Introduction
The High Performance Graph Data Management and Processing (HPGDMP) workshop will be held on November 13th 2016, at Salt Lake City, USA. The workshop will be co-located with the International Conference for High Performance Computing, Networking, Storage and Analysis conference (SC16), and it is organized in cooperation with the SIGHPC group. The HPGDMP is a half-day workshop and the program will include keynotes and paper presentations. Proceedings will be published through SIGHPC.
Call for paper
Important date
Submission Topics
The topics of interest of the HPGDMP'16 include multiple aspects of graph data management and processing on high performance systems, but not limited to:
- Novel large graph data management systems
- Novel large graph processing frameworks and programming paradigms
- Graph processing in manycore processors such as GPUs, Xeon Phi, etc.
- Graph data management and processing in the cloud
- 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
Guidlines
HPGDMP'16 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.
All Comments
Important Date
-
Nov 13
2016
Conference Date
-
Aug 08 2016
Draft paper submission deadline
-
Sep 28 2016
Draft Paper Acceptance Notification
-
Nov 13 2016
Registration deadline
Contact Information
Submit Comment