Call for Papers: The First International Workshop on High Performance Graph Processing (HPGP'16)
Co-located with 25th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan
Workshop website: http://hpgp.bsc.es/
Call for Papers
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Applications which need to manage and process large scale graph data have become prominent in recent times. Semantic web, bioinformatics, cheminformatics, etc. are some examples for such application domains which deal with large graphs of millions and billions of vertices. Graphs due to their linked nature pose significant challenges for storage and processing. Graph processing have attracted significant attention from High Performance Computing (HPC) community due to this reason. Significant body of research have been conducted in recent times to address the void of large graph data analysis. New programming models such as Pregel, graph processing frameworks such as Giraph, Hama, and libraries such as GraphLab, PBGL, ScaleGraph have been developed to address the need of software for high performance large graph processing. Furthermore, large scale distributed memory compute clusters, single shared memory high performance computers, heterogeneous hardware such as GPGPUs, FPGAs have been tested for carrying out large graph data processing tasks. These efforts have been bolstered by graph related benchmarking initiatives such as Graph 500, Green Graph 500, etc. Despite these significant research efforts, there exist significant issues and technical gaps which need to be solved in the area of high performance graph data mining.
High Performance Graph Processing 2016 (HPGP’16) workshop aims to provide a unified platform for discussing the latest state-of-the-art efforts conducted to address such research issues related to high performance large graph processing. HPGP’16 will be held in conjunction with the ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2016 as a half-day workshop. The workshop will take place in the beautiful, ancient city of Kyoto at Kyoto International Community House. We invite researchers from academia and industry working in graph data mining and management in high performance computing environments to submit their original (full/short) papers. Submissions will be peer reviewed in single-blinded manner and each submission will receive minimum two reviewer comments. The main topics of the workshop include, but not limited to:
* Novel large graph processing frameworks and programming paradigms
* Graph processing in many core processors such as GPGPUs/FPGAs, Xeon Phi, etc.
* Graph processing in Clouds
* 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
Submission Guidelines
---------------------
A submitted paper should be of one of the following type:
1. Regular Research Paper: The paper will report original research results with sound evaluation. It should be at most 8 pages.
2. Short Paper: The paper will present a survey or an on-going work. It will clearly state the problem to be addressed and an outline of the methodology that the authors plan to follow. It should be at most 4 pages.
All submissions must be prepared in the ACM Proceedings Style (http://www.acm.org/sigs/publications/proceedings-templates). The papers must be formatted as single-blinded. All accepted submissions will be published in the ACM digital library.
Important Dates
-----------------
Paper submission deadline: 6th Feb 2016
Decision notification: 12th March 2016
Camera-ready deadline: 27th March 2016
Workshop date: 31st May 2016
Co-located with 25th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan
Workshop website: http://hpgp.bsc.es/
Call for Papers
---------------------
Applications which need to manage and process large scale graph data have become prominent in recent times. Semantic web, bioinformatics, cheminformatics, etc. are some examples for such application domains which deal with large graphs of millions and billions of vertices. Graphs due to their linked nature pose significant challenges for storage and processing. Graph processing have attracted significant attention from High Performance Computing (HPC) community due to this reason. Significant body of research have been conducted in recent times to address the void of large graph data analysis. New programming models such as Pregel, graph processing frameworks such as Giraph, Hama, and libraries such as GraphLab, PBGL, ScaleGraph have been developed to address the need of software for high performance large graph processing. Furthermore, large scale distributed memory compute clusters, single shared memory high performance computers, heterogeneous hardware such as GPGPUs, FPGAs have been tested for carrying out large graph data processing tasks. These efforts have been bolstered by graph related benchmarking initiatives such as Graph 500, Green Graph 500, etc. Despite these significant research efforts, there exist significant issues and technical gaps which need to be solved in the area of high performance graph data mining.
High Performance Graph Processing 2016 (HPGP’16) workshop aims to provide a unified platform for discussing the latest state-of-the-art efforts conducted to address such research issues related to high performance large graph processing. HPGP’16 will be held in conjunction with the ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2016 as a half-day workshop. The workshop will take place in the beautiful, ancient city of Kyoto at Kyoto International Community House. We invite researchers from academia and industry working in graph data mining and management in high performance computing environments to submit their original (full/short) papers. Submissions will be peer reviewed in single-blinded manner and each submission will receive minimum two reviewer comments. The main topics of the workshop include, but not limited to:
* Novel large graph processing frameworks and programming paradigms
* Graph processing in many core processors such as GPGPUs/FPGAs, Xeon Phi, etc.
* Graph processing in Clouds
* 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
Submission Guidelines
---------------------
A submitted paper should be of one of the following type:
1. Regular Research Paper: The paper will report original research results with sound evaluation. It should be at most 8 pages.
2. Short Paper: The paper will present a survey or an on-going work. It will clearly state the problem to be addressed and an outline of the methodology that the authors plan to follow. It should be at most 4 pages.
All submissions must be prepared in the ACM Proceedings Style (http://www.acm.org/sigs/publications/proceedings-templates). The papers must be formatted as single-blinded. All accepted submissions will be published in the ACM digital library.
Important Dates
-----------------
Paper submission deadline: 6th Feb 2016
Decision notification: 12th March 2016
Camera-ready deadline: 27th March 2016
Workshop date: 31st May 2016
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