50%
Execution Time
50%
Benchmarking
50%
Machine Learning Technique
50%
Optimization Space
50%
Knowledge Management System
50%
Search Strategies
50%
Computer System
50%
Experimental Result
50%
Performance Data
50%
Machine Learning Model
50%