Declarative Data Collections for Portable Parallel Performance based on oneAPI
Collection Skeletons provide a novel, declarative approach to data collections through properties. They also help shield the app developer from parallel implementation details either by encapsulating implicit parallelism, or through explicit properties that match with parallel algorithmic skeletons. Implicit parallelism is implemented through providing concurrent data structures with member functions based on oneTBB; Explicit parallelism comes from parallel algorithmic skeletons based on SYCL.
Write your 10-line-code parallel program with oneAPI!
Data-centric parallelism programming
Speaker(s)
Zhibo Li - University of Edinburgh/ PhD Student
Zhibo Li is a PhD student of Informatics at the University of Edinburgh. He focuses on the research of Computer Systems. He is working on the Collection Skeletons library towards portable performance across multiple devices including GPU. He is proud to be an Intel Student Ambassador!
