What we’re about
Welcome to NYC++! We're a group based in Manhattan with deep roots in the New York C++ community. Join us for monthly meetups hosted by various companies, featuring talks by invited speakers, refreshments, and chances to chat and network.
Our meetup is open to anybody with an interest in writing C++, with a skew towards those doing so professionally: Beginners and languages lawyers alike are welcome.
We are committed to creating and maintaining a safe and inclusive environment for everybody who attends. For those who cannot or do not wish to attend in-person, we'll strive to provide virtual attendance options whenever possible.
In-person attendance of meetups is open only to those who have RSVP'd. In-person attendance of some meetups may require proof of identification, proof of COVID-19 vaccination, etc., according to the guidelines of the company hosting. Be sure to check individual events for details.
Upcoming events (1)
See all- NYC++: Jul 17 2025 at Hudson River Trading ft., Bryce LelbachHRT - 3 World Trade Center, New york, NY
Come to our July 17 2025 meetup at Hudson River Trading, with food provided by our host.
Please fill out this form before RSVPing. Registrants who have not filled out the form will not be able to attend and will removed from the RSVP list in the days leading up to the event.
Featured Speaker: Bryce Lelbach
Talk Title: The CUDA C++ Developer's Toolbox
Description
Getting the most out of your GPU with C++ doesn't require writing custom kernels or manually managing storage for everything! Come learn about the libraries and techniques that make writing CUDA C++ code easier and more performant. Through examples, we'll explore all aspects of writing modern C++ software for GPUs, including heterogeneous memory management, algorithm design, and synchronization.During this talk, you'll:
- Learn to evaluate when you should use a CUDA library versus writing your own kernel.
- Explore popular CUDA C++ libraries such as Thrust, CUB, and libcu++.
- Understand how you can easily compose different CUDA libraries and your own custom CUDA C++ code together.
- Build intuition about the performance implications of CUDA libraries.
- You'll leave confident about how to select the best tool for the job to accelerate your C++ applications for your unique use cases.
Speaker Bio
Bryce Adelstein Lelbach has spent over a decade developing programming languages, compilers, and software libraries. He is passionate about parallel programming and strives to make it more accessible for everyone.Bryce is a Principal Architect at NVIDIA, where he leads programming language efforts and drives the technical roadmap for NVIDIA's compute compilers and libraries.
He is one of the leaders of the systems programming language community, having served as chair of the Standard C++ Library Evolution group and the US standards committee for programming languages (INCITS/PL22). He has been an organizer and program chair for many conferences over the years.
On the C++ Committee, he has personally worked on concurrency primitives, parallel algorithms, executors, and multidimensional arrays. He is one of the founding developers of the HPX parallel runtime system. He previously worked at Lawrence Berkeley National Laboratory and Louisiana State University.
Outside of work, Bryce is passionate about airplanes and watches. He lives in Midtown Manhattan with his girlfriend and dog.
