[hpc-announce] AMTE 22 - Call for papers

[Patrick Diehl]

Dear colleagues,

We would like to invite you to submit unpublished work to the 
Asynchronous Many-Task System for Exascale workshop held in conjunction 
with Euro Par 22 in Glasgow, Scotland, UK, 22 – 26 August 2022.

Important dates:

Submission deadline: May 6, 2022
Acceptance Notification: July 1, 2022

For more details, we refer to https://amte2022.stellar-group.org/

Background

Supercomputers are now beginning to break the exascale barrier, and 
tremendous amounts of work have been invested in identifying and 
overcoming the challenges leading up to this moment. These challenges 
include load-balancing, fast data transfers, and efficient resource 
utilization. Task-based models and runtime systems have shown that it is 
possible to address these challenges by providing additional mechanisms 
such as oversubscription, task/data locality, shared memory, and data 
dependence-driven execution. This workshop explores the advantages of 
task-based programming on modern and future HPC systems. It will gather 
developers, users, and proponents of these models and systems to share 
experience, discuss how they meet the challenges posed by Exascale 
system architectures, and explore opportunities for increased 
performance, robustness, and full-system utilization.

Topics

The workshop will focus on the following areas:

Novel task-based runtime environments

Experiences using task-based runtime environments for large applications

Experiences comparing task-based runtime environments

Experiences gathered from porting one large-scale parallel solution to 
another, e.g., MPI to Charm++, etc.

Profiling and performance monitoring of task-based environments
Benchmarks for task-based runtimes

Tools for debugging programs using task-based runtimes

Challenges of task-based runtimes in scaling to large clusters

Hardware challenges and solutions in using task-based environments

Best regards,

Patrick Diehl
Steve Brandt
Zhara Khatami
Parsa Amini

-- 
Patrick Diehl
Center for Computation and Technology
Louisiana State University
Digital Media Center
340 E Parker Blvd, Baton Rouge, LA 70803, USA