[Storage-research-list] Submissions Open - IEEE International
Conference on High Performance Computing, Data, and Analytics 2019
by Sanmukh Kuppannagari
**********************************************************************
We apologize if you received multiple copies of this email
**********************************************************************
We are now accepting submissions for HiPC 2019 via
https://easychair.org/conferences/?conf=hipc2019
The list of topics and the original call for paper can be found below and
at the conference website: https://hipc.org/call-for-papers/
**********************************************************************
HiPC 2019 CALL FOR PAPERS
**********************************************************************
26th IEEE International Conference on High Performance Computing, Data, and
Analytics
December 17-20, 2019, Hyderabad, India
https://hipc.org/
PROGRAM CHAIRS
Ananth Kalyanaraman, Washington State University, USA
George Karypis, University of Minnesota, USA
PROGRAM VICE-CHAIRS
HPC Tracks:
Algorithms: Bora Uçar, CNRS and École normale supérieure de Lyon, France
Applications: Alba Cristina M.A. de Melo, University of Brasilia, Brazil
Architecture: Smruti Ranjan Sarangi, Indian Institute of Technology Delhi,
India
System Software: Sriram Krishnamoorthy, Pacific Northwest National
Laboratory, USA
Data Science Tracks:
Scalable Algorithms and Analytics: Srinivasan Parthasarathy, Ohio State
University, USA
Scalable Systems and Software: Gagan Agrawal, Ohio State University, USA
HiPC 2019 Call For Papers
HiPC 2019 will be the 26th 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Authors are invited to submit original unpublished research manuscripts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.
High Performance Computing tracks:
Algorithms: 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):
* New parallel and distributed algorithms and design techniques;
* Advances in enhancing algorithmic properties or providing guarantees
(e.g., fault tolerance, resilience, concurrency, data locality,
communication-avoiding);
* Classical and emerging computation models (e.g., parallel/distributed
models, quantum computing, neuromorphic and other bioinspired models);
* Provably efficient parallel and distributed algorithms for advanced
scientific computing and irregular applications (e.g., numerical linear
algebra, graph algorithms, computational biology); and
* Algorithmic techniques for resource allocation and optimization (e.g.,
scheduling, load balancing, resource management);
Architectures: 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):
* Design and evaluation of high performance processing architectures (e.g.,
reconfigurable, system-on-chip, manycores, vector processors);
* Design and evaluation of networks for high performance computing
platforms (e.g., interconnect topologies, network-on-chip);
* Design and evaluation of memory, cache and storage architectures (e.g.,
3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O);
* Approaches to improve architectural properties (e.g., energy/power
efficiency, reconfigurable, resilience/fault tolerance, security/privacy);
and
* Emerging computational architectures (e.g., quantum computing,
neuromorphic and other bioinspired architectures).
Applications: This track invites papers that describe original research on
the design and implementation of scalable applications for execution on
parallel and distributed platforms, and related advances. Examples of
topics of interest include (but not limited to):
* Design and implementation of shared and distributed memory parallel
applications (e.g., scientific computing and industry applications,
emerging applications in IoT and life sciences - biology, medicine,
chemistry, etc.);
* Design and simulation methodologies for scaling applications on peta- and
exascale platforms (e.g., co-design approaches, hardware/software
co-design, heterogeneous and hybrid programming);
* Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU
clusters, FPGA, vector processors, manycore); and
* Design of application benchmarks for parallel and distributed platforms.
Systems Software: 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):
* Scalable systems and software architectures for high performance
computing (e.g., middleware, operating systems, I/O services);
* 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); and
* Software and programming paradigms for heterogeneous platforms (e.g.,
libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms);
Data Science tracks:
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):
* New scalable algorithms for fundamental data analysis tasks (supervised,
unsupervised learning, and pattern discovery);
* 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 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); and
* Scalable algorithms that ensure the transparency and fairness of the
analysis.
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):
* Design of scalable system software to support various applications (e.g.,
recommendation systems, web search, crowdsourcing applications, streaming
applications)
* Design of 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);
* Design and implementation of systems software for distributed data
frameworks (e.g., distributed file system, virtualization, cloud services,
resource optimization, scheduling); and
* Standards and protocols for enhancing various aspects of data analytics
(e.g., open data standards, privacy preserving and secure schemes).
One or more best paper awards will be given for outstanding contributed
papers.
IMPORTANT DATES
Abstract Submission: Friday, June 7, 2019
Paper Submission: Friday, June 14, 2019
Reviews for Rebuttals: Monday, July 29, 2019
Rebuttals due: Monday, August 5, 2019
Initial Submission Decision: Monday, August 19, 2019
Revisions Due: Friday, September 20, 2019
Author Notification: Monday, September 30, 2019
Camera Ready: Monday, October 14, 2019
Manuscript Guidelines
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 8.5x11 inch pages (IEEE conference style), including figures, tables,
and references. See IEEE style templates at this page for details.
