About

Location: Aurora, Colorado, U.S.A Dates: 15th September 2019 - 20th September 2019 Website: cppcon.org

CppCon is the annual, week-long face-to-face gathering for the entire C++ community. The conference is organized by the C++ community for the community. You will enjoy inspirational talks and a friendly atmosphere designed to help attendees learn from each other, meet interesting people, and generally have a stimulating experience. Taking place this year in Aurora, Colorado, near the Denver airport, and including multiple diverse tracks, the conference will appeal to anyone from C++ novices to experts.

SYCL Sessions At CppCon 2018

Writing Safety Critical Automotive C++ Software for High Performance AI Hardware

Gordon Brown and Michael Wong (Codeplay Software)

It is about time we talk about what it takes to create safe software, especially for automotive. This talk is about the practical engineering challenges of turning deep learning, classical machine vision and sensor fusion algorithms from research prototypes into real-world automotive-grade systems. These solutions include the use of SYCL.

Efficient GPU Programming with Modern C++

Gordon Brown and Michael Wong (Codeplay Software)

This session will present the GPU architecture and the GPU programming model; covering the execution and memory model. It will describe parallel programming patterns and common parallel algorithms and how they map to the GPU programming model. Finally, through this lens, it will look at how to construct the control-flow of your programs and how to structure and move your data to achieve efficient utilisation of GPU architectures. This talk will use SYCL as a programming model for demonstrating the concepts being presented, however, the concepts can be applied to any other heterogeneous programming model such as OpenCL or CUDA.

Parallel Programming with Modern C++: From CPU to GPU

Gordon Brown and Michael Wong (Codeplay Software)

Parallel Programming with Modern C++: from CPU to GPU” is a two-day training course with programming exercises taught by Gordon Brown and Michael Wong. It is offered at the Meydenbauer Conference Center from 9AM to 5PM on Saturday and Sunday, September 29th and 30th

Parallel programming can be used to take advance of multi-core and heterogeneous architectures and can significantly increase the performance of software. It has gained a reputation for being difficult, but is it really? Modern C++ has gone a long way to making parallel programming easier and more accessible; providing both high-level and low-level abstractions. C++11 introduced the C++ memory model and standard threading library which includes threads, futures, promises, mutexes, atomics and more. C++17 takes this further by providing high level parallel algorithms; parallel implementations of many standard algorithms; and much more is expected in C++20. The introduction of the parallel algorithms also opens C++ to supporting non-CPU architectures, such as GPU, FPGAs, APUs and other accelerators.

This course will teach you the fundamentals of parallelism; how to recognise when to use parallelism, how to make the best choices and common parallel patterns such as reduce, map and scan which can be used over and again. It will teach you how to make use of the C++ standard threading library, but it will take this further by teaching you how to extend parallelism to heterogeneous devices, using the SYCL programming model to implement these patterns on a GPU using standard C++.