UPDATE: Due to the COVID-19 pandemic, HiPC 2020 will be held virtually this year. The registration fees for authors will be reduced, and details regarding the same will be communicated later. We are currently working with the sponsors to offer complimentary access to the online proceedings publication as well as participation in the virtual meeting.
HPC: Bora Uçar, CNRS and ENS Lyon, France
Data Science: Gagan Agrawal, Augusta University, USA
Algorithms: Kamesh Madduri, Pennsylvania State University, USA
Applications: Yogesh Simmhan, Indian Institute of Science, India and Ana Lucia Varbanescu, University of Amsterdam, The Netherlands
Architecture: Biswabandan Panda, IIT Kanpur, India
System Software: Marco Aldinucci, University of Torino, Italy
DATA SCIENCE TRACKS
Scalable Algorithms and Analytics: Bingsheng He, National University of Singapore and Amelie Chi Zhou, Shenzhen University, China
Scalable Systems and Software: Suren Byna, Lawrence Berkeley National Laboratory, USA
HiPC 2020 will be the 27th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications.
Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science.
Up to two best paper awards will be given for outstanding contributed papers.
This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to):
This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to):
This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to):
This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to):
Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling);
Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging);
Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance;
Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing);
Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms).
Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to):
Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams);
Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics);
Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture);
Scalable algorithms that ensure the transparency and fairness of the analysis;
Case studies, experimental studies, and benchmarks for scalable algorithms and analytics;
Scaling and accelerating machine learning, deep learning, and computer vision applications
Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to):
New parallel and distributed algorithms and design techniques;
Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications)
Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs).
Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop);
Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling);
Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes).
Abstract Submissions Deadline :
July 1, July 10, 2020
Paper Submissions Deadline :
July 8, July 15, 2020
Rebuttal Period :
August 31 , September 2, 2020
Initial Submission Decisions :
September 15, 2020
Revisions Due :
October 10, 2020
Final Notifications :
October 25, 2020
Camera Ready : November 15, 2020
Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here.
Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period
Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair at the email address below for further information or clarification. A published proceeding will be available at the conference.
At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper in person is a requirement of publication for a physical conference. Alternative forms of presentation as part of the virtual program will be specified at the time of paper acceptance. Any paper not meeting requirements for virtual presentation will not be included in IEEE Xplore.
Authors of selected high-quality papers in HiPC 2020 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing.
HiPC 2020 is co-sponsored by
In cooperation with: