SCHEDULE: NOV 15-20, 2015

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

MLTUNE: A Tool-Chain for Automating the Workflow of Machine-Learning Based Performance Tuning

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Biplab Kumar Saha, Saami Rahman, Apan Qasem

ROOM:Level 4 - Lobby

ABSTRACT:

Recent interest in machine learning-based methods have produced several sophisticated models for performance optimization and workload characterization. Generally, these models are sensitive to architectural parameters and are most effective when trained on the target platform. Training of these models, however, is a fairly involved process. It requires knowledge of statistical techniques that the end-users of such tools may not possess. This poster presents MLTUNE, a tool-chain that automates the workflow for developing machine learning algorithms for performance tuning. Leveraging existing open-source software, the tool-chain provides automated mechanisms for sample generation, dynamic feature extraction, feature selection, data labeling, validation and model selection. MLTUNE can also be used by performance engineers to build their own learning models. The poster highlights the key design features of MLTUNE, which sacrifices some sophistication for generalization and automation. The system's applicability is demonstrated with an auto-generated model for predicting profitable affinity configurations for parallel workloads.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Biplab Kumar Saha - Texas State University

Saami Rahman - Texas State University

Apan Qasem - Texas State University

  Click here to download .ics calendar file

  Click here to download .vcs calendar file

  Click here to add event to your Google Calendar