• The submission deadline (final) is on August 1st August 7th 2017, 11:59 PM Pacific Standard Time
• Papers must be submitted in PDF format via HPGDML'17 submission page
  https://wi-lab.com/cyberchair/2017/icdm17/scripts/submit.php?subarea=SP24&undisplay_detail=1&wh=/cyberchair/2017/icdm17/scripts/ws_submit.php
• All papers will be peer reviewed, single-blinded
• Decision notification will be on September 7th, 2017
• For accepted papers, at least one author must attend the workshop to present the work. Papers which do not accompany such presentation will be removed from the workshop proceedings.

Topics of Interest

The topics of interest of the HPGDML'17 include multiple aspects of graph processing and machine learning on high performance systems, but not limited to:

• Novel large graph data management systems
• Deep Learning and its applications
• Novel large graph processing frameworks and programming paradigms
• Graph processing in many core processors such as GPGPUs/FPGAs, Xeon Phi, etc.
• Graph data mining in HPC Clouds
• Workflows which involve both graph data mining and machine learning
• HPC graph databases and query languages
• Novel graph partitioning algorithms
• Application experiences of large graph processing on HPC environments
• Benchmarks for large graph processing workloads
• Performance characterization of large graph mining tasks
• Scalable graph analysis algorithms and novel data structures
• High performance streaming graph processing algorithms

Type of Papers

HPGDML'17 will host two types of papers:

• Full research papers (8 Pages)
• Short papers (4 Pages)

Authors should indicate in their abstracts the kind of submission that the paper belongs to, to help reviewers better understand their contributions.

Submission Format

Submissions must be made in PDF formatted according to IEEE 2-column template.
Submissions must be up to 8 pages full papers or 4 page short papers including references, diagrams, and appendices, if any. Submissions exceeding the above specified page limits will be rejected without review.

Publication

All articles accepted will be published by the IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library.