Hi all,
we have extended the submission deadline for WOIV’22 until March 7.
And we have added a 3rd submission type: lightning presentations (2 to 4 pages, published via Zenodo).
Please find the updated CfP below and on the webpage https://woiv.gitlab.io
Cheers,
Tom
-----
# WOIV'22: 6th International Workshop on In Situ Visualization
* Held in conjunction with ISC 2022
* Hamburg, Germany, June 2, 2022
## Scope
Large-scale HPC simulations with their inherent I/O bottleneck have
made in situ visualization an essential approach for data analysis,
although the idea of in situ visualization dates back to the golden
era of coprocessing in the 1990s. In situ coupling of analysis and
visualization to a live simulation circumvents writing raw data to
disk for post-mortem analysis – an approach that is already
inefficient for today’s very large simulation codes. Instead, with in
situ visualization, data abstracts are generated that provide a much
higher level of expressiveness per byte. Therefore, more details can
be computed and stored for later analysis, providing more insight than
traditional methods.
We encourage contributed talks on methods and workflows that have been
used for large-scale parallel visualization, with a particular focus
on the in situ case. Presentations on codes that closely couple
numerical methods and visualization are particularly welcome. Speakers
should detail if and how the application drove abstractions or other
kinds of data reductions and how these interacted with the
expressiveness and flexibility of the visualization for exploratory
analysis. Presentations on codes that closely couple numerical methods
and visualization are particularly welcome. Speakers should detail
frameworks used and data reductions applied. They should also indicate
how these impacted the flexibility of the visualization for
exploratory analysis.
Of particular interest to WOIV and its attendees are recent
developments for in situ libraries and software. Submissions
documenting recent additions to existing in situ software or new in
situ platforms are highly encouraged. WOIV is an excellent place to
connect providers of in situ solutions with potential customers.
For the submissions we are not only looking for success stories, but
are also particularly interested in those experiments that started
with a certain goal or idea in mind, but later got shattered by
reality or insufficient hardware/software.
Areas of interest for WOIV include, but are not limited to:
* Techniques and paradigms for in situ visualization.
* Algorithms relevant to in situ visualization. These could include
algorithms empowered by in situ visualization or algorithms that
overcome limitations of in situ visualization.
* Systems and software implementing in situ visualization. These
include both general purpose and bespoke implementations. This also
includes updates to existing software as well as new software.
* Workflow management.
* Use of in situ visualization for application science or other
examples of using in situ visualization.
* Performance studies of in situ systems. Comparisons between in situ
systems or techniques or comparisons between in situ and
alternatives (such as post hoc) are particularly encouraged.
* The impact of hardware changes on in situ visualization.
* The online visualization of experimental data.
* Reports of in situ visualization failures.
* Emerging issues with in situ visualization.
## Submissions
We accept submissions of short papers (6 to 8 pages), full papers (10
to 12 pages) and lightning presentations (2 to 4 pages) in Springer
single column LNCS style. Please find LaTeX and Word templates at
https://woiv.gitlab.io/woiv22/template.
`Submissions are exclusively handled via EasyChair:
https://woiv.gitlab.io/woiv22/submit. The review process is single or
double blind, we leave it to the discretion of the authors whether
they want to disclose their identity in their submissions.
All submissions will be peer-reviewed by experts in the field, and
will be evaluated according to relevance to the workshop theme,
technical soundness, thoroughness of success/failure comparison, and
impactfulness of method/results. Accepted short and full papers will
appear as post-conference workshop proceedings in the Springer Lecture
Notes in Computer Science (LNCS) series; lightning presentations will
be published via Zenodo. The submitted versions will be made available
to workshop participants during ISC.
## Important Dates
* Submission deadline (extended): March 7, 2022, anywhere on earth
* Notification of acceptance: April 15, 2022
* Final presentation slides due: May 10, 2012, anywhere on earth
(subject to change)
* Workshop: June 2, 2022
* Camera-ready version due: July 1, 2022 (subject to change,
extrapolated from previous years)
## Chairs
* Peter Messmer, NVIDIA
* Tom Vierjahn, Westphalian University of Applied Sciences, Bocholt,
Germany
## Steering Committee
* Steffen Frey, University of Groningen, The Netherlands
* Kenneth Moreland, Oak Ridge National Laboratory, USA
* Thomas Theussl, KAUST, Saudi Arabia
* Guido Reina, University of Stuttgart, Germany
* Tom Vierjahn, Westphalian University of Applied Sciences, Bocholt,
Germany
## Website, Venue, Registration
* Website: https://woiv.gitlab.io
* Submission system: https://woiv.gitlab.io/woiv22/submit
* Template: https://woiv.gitlab.io/woiv22/template
* Venue: https://www.isc-hpc.com (ISC 2022)
* Workshop registration: https://woiv.gitlab.io/woiv22/register
## Contact
E-Mail: woiv(a)googlegroups.com
Dear NEST Users & Developers!
