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Meeting C++ online

Meeting C++ online is a series of virtual events organized by Meeting C++ for the C++ community. It aims at establishing a new online community that meets face to face online by providing a set of online events. Read up on further details and thoughts on this in this news entry.

As online platform Remo will be used for hosting virtual events. Remo demo for Meeting C++ online and remo 101.

All events of Meeting C++ online are hosted under the Berlin Code of Conduct

Meeting C++ online jobfair on 16. March 2021

Reserve a table for the event

Da Vinci Derivatives logo
Luxoft logo
Flow Traders logo
ALLPLAN GmbH logo
Systematic Trading Technology logo
IVU Traffic Technologies AG logo
Amarula Solutions logo

You can share your CV through the Meeting C++ upload form with the above employers

Next Meeting C++ online user group

Meeting C++ online - C++ in Production

Date: 02. February 2021

You should register for this event at meetup!

Want to be present as a Sponsor or have your employer support this?

Support Meeting C++ online by sponsoring your own table or booth!

The first meeting in February is an unconference style event hosting an exchange and debate on C++ in Production on wonder.me.

This time we'll be also testing wonder.me for the meeting, you likely need a webcam and mic to participate.

Last event

Meeting C++ online with Bryce Adelstein Lelbach

Date: 14. January 2021

We have the honor to listen to Bryce Adelstein Lelbach speaking about: The CUDA C++ Standard Library

Abstract: CUDA C++ is an extension of the ISO C++ language which
allows you to use familiar C++ tools to write parallel programmings
that run on GPUs. However, one essential C++ tool has been missing
from device-side CUDA C++; the C++ standard library. But not any
longer! Introduced in the CUDA 10.2 toolkit, libcu++ is an opt-in
heterogeneous CUDA C++ standard library - you can get the latest
version today on GitHub: https://github.com/NVIDIA/libcudacxx. One of
the marquee features is C++ atomics for CUDA - a more correct,
efficient, and powerful replacement for the legacy CUDA `atomic*`
functions. In this example-oriented talk we'll explain how and when

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