oneDPL 2022.4.0 release

New Features

• Added experimental radix_sort and radix_sort_by_key algorithms residing in
  the oneapi::dpl::experimental::kt::esimd namespace. These algorithms are first
  in the family of kernel templates that allow configuring a variety of parameters
  including the number of elements to process by a work item, and the size of a workgroup.
  The algorithms only work with Intel® Data Center GPU Max Series.
• Added new transform_if algorithm for applying a transform function conditionally
  based on a predicate, with overloads provided for one and two input sequences
  that use correspondingly unary and binary operations and predicates.
• Optimizations used with Intel® oneAPI DPC++/C++ Compiler are expanded to the open source oneAPI DPC++ compiler.

New Known Issues and Limitations

• esimd::radix_sort and esimd::radix_sort_by_key kernel templates fail to compile when a program
  is built with -g, -O0, -O1 compiler options.
• esimd::radix_sort_by_key kernel template produces wrong results with the following combinations
  of kernel_param and types of keys and values:
  • sizeof(key_type) + sizeof(val_type) == 12, kernel_param::workgroup_size == 64, and kernel_param::data_per_workitem == 96
  • sizeof(key_type) + sizeof(val_type) == 16, kernel_param::workgroup_size == 64, and kernel_param::data_per_workitem == 64