[hpc-announce] (Deadline Extended) Call for Papers, PDSEC-23 Workshop, May 2023

[Shontz, Suzanne Michelle]

Dear All:

The 24th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-23) (http://www.ieee-tcsc.org/2023/pdsec/), which will be held on May 19, 2023 in St. Petersburg, Florida in conjunction with IPDPS 2023.   

We have extended the deadline for paper submission.

Deadline:
  PDSEC-23 deadline: 29 Jan 2023 (AoE) (extended)

Scope and Interests:
The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. 
 
Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. In particular, we will focus on the following topics in parallel and distributed scientific and engineering applications, and not limited to: 

•     Big scientific data 
•     Performance modeling and simulation for the execution of scalable scientific applications on new heterogeneous architectures
•     Graph analytics with their (scientific) applications
•     Code modernization methodologies and experiences for adapting the changes in future computing systems
•     Languages for scientific computing on hybrid systems (e.g. Python, MPI+X where X is OpenMP, OpenCL, CUDA etc.)
•     Tools and techniques for improving the performance, reliability and resilience of scientific applications
•     Use cases of enterprise distributed computing technology (such as MapReduce, Data Analytics and Machine-learning tools) in scientific and engineering applications
•     Scalable parallel and distributed algorithms supporting science and engineering applications
•     Performance portability across heterogeneous architecture

Important Dates:
  Paper submission due . . . . . . . . . . . . . .  January 29, 2023 (extended)
  Notification of Acceptance . . . . . . . . . . . February 23, 2023
  Final camera-ready paper . . . . . . . . . . . . February 28, 2023
  Workshop . . . . . . . . . . . . . . . . . . . . May 19, 2023

General Chairs 
  Sabine Roller, German Aerospace Center (DLR), Germany
  Peter Strazdins, The Australian National University, Australia
Program Chairs 
  Raphael Couturier, University of Bourgogne Franche-Comte, France 
  Neda Ebrahimi Pour, German Aerospace Center (DLR), Germany
Publicity Chair
  Suzanne Shontz, University of Kansas, USA
Steering Committee 
  Laurence T. Yang (Chair), St. Francis Xavier University, Canada
  Thomas Rauber, University of Bayreuth, Germany
  Gudula Runger, Chemnitz University of Technology, Germany 
Web Chair 
  Jiawei Wang, St. Francis Xavier University, Canada
   
Sincerely,
Suzanne
Dr. Suzanne Shontz 
Associate Dean for Research, School of Engineering 
Professor, Department of Electrical Engineering and Computer Science 
University of Kansas 
Lawrence, KS  66047  USA