We are professionals and hobbyists working in Berlin who are interested in C++, the language, its uses and the things people build with it.
We are open for everybody who knows C++ or is interested in learning it or really anybody who wants to hear about the advantages (and fun!) of native programming.
Some of us are involved in the C++ standardization process, some have contributed to the boost libraries. Some of us work in medical imaging and applications, in scientific computing, some develop innovative and intuitive desktop applications, some are specialists in cross-platform development.
We meet about once a month. Anybody is invited to give a talk about a subject that has something to do with C++. Did you build something with C++ and want to share? Have you checked out the latest proposals from the standardization committee? Do you need help with a project of yours?

Donnerstag, 6. März 2014

March Meeting

at our March meeting (18.3. in the C-Base) we will have Peter Gottschling from Dresden with a talk about productive scientific computing in general and the matrix template library (MTL)  in detail, see below. Peter is the head of the german delegation in the  C++ standard commitee and he is very well known for his contributions to the scientific programming community. As always, we meet at 7, the talk starts at 8.


The Matrix Template Library v4 (MTL4) has been proven to provide high
performance on different platforms while -- maybe even more
importantly -- allowing for high productivity in the development
process. The intuitive notation provides an easy entry level and quick
programming progress while scientists do not need to waste their time
with deep technical details. We will demonstrate how applications
can be written as easily as in Matlab. Multi-threading acceleration
can be enabled by compiler flags. The CUDA version of MTL4 is designed with
the goal to enable the same productivity on GPGPUs while allowing for
maximal performance. MTL4 has the same interface on GPUs as on
CPUs so that all applications can use CUDA without
program modifications. The talk shall give an overview of intuitive
MTL4 programming and an easy way for cross-platform portability.