The parallel programming landscape has changed significantly over the last decade, and more since Threading Building Blocks (TBB) was introduced. It’s complicated now with the advent of tens or even hundreds of multicore processors to tap, accelerators, non-uniform memory access (NUMA), more complex applications, multiple levels of parallelism, specialized libraries, and more.
In this video, Mike Voss, development expert for Intel® Threading Building Blocks and coauthor of the new book: Pro TBB, discusses the future of TBB. Topics include hardware and accelerators, in-demand applications such as machine learning and implementations with PyTorch*, more features in the C++ standard, and high level abstractions.
Get the value-added book: Pro TBB.
This open-access book is a modern guide for all C++ programmers to learn TBB and leverage the power of parallel systems. Pro TBB starts with explaining parallel algorithms and the C++ standard template library for parallelism. You’ll learn key concepts of managing memory, working with data structures and how to handle typical issues with synchronization. Later chapters apply these ideas to complex systems to explain performance tradeoffs, mapping common parallel patterns, controlling threads and overhead, and extending TBB to program heterogeneous systems or system-on-chips.
- Intel® oneAPI Threading Building Blocks (oneTBB)
- oneTBB on GitHub*
- Intel oneAPI Base & IoT Toolkit
- Book: Multithreading for Visual Effects
Principal engineer; Architecture, Graphics, and Software Group; Intel Corporation
Michael Voss has been a member of the TBB development team since before the v1.0 release in 2006 and was the initial architect of the TBB flow graph API. He is also one of the lead developers of Flow Graph Analyzer, a graphical tool for analyzing data flow applications targeted at both homogeneous and heterogeneous platforms. He has coauthored more than 40 published papers and articles on parallel programming topics and consults with customers across a wide range of domains to help them effectively use Intel’s threading libraries. Before joining Intel in 2006, Mike was an assistant professor in the Edward S. Rogers Department of Electrical and Computer Engineering at the University of Toronto. He received his PhD from the School of Electrical and Computer Engineering at Purdue University in 2001.
AI marketing and messaging strategist, Intel Corporation
Lindsay Michelet has with a passion for honest storytelling about the real-world impact of Intel® products and solutions. Her background includes more than 16 years of integrated business-to-business (B2B) marketing communications strategy and account direction with expertise in building messaging and content platforms, partner marketing programs, and go-to-market campaigns for various industries and initiatives including AI, IoT, and autonomous driving. As part of the AI Marketing team, Lindsay oversees AI messaging strategy and implementation across Intel. She holds a bachelor of arts in marketing from Portland State University in Oregon.