phaniarnab commented on PR #112:
URL: https://github.com/apache/systemds-website/pull/112#issuecomment-1172666432

   Thanks, @j143 for consolidating the changes. It's a good start.
   I quickly reformated the list into a more concise format. Feel free to 
rephrase the points for grammatical and other errors. Also if you find 
something major is missing, go ahead and add it in a concise manner. Sorry for 
the delay.
   
   SystemDS 3.0 is a major release. This is the first release with Java 11 and 
Spark 3. Release 3.0 contains new features and major improvements to existing 
features.
   
   The major changes (compared to SystemDS 2.1/2.2) include:
   - Federated Backend: Multi-tenancy support with tenants isolation and reuse 
of intermediates across tenants for federated workers. Compression support for 
federated workloads. Extended support for the cost-based federated planner, and 
various robustness and performance improvements.
   - Full support for Top-K cleaning framework -- A framework for automatically 
generating the top-K most effective data cleaning pipelines.
   - Initial support for a Unified Memory Manager.
   - CUDA code generation and operator fusion [Experimental]
   - Robustness and performance improvements for Compressed Linear Algebra.
   - Performance and usability improvements for multi-threaded feature 
transformations.
   - Various new built-ins and apply functions for inference workloads.
   - Miscellaneous Improvements: Python end-to-end tutorials, improved 
documentation, and better testing


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