[hpc-announce] CALL FOR PAPERS,13th Workshop on Scalable Computing (WSC’23; IEEE: #57573) -- Web of Science -- deadline: May 23, 2023

[Marcin Paprzycki]

CALL FOR PAPERS

13th Workshop on Scalable Computing (WSC’23)

Warsaw, Poland, 17–20 September, 2023
https://fedcsis.org/sessions/css/wsc

Organized within FedCSIS 2023 (IEEE: #57573)
Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing: 
DBLP, Scopus and Web of Science; 70 punktów parametrycznych MEiN

Please feel free to forward this announcement to your colleagues and 
associates who could be interested in it.

********************* Statement concerning LLMs *********************

Recognizing developing issue that affects all academic disciplines, we 
would like to state that, in principle, papers that include text 
generated from a large-scale language model (LLM) are prohibited, unless 
the produced text is used within the experimental part of the work.

*********************************************************************

The world of large-scale computing continuously evolves. The most recent 
addition to the mix comes from numerous data streams that materialize 
from exploding number of cheap sensors installed “everywhere”, on the 
one hand, and ability to capture and study events with systematically 
increasing granularity, on the other. To address the needs for scaling 
computational and storage infrastructures, concepts like: edge, fog and 
dew computing emerged.

Novel issues in involved in “pushing computing away from the center” did 
not replace open questions that existed in the context of grid and cloud 
computing. Rather, they added new dimensions of complexity and resulted 
in the need of addressing scalability across more and more complex 
ecosystems consisting of individual sensors and micro-computers (e.g. 
Raspberry PI based systems) as well as supercomputers available within 
the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud).

Addressing research questions that arise in individual “parts” as well 
as across the ecosystem viewed from a holistic perspective, with 
scalability as the main focus is the goal of the Workshop on Scalable 
Computing. In this context, the following topics are of special interest 
(however, this list is not exhaustive).
Topics

Covered topics include (but are not limited to):

+    Algorithms, programming and data models for large-scale 
applications, simulations and systems
+    Architectures for large-scale computations (Accelerators – GPUs, 
Vector, FPGAs, quantum systems, federated systems, etc.)
+    HPC in Cloud
+    Large-scale computing with serverless and microservices
+    Large-scale symbolic, numeric, data-intensive, graph-oriented, 
distributed computations
+    Resilient, fault-tolerant and consensus techniques for large-scale 
computing
+    Large-scale distributed databases and repositories
+    Load-balancing/intelligent resource management in large-scale 
applications, simulations and systems
+    Performance analysis, evaluation, and optimisation for large-scale 
applications and systems
+    Scientific workflow scheduling
+    Data visualisation and virtualisation supporting large-scale 
computations
+    On-demand computing
+    Scaling applications from small-scale to exascale (and back) in 
edge-cloud continuum
+    Big data real-time computing/analytics and Big Data cloud services
+    Large-scale batch processing
+    Economic, business, ROI models, and energy efficient computation 
for large-scale applications in data centers
+    Disruptive uses of HPC technologies in AI/ML/DL
+    Integration of predictive models to improve the performance of 
scientific applications in terms of execution time and/or simulation 
accuracy
+    Workflow of applying AI/ML/DL to scientific applications in HPC 
infrastructures
+    HPC with AI/ML/DL and AI/ML/DL for HPC
+    HPC tools and infrastructure to improve the usability of AI/ML/DL 
to scientific applications
+    Optimised HPC systems design and setup for efficient AI/ML/DL



Submission rules:

-    Authors should submit their papers as Postscript, PDF or MSWord files.
-    The total length of a paper should not exceed 10 pages IEEE style 
(including tables, figures and references). IEEE style templates are 
available here.
-    Papers will be refereed and accepted on the basis of their 
scientific merit and relevance to the workshop.
-    Preprints containing accepted papers will be published on a USB 
memory stick provided to the FedCSIS participants.
-    Only papers presented at the conference will be published in 
Conference Proceedings and submitted for inclusion in the IEEE Xplore® 
database.
-    Conference proceedings will be published in a volume with ISBN, 
ISSN and DOI numbers and posted at the conference WWW site.
-    Conference proceedings will be submitted for indexation according 
to information here.
-    Organizers reserve right to move accepted papers between FedCSIS 
technical sessions.



Extended versions of selected papers presented during the conference 
will be published as Special Issue(s) of:

--   Scalable Computing; Practice and Experience journal
--   Journal of Network and Computer Applications (Elsevier, IF = 2.229)
--   Other journal(s) to be announced later


Importand dates:

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there 
will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023
+ Conference date: September 17-20, 2023

WSC Committee: https://fedcsis.org/sessions/css/wsc/committee