1Michael Wong Distinguished Engineer ● Chair of SYCL Heterogeneous Programming Language ● ISO C++ Directions Group past Chair ● Past CEO OpenMP ● ISOCPP.org Director, VP http://isocpp.org/wiki/ leading team developing HIP & CUDA backends for DPC++ Background in C++ programming models for heterogeneous systems Worked on ComputeCpp (SYCL) since its inception Contributor to the Khronos SYCL standard AI/Tensor HW Other BackendsSYCL 2020 is here! Open Standard for Single Source C++ Parallel Heterogeneous Programming SYCL 2020 is released after 3 years of intense work Significant adoption in Embedded

FPGAs AMD GPUs Any CPU SYCL enables Khronos to influence ISO C++ to (eventually) support heterogeneous compute SYCL, OpenCL and SPIR-V, as open industry standards, enable flexible integration and more) Any CPU Experimental SYCL enables Khronos to influence ISO C++ to (eventually) support heterogeneous compute SYCL, OpenCL and SPIR-V, as open industry standards, enable flexible integration and MobileyeSYCL IR ON COMPILER EXPLORERhttps://godbolt.org/z/jdhKr7e5rExpressiveness and simplicity for heterogeneous programming in modern C++ New Features Unified Shared Memory | Parallel Reductions | Subgroup

on<>  std::spanstream  std::byteswap()  std::to_underlying()  Associative Containers Heterogeneous Erasure  Removed Features  Garbage Collection SupportC++23 Core Language6 Agenda  C++23 on<>  std::spanstream  std::byteswap()  std::to_underlying()  Associative Containers Heterogeneous Erasure  Removed Features  Garbage Collection Support7 Explicit Object Parameters  Instead on<>  std::spanstream  std::byteswap()  std::to_underlying()  Associative Containers Heterogeneous Erasure  Removed Features  Garbage Collection Support13 if consteval  Syntax: if consteval

elastic scaling, encryption features & more. The project is committed to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform Apache ShardingSphere, aims at building the standard and ecosystem on the upper layer of the heterogeneous database. It focuses on how to make full and reasonable use of the computing and storage capabilities database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. 1 Apache ShardingSphere document 1.2 Product Features F ea tu re Definition

features can be flexibly expanded at will. The project is committed to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform Apache ShardingSphere, aims at building the standard and ecosystem on the upper layer of the heterogeneous database. It focuses on how to make full and reasonable use of the computing and storage capabilities database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. 1.1.2 Product Features Fea- ture Definition Data Shard‐ ing Data sharding is

and numerics. Contribution into SYCL Michael Wong Distinguished Engineer ● Chair of SYCL Heterogeneous Programming Language ● ISO C++ Directions Group past Chair ● Past CEO OpenMP ● ISOCPP.org Director deal with Parallel code Even fewer deal with Concurrent, event driven code None deal with Heterogeneous dispatch code There is always going to be: • Dirty data, faulty HW, integrity problems • NEED NEED Freedom from interference, which is much harder in multithread system • Heterogeneous-> AI/ML safety Stage 1: extensive deep analysis of 81 rules • Started in 2019 at a MISRA meeting • Why are

elastic scaling, encryption features & more. The project is committed to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform Apache ShardingSphere, aims at building the standard and ecosystem on the upper layer of the heterogeneous database. It focuses on how to make full and reasonable use of the computing and storage capabilities database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. 1 Apache ShardingSphere document 1.2 Product Features F ea tu re Definition

elastic scaling, encryption features & more. The project is committed to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform Apache ShardingSphere, aims at building the standard and ecosystem on the upper layer of the heterogeneous database. It focuses on how to make full and reasonable use of the computing and storage capabilities database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. 1 Apache ShardingSphere document, v5.2.1 1.1.2 Product Features Fea- ture Definition

boost::units::dimensionless_type>, boost::units::heterogeneous_systemheterogeneous_system_implheterogeneous_system_dim, boost::units::heterogeneous_system< boost::units::heterogeneous_system_implheterogeneous_system_dim< boost::units::scaled_base_unit

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the normal way to design and architect systemsThe “normal way” • Classes/structs of members of heterogeneous types: won’t ever map efficiently to the computing resources • The use of pointers for objects BeginsColumnar Representation (Scattering) • Transforming collections of structs of members of heterogeneous types into one structure with arrays of homogeneous data types (going from what in databases id; double price; Specials *specials; Category *category; bool is_homemade; }; Heterogeneous (different) data types Pointer. Can it be null? Optional? Necessary but performance-hostile