I would like to invite you to our next fortnightly Open NEST Developer
Video Conference, today
Monday February 14, 11.30-12.30 CET (UTC+1).
Feel free to join the meeting also just to bring your own questions for
direct discussion in the in-depth section.
As usual, in the Project team round, a contact person of each team will
give a short statement summarizing ongoing work in the team and
cross-cutting points that need discussion among the teams. The remainder
of the meeting we would go into a more in-depth discussion of topics
that came up on the mailing list or that are suggested by the teams.
Agenda
* Welcome
* Review of NEST User Mailing List
* Project team round
* In-depth discussion
The agenda for this meeting is also available online, see
https://github.com/nest/nest-simulator/wiki/2022-02-14-Open-NEST-Developer-…
Looking forward to seeing you soon!
Cheers,
Dennis Terhorst
------------------
Log-in information
------------------
We use a virtual conference room provided by DFN (Deutsches Forschungsnetz).
You can use the web client to connect. We however encourage everyone to
use a headset for better audio quality or even a proper video
conferencing system (see below) or software when available.
Web client
* Visit https://conf.dfn.de/webapp/conference/97938800
* Enter your name and allow your browser to use camera and microphone
* The conference does not need a PIN to join, just click join and you're in.
In case you see a dfnconf logo and the phrase "Auf den
Meetingveranstalter warten", just be patient, the meeting host needs to
join first (a voice will tell you).
VC system/software
How to log in with a video conferencing system, depends on you VC system
or software.
- Using the H.323 protocol (eg Polycom): vc.dfn.net##97938800 or
194.95.240.2##97938800
- Using the SIP protocol:97938800@vc.dfn.de
- By telephone: +49-30-200-97938800
For those who do not have a video conference system or suitable
software, Polycom provides a pretty good free app for iOS and Android,
so you can join from your tablet (Polycom RealPresence Mobile, available
from AppStore/PlayStore). Note that firewalls may interfere with
videoconferencing in various and sometimes confusing ways.
For more technical information on logging in from various VC systems,
please see http://vcc.zih.tu-dresden.de/index.php?linkid=1.1.3.4
Dear all,
NEST is a powerful tool to simulate biologically derived spiking Neural
Networks. Besides the ever improving model details, learning paradigms
and computational complexity, there are two complementary components
necessary in order to simulate a (full) biologically plausible mammalian
brain: Running simulations at large scale and embodying the brain
simulation in a (virtual) body.
In frame of the Fenix Infrastructure Webinar series I am going to
present "Embodied large scale spiking neural networks in the
Neurorobotics Platform" with a focus on the deployment on High
Performance Computing Infrastructure next week Thursday. The
presentation showcases the joint work of developers from NEST and the
Neurorobotics Platform, the CSCS Swiss National Supercomputing centre
and researchers in the RoboBrain project.
Check out the details and registration at:
https://fenix-ri.eu/events/14th-fenix-infrastructure-webinar-ebrains-servic…
Looking forward to see you there,
Benedikt
--
Benedikt Feldotto M.Sc.
Research Assistant
Human Brain Project - Neurorobotics
Technical University of Munich
Department of Informatics
Chair of Robotics, Artificial Intelligence and Real-Time Systems
Room HB 2.02.20
Parkring 13
D-85748 Garching b. München
Tel.: +49 89 289 17628
Mail: feldotto(a)in.tum.de
https://www6.in.tum.de/en/people/benedikt-feldotto-msc/www.neurorobotics.net
Dear NEST community,
When trying to pass a `synapse_label` parameter in the syn_spec
dictionary, in conjunction with the `one_to_one` rule and node ids
passed as arrays, I get the following error with NEST 3.0:
File
"/home/zbarni/code/projects/lif_sorn_seqlearn/lif-sorn-nest-implementation/remote/test_nestml_multith.py",
line 29, in <module>
nest.Connect([1], [2], conn_spec={'rule': 'one_to_one'},
syn_spec={'synapse_model': 'static_synapse_lbl', 'synapse_label': 1})
File
"/home/zbarni/software/installed/miniconda3/envs/del-lif-sorn-nestml-check_py390/lib/python3.9/site-packages/nest/ll_api.py",
line 228, in stack_checker_func
return f(*args, **kwargs)
File
"/home/zbarni/software/installed/miniconda3/envs/del-lif-sorn-nestml-check_py390/lib/python3.9/site-packages/nest/lib/hl_api_connections.py",
line 255, in Connect
connect_arrays(pre, post, weights, delays, synapse_model,
syn_param_keys, syn_param_values)
File "pynestkernel.pyx", line 360, in
pynestkernel.NESTEngine.connect_arrays
nest.lib.hl_api_exceptions.TypeMismatch: TypeMismatch in SLI function
connect_arrays
It works when using the `all_to_all` rule. Is this the expected behavior
or for some reason it's not possible to use synapse_label and the
one_to_one rule (yet)?
Thank you,
Barna