posted by user: fpkibm || 4085 views || tracked by 5 users: [display]

FastPath 2020 : FastPath 2020: International Workshop on Performance Analysis of Machine Learning Systems (An ISPASS Workshop under the auspices of IEEE)

FacebookTwitterLinkedInGoogle

Link: https://fastpath2020.github.io
 
When Apr 5, 2020 - Apr 5, 2020
Where Boston, Massachusetts, United States
Submission Deadline Feb 21, 2020
Notification Due Mar 2, 2020
Final Version Due Apr 5, 2020
Categories    machine learning   performance analysis   converged infrastructure   cloud
 

Call For Papers

April 5, 2020 - Boston, Massachusetts, United States
https://fastpath2020.github.io in conjunction with ISPASS 2020: http://www.ispass.org/ispass2020

SUMMARY
FastPath 2019 brings together researchers and practitioners involved in crossstack hardware/software performance analysis, modeling, and evaluation for efficient machine learning systems. Machine learning demands tremendous amount of computing. Current machine learning systems are diverse, including cellphones, high performance computing systems, database systems, self-driving cars, robotics, and in-home appliances. Many machine-learning systems have customized hardware and/or software. The types and components of such systems vary, but a partial list includes traditional CPUs assisted with accelerators (ASICs, FPGAs, GPUs), memory accelerators, I/O accelerators, hybrid systems, converged infrastructure, and IT appliances. Designing efficient machine learning systems poses several challenges.

These include distributed training on big data, hyper-parameter tuning for models, emerging accelerators, fast I/O for random inputs, approximate computing for training and inference, programming models for a diverse machine-learning workloads, high-bandwidth interconnect, efficient mapping of processing logic on hardware, and cross system stack performance optimization. Emerging infrastructure supporting big data analytics, cognitive computing, large-scale machine learning, mobile computing, and internet-of-things, exemplify system designs optimized for machine learning at large.

TOPICS
FastPath seeks to facilitate the exchange of ideas on performance optimization of machine learning/AI systems and seeks papers on a wide range of topics including, but not limited to:

- Workload characterization, performance modeling and profiling of machine learning applications
- GPUs, FPGAs, ASIC accelerators
- Memory, I/O, storage, network accelerators
- Hardware/software co-design
- Efficient machine learning algorithms
- Approximate computing in machine learning
- Power/Energy and learning acceleration
- Software, library, and runtime for machine learning systems
- Workload scheduling and orchestration
- Machine learning in cloud systems
- Large-scale machine learning systems
- Emerging intelligent/cognitive system
- Converged/integrated infrastructure
- Machine learning systems for specific domains, e.g., financial, biological, education, commerce, healthcare


SUBMISSION
Prospective authors must submit a 2-4 page extended abstract: https://easychair.org/conferences/?conf=fastpath2020

Authors of selected abstracts will be invited to give a 30-min presentation at the workshop.

KEY DATES
Submission: February 21, 2020 Notification: March 2, 2020 Final Materials / Workshop: April 5, 2020

ORGANIZERS
General Chair: Erik Altman Program Committee Chairs: Parijat Dube, Vijay Janapa Reddi

PROGRAM COMMITTEE
Christophe Dubach McGill University
Christopher Fletcher University of Illinois at Urbana-Champaign
Jangwoo Kim Seoul National University
Tushar Krishna Georgia Tech
Gennady Pekhimenko University of Toronto
Brandon Reagan NYU / Facebook

CONFIRMED SPEAKERS
Colby Banbury (Harvard)
Grigori Fursin (CTuning)
Leopold Grinberg (IBM)

Related Resources

AASDS 2024   Special Issue on Applications and Analysis of Statistics and Data Science
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI
ICSTTE 2025   2025 3rd International Conference on SmartRail, Traffic and Transportation Engineering (ICSTTE 2025)
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
SI AIMLDE 2024   SPECIAL ISSUE on Applied Artificial intelligence, Machine Learning, and Data Engineering
Ei/Scopus-CISDS 2024   2024 3rd International Conference on Communications, Information System and Data Science (CISDS 2024)
ICMLT 2025   2025 10th International Conference on Machine Learning Technologies (ICMLT 2025)