What: IEEE American Control Conference (ACC) 2023
When: Tuesday May 30, 2023
Where: San Diego (CA), USA
Link: https://sites.google.com/umich.edu/safeperceptionbasedcontrol/home

The workshop is soliciting contributions of extended abstracts.

==== Submission Details ====
Paper format: ACC template
(http://css.paperplaza.net/conferences/support/support.php)
Length: max 2 pages excluding references and appendices
Submission deadline: May 5th 2023, anywhere on earth
Notification of acceptance: May 10th 2023
Submission through Microsoft CMT:
https://cmt3.research.microsoft.com/WSPPC2023

We welcome contributions of extended abstracts showing recent work in the area
of safe and robust perception, control, and their integration.
Submissions will go through a single-blind review process, and accepted
submissions will be presented in a poster session.
The accepted extended abstracts will be made available on the workshop’s
website
(https://sites.google.com/umich.edu/safeperceptionbasedcontrol/call-for-papers).
For a complete list of relevant topics, see the workshop website.

==== Invited Speakers ====
– Nikolay Atanasov, UC San Diego, USA
– Osbert Bastani, University of Pennsylvania, USA
– Preston Culbertson, California Institute of Technology, USA
– Sarah Dean, Cornell University, USA
– Chuchu Fan, Massachusetts Institute of Technology, USA
– Boris Ivanovic, NVIDIA Research, USA
– Balaji Lakshminarayanan, Google Brain, USA

Best Regards,
==== Organizers ====

Glen Chou (primary contact: gchou [at] mit [dot] edu), Massachusetts Institute
of Technology, USA
Sushant Veer, NVIDIA, USA
Heng Yang, NVIDIA/Harvard University, USA
Ryan Cosner, California Institute of Technology, USA
Marco Pavone, Stanford University/NVIDIA, USA

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: