Developer-to-Developer: DPC++ Key Insights

Data parallelism has arguably become the most important form of parallel programming. But according to parallel computing expert James Reinders, language support for it has been tucked away in SIMD directives like OpenMP* or kernels like OpenCL™ or CUDA*.

Result? According to James, exploiting data parallelism is “too much in the weeds” and gets worse when you seek to be portable.

Which is why he’s excited about Data Parallel C++ (DPC++), a new programming language and model that offers developers real advantages, including bringing heterogeneous programming to C++, code reuse from CPUs to GPUs to FPGAs, and cross-platform parallelism performance.

James recently sat down with Tech.Decoded to discuss the developer benefits of DPC++, including:

  • The programming challenges it addresses
  • Its key components and the standards it’s based on
  • How DPC++ compares to other software development inflection points in history
  • A peek behind the curtain at his new DPC++-focused book

Watch. And then …

Download the DPC++ “Mini-Book”
Download the first 4 chapters of James’ new book, Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems Using C++ and SYCL, 118 pages that cover everything you need to get started with DPC++, including an introduction, the key concepts behind data parallel programming, and how to express it using the new programming language and industrial-strength compiler.

More Resources

  • Visit the Intel oneAPI Beta website to learn about this initiative, including downloading the essential Intel® oneAPI Base Toolkit which includes the DPC++ compiler and libraries.
  • Try your code in the Intel® DevCloud—Sign up to develop, test, and run your solution in this free development sandbox with access to the latest Intel® hardware and oneAPI software. No downloads. No configuration steps. No installations.
James Reinders, Engineer and Author

James Reinders is an engineer who likes fast computers and the software tools to make them speedy!

James has spent 30+ years in High Performance Computing (HPC) and Parallel Computing, including 27 years (10,001 days to be precise) at Intel Corporation. His list of industry contributions includes the world’s first TeraFLOP/s supercomputer (ASCI Red), the world’s first TeraFLOP/s microprocessor (Intel® Xeon Phi™), and Threading Building Blocks (TBB). Additionally he coined the phrases “Parallel or Perish” and “Think Parallel. James is an author of eight technical books (including the original book on TBB), numerous papers, articles, blogs, and has co-taught many technical classes/workshops/sessions. James earned a Master’s of Science in Electrical Engineering from the University of Michigan, Go Blue!

Lindsay Michelet, AI Marketing/Messaging Strategist, Intel Corporation

Lindsay Michelet is an AI marketing and messaging strategist with a passion for honest storytelling about the real-world impact of Intel products and solutions. Her background includes 16+ years of integrated B2B marcom strategy and account direction with expertise in building messaging and content platforms, partner marketing programs, and go-to-market campaigns for a variety of industries and initiatives including AI, IoT, and autonomous driving. As part of the AI Marketing team, Lindsay oversees cross-Intel AI messaging strategy and execution. She holds a Bachelor’s of Arts in Marketing from Portland State University in Oregon.

Performance varies by use, configuration, and other factors. Learn more at www.Intel.com/PerformanceIndex.