What's New in the 2019 Edition
- Parallel Standard Template Library (Parallel STL) C++17 generic parallel algorithms implementation.
- Expanded support for Android*, macOS*, Windows*, and Linux*.
- Python* language support for conda* distribution.
- New capabilities in Flow Graph and Intel® Vtune™ Amplifier improve concurrency and heterogeneity, including reduced task scheduling overhead, default OpenCL™ platform customization, and a user event-tracing API.
|opencl_node class||Use with any graph object. Includes all devices from the first available OpenCL™ platform.|
|blocked_rangeNd class||Optimize generic C++11 multidimensional arrays.|
|lightweight policy||Reduced task scheduling overhead in Flow Graph.|
|Latest and future Intel® architecture support||Future-proofs the next generation.|
Scalability with Future-Proofing
Intel® Threading Building Blocks (Intel® TBB) makes parallel performance and scalability accessible to software developers who are writing loop- and task-based applications. Build robust applications that abstract platform details and threading mechanisms while achieving performance that scales with increasing core count. Yield linear scaling in these example applications.