Electronic submissions must be in the form of a readable PDF file.
Manuscripts must be received by the published paper submission deadline.
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. This should be in a separate
paragraph in the introduction to the paper. Please note that the review
process is “single-blind” (i.e., authors can list their names on the
paper). This year we are introducing a two-phase review process, in which
the first round of reviews will be made available to the authors for a
brief rebuttal. Based on the reviews and the rebuttal, an initial decision
will be issued. Papers will be either accepted or rejected or recommended
for a second round. Authors of papers recommended for a second round will
be allowed to revise the paper to address the comments and suggestions made
by the program committee. The revisions will undergo a second round of
review before the final notification.
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 Chairs of the respective tracks at their contact
email addresses below for further information or clarification.
Notification of review decisions will be emailed by September 30, 2019.
Camera-ready papers are due by October 14, 2019. A published proceedings
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 at the conference is a requirement of publication. Any paper
that is not presented at the conference will not be included in IEEE Xplore.
Easychair Submission link:
https://easychair.org/conferences/?conf=hipc2019
Journal Special Issue: Authors of selected high quality papers in HiPC 2019
will be invited to submit extended version of their papers for possible
publication in a special issue of Journal of Parallel and Distributed
Computing.
PLEASE NOTE:
* Authors must register their paper and submit an abstract, typically a
paragraph or two, by June 7, 2019
* Authors must then submit full versions of registered papers by June 14,
2019
* All deadlines are end of day ANYWHERE ON EARTH.
* Links to EasyChair submissions:
https://easychair.org/conferences/?conf=hipc2019
Contact Information
* High Performance Computing tracks:
Ananth Kalyanaraman, Washington State University, USA, ananth(a)wsu.edu
* Data Science tracks:
George Karypis, University of Minnesota, USA, karypis(a)umn.edu
___________________________________________________
HiPC 2019 is co-sponsored by
• IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
• HiPC Education Trust, India
In cooperation with
• ACM Special Interest Group on Algorithms and Computation Theory (SIGACT)
• ACM Special Interest Group on Computer Architecture (SIGARCH)
• FIP Working Group on Concurrent Systems
• Manufacturers' Association for Information Technology (MAIT)
• National Association of Software and Service Companies (NASSCOM)
_______________________________________________
Storage-research-list mailing list
Storage-research-list(a)ece.cmu.edu
https://lists.andrew.cmu.edu/mailman/listinfo/storage-research-list
4 years, 11 months
- 1
- 0
[Storage-research-list] SYSTOR 2019 - Call for participation
by Eran Gilad via Storage-research-list
SYSTOR 2019 will take place on June 3-5, at Haifa, Israel.
Registration is now open:
https://www.systor.org/2019/registration.html
The organizing committee is delighted to invite you to the 12th ACM
International Systems and Storage Conference, SYSTOR 2019. SYSTOR is a
single-track conference that serves as an international platform
dedicated to the broad area of systems and storage. The technical
program features original peer-reviewed research papers, three
keynotes delivered by distinguished speakers, highlight papers
recently published in related top-tier conferences, and a poster
session. SYSTOR 2019 is sponsored by SIGOPS and in cooperation with
Usenix.
Keynotes:
* James Larus (EPFL) - Caches Are Not Your Friends: Programming
Non-Volatile Memory
* Bill Bolosky (Microsoft Research) - Biological Data Is Coming to
Destroy Your Storage System
* James Bottomley (IBM Research) - Is there Virtualization Beyond
Containers? And Is It Useful to the Cloud?
Social event:
* Guided Tour of Carmel Mountains Area
The full program is available at https://www.systor.org/2019/program.html
Conference Organizers
=====================
Program Chairs:
Ashvin Goel (University of Toronto)
Adam Morrison (Tel Aviv University, Israel)
General Chair:
Moshik Hershcovitch (IBM Research - Haifa, Israel)
Steering Committee Head:
Dalit Naor (IBM Research - Haifa, Israel)
Steering Committee:
Michael Factor (IBM Research - Haifa, Israel)
Ethan Miller (University of California Santa Cruz, USA)
Liuba Shrira (Brandeis University, USA)
Dan Tsafrir (Technion, Israel & VMware Research Group, USA)
Erez Zadok (Stony Brook University, USA)
Publicity Chair:
Eran Gilad (Yahoo Research / Verizon, Israel)
_______________________________________________
Storage-research-list mailing list
Storage-research-list(a)ece.cmu.edu
https://lists.andrew.cmu.edu/mailman/listinfo/storage-research-list
4 years, 11 months
- 1
- 0
- ← Newer
- 1
- Older →