[hpc-announce] IPDPS 2021 (Virtual 17-21 May) - PhD Forum accepting applications

[Aparna Chandramowlishwaran]

IEEE IPDPS 2021

35th IEEE International Parallel & Distributed Processing Symposium

May 17-21, 2021

TO BE HELD VIRTUALLY

www.ipdps.org


IPDPS 2021 Goes Virtual

Planning has begun to conduct a virtual program that will allow live
sessions of invited speakers and author presentations, supplemented by
online and on-demand material including videos, slides, and recorded
discussions. When we know more about the program and how we will
accommodate the international audience across time zones, we will also
announce registration fees. Check for updates at ipdps.org


IPDPS 2021 PhD Forum - Now open for applications

The annual IPDPS PhD Forum event will be held virtually in 2021 with the
traditional poster presentations by students working toward a PhD in
broadly defined areas related to parallel and distributed processing. The
program will include a career mentoring panel for participating students. The
conference will include the extended abstracts for the posters accepted for
presentation at the PhD Forum as part of the conference workshop
proceedings (IPDPSW 2021).

Applicant students must be officially enrolled in a PhD program at the time
of submission, and each submission MUST be backed by a specific endorsement
from the official PhD advisor(s). Masters students on track to enter a PhD
program may apply but should meet the same standards as other applicants.
Applications will be accepted on a rolling selection basis until the
capacity is reached, based on the following schedule:

Application received by 28-Feb-2021

Acceptance notice will be sent by 7-Mar-2021

Application received by 15-Mar-2021

Acceptance notice will be sent by 22-Mar-2021


Applications consist of three items: (1) Applicant Statement of Interest;
(2) Poster Proposal Text; and (3) Advisor Statement of Support. To submit
your application via Linklings, go to the PhD Forum webpage at
http://www.ipdps.org/ipdps2021/2021-phd-forum.html


IPDPS 2021 Workshops - See the call for papers with submissions due in
February

Details at http://www.ipdps.org/ipdps2021/2021-workshops.html


Below is the list of nineteen workshops planned for 2021. All have posted
their call for papers on their website, which may be accessed from the
IPDPS Workshops page. Note that each workshop has its own requirements and
schedule for submissions. Several are still open for submissions. See web
page.

IPDPS WORKSHOPS MONDAY 17 May 2021

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HCW - Heterogeneity in Computing Workshop

RAW - Reconfigurable Architectures Workshop

HiCOMB - High Performance Computational Biology

GrAPL - Graphs, Architectures, Programming, and Learning

EduPar - NSF/TCPP Workshop on Parallel and Distributed Computing Education

HIPS - High-level Parallel Programming Models and Supportive Environments

AsHES - Accelerators and Hybrid Emerging Systems

PDCO - Parallel / Distributed Combinatorics and Optimization

APDCM - Advances in Parallel and Distributed Computational Models

IPDPS WORKSHOPS FRIDAY 21 MAY 2021

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JSSPP - Job Scheduling Strategies for Parallel Processing

PDSEC - Parallel and Distributed Scientific and Engineering Computing

iWAPT - Automatic Performance Tuning

MPP - Parallel Programming Models - Emerging Technologies on Machine
Learning Acceleration

SNACS - Scalable Networks for Advanced Computing Systems Workshop

PAISE - Parallel AI and Systems for the Edge

RADR - Resource Arbitration for Dynamic Runtimes

ScaDL - Scalable Deep Learning over Parallel And Distributed Infrastructures

HPS - High-Performance Storage

ParSocial - Parallel and Distributed Processing for Computational Social
Systems


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GENERAL CO-CHAIRS

David Bader (New Jersey Institute of Technology, USA)

Aparna Chandramowlishwaran (University of California, Irvine, USA)

PROGRAM CHAIR

Karen Karavanic (Portland State University, USA

WORKSHOPS CHAIR AND VICE CHAIR

Erik Saule (University of North Carolina Charlotte, USA)

Jaroslaw (Jaric) Zola (University at Buffalo, USA)

PHD FORUM CO-CHAIRS

Sanjukta Bhowmick (University of North Texas, USA)

Akshaye Dhawan (Bloomberg LP, USA)

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Sponsored by IEEE Computer Society Technical Committee on Parallel
Processing

In cooperation with

ACM SIGARCH & SIGHPC,

IEEE Computer Society Technical Committee on Computer Architecture, and

IEEE Computer Society Technical Committee on Distributed Processing

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