Partner Event: Collection Skeletons: Declarative Abstractions for Data Collections About the event Join Huawei for this Coffee House Tech talk, taking place on 21st of February. Modern programming languages provide programmers with rich abstractions for data collections as part of their standard libraries, e.g. Containers in the C++ STL, the Java Collections Framework, or the Scala Collections API. Typically, these collections frameworks are organised as hierarchies that provide programmers with common abstract data types (ADTs) like lists, queues, and stacks. While convenient, this approach introduces problems which ultimately affect application performance due to users over-specifying collection data types limiting implementation flexibility. In this talk, we present Collection Skeletons which provide a novel, declarative approach to data collections. Using our framework, programmers explicitly select properties for their collections, thereby truly decoupling specification from implementation. By making collection properties explicit immediate benefits materialise in form of reduced risk of over-specification and increased implementation flexibility. We have prototyped our declarative abstractions for collections as a C++ library, and demonstrate that benchmark applications rewritten to use Collection Skeletons incur little or no overhead. In fact, for several benchmarks, we observe performance speedups (on average between 2.57 to 2.93, and up to 16.37) and also enhanced performance portability across three different hardware platforms. Feb 21 2023 11.00 - 12.00 Partner Event: Collection Skeletons: Declarative Abstractions for Data Collections Join Huawei for this Coffee House Tech talk, taking place on 21st of February. Where (Physically) : Coffee House, 4/F, Bayes Centre, 47 Potterrow, Edinburgh EH8 9BT, UK Where (Virtually): Join online here Registration
Partner Event: Collection Skeletons: Declarative Abstractions for Data Collections About the event Join Huawei for this Coffee House Tech talk, taking place on 21st of February. Modern programming languages provide programmers with rich abstractions for data collections as part of their standard libraries, e.g. Containers in the C++ STL, the Java Collections Framework, or the Scala Collections API. Typically, these collections frameworks are organised as hierarchies that provide programmers with common abstract data types (ADTs) like lists, queues, and stacks. While convenient, this approach introduces problems which ultimately affect application performance due to users over-specifying collection data types limiting implementation flexibility. In this talk, we present Collection Skeletons which provide a novel, declarative approach to data collections. Using our framework, programmers explicitly select properties for their collections, thereby truly decoupling specification from implementation. By making collection properties explicit immediate benefits materialise in form of reduced risk of over-specification and increased implementation flexibility. We have prototyped our declarative abstractions for collections as a C++ library, and demonstrate that benchmark applications rewritten to use Collection Skeletons incur little or no overhead. In fact, for several benchmarks, we observe performance speedups (on average between 2.57 to 2.93, and up to 16.37) and also enhanced performance portability across three different hardware platforms. Feb 21 2023 11.00 - 12.00 Partner Event: Collection Skeletons: Declarative Abstractions for Data Collections Join Huawei for this Coffee House Tech talk, taking place on 21st of February. Where (Physically) : Coffee House, 4/F, Bayes Centre, 47 Potterrow, Edinburgh EH8 9BT, UK Where (Virtually): Join online here Registration
Feb 21 2023 11.00 - 12.00 Partner Event: Collection Skeletons: Declarative Abstractions for Data Collections Join Huawei for this Coffee House Tech talk, taking place on 21st of February.
