[hpc-announce] Charm++ Workshop 2021 Oct 18-19 (Virtual)

[Choi, Jaemin]

Call for Participation at the

19th Annual Workshop on Charm++ and its Applications
October 18-19, 2021
University of Illinois at Urbana-Champaign (Virtual)
https://charm.cs.illinois.edu/workshops/charmWorkshop2021
Hosted by the Parallel Programming Laboratory

There will be several talks from Charm++ collaborators, external speakers, and members of the Parallel Programming Laboratory. Talks will cover various topics including load balancing, performance visualization, interoperability, fault tolerance, recent runtime research, and progress in Charm++ applications.

The keynotes for this year's workshop include:


Challenges of Programming models for The Supercomputer "Fugaku" and Beyond
Mitsuhisa Sato,	RIKEN R-CCS
Scheduled for 9:10 AM - 10:10 AM CDT on Oct 18 (Mon)

A Tale of Two Cultures: Challenges in Developing Tools for Writing Parallel Software
Alex Aiken, Stanford University
Scheduled for 11:00 AM - 12:00 PM CDT on Oct 19 (Tue)


This year's workshop will be fully online via Zoom. Please register via the following link to receive an invite to the Zoom session.

Registration: https://charm.cs.illinois.edu/workshops/charmWorkshop2021
Registration is free this year, but please register to help us coordinate.

We invite you to join us. Please forward this invitation to any colleagues who may be interested.

Charm++ is a C++ based parallel programming system based on an introspective adaptive runtime system, with many features suitable for addressing upcoming extreme scale as well as mid-scale challenges, and with multiple highly scalable parallel applications such as NAMD. Charm++ is developed by the Parallel Programming Laboratory (PPL) at the University of Illinois at Urbana-Champaign. The goal of PPL is to develop technology that improves the performance of parallel applications while also improving programmer productivity. The workshop is broadly focused on adaptivity in highly scalable parallel computing. It also takes stock of recent results in adaptive runtime techniques in Charm++ and the collaborative interdisciplinary research projects developed using it.