[DOCS] Create release notes for 3.3.0

Author: j143

_src/release-notes/systemds-release-notes-3.3.0.md

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+---
+layout: page
+title: SystemDS 3.3.0 Release Notes
+description: Project Release Notes
+group: nav-right
+---
+<!--
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+<section class="full-stripe full-stripe--subpage-header clear-header">
+  <div class="ml-container ml-container--horizontally-center">
+    <div class="col col-12 content-group content-group--center-content content-group--center-align">
+      <h1>{{ site.data.project.name }} 3.3.0 Release Notes</h1>
+    </div>
+  </div>
+</section>
+
+<section class="full-stripe full-stripe--alternate">
+  <div class="ml-container">
+    <div class="col col-12 content-group content-group--medium-bottom-margin" markdown="1">
+
+## Release notes for SystemDS 3.3.0
+
+SystemDS 3.3 is a minor release. Release 3.3 contains new features and major improvements to existing features.
+
+### New Features
+
+#### Built-in Functions
+- Added `sliceLineExtract` for efficient slicing operations.
+- Introduced `adasyn` for synthetic data generation in imbalanced datasets.
+- Added `GELU Activation Function` (approximation) for deep learning tasks.
+- New built-in for `vectorized simple exponential smoothing`.
+- **Python API Enhancements**:
+  - Added built-ins for `solve`, `median`, `quantile`, `lu`, `qr`, `cov`, and more.
+  - Introduced cumulative aggregate functions like `cumsum`, `cumprod`, etc.
+  - Added support for matrix operations like `diag`, `trace`, `sqrt`, `exp`, `floor`, and `ceil`.
+
+#### Performance Enhancements
+- Optimized matrix multiplication, including multi-threaded dot-product operations.
+- Improved performance for CSV and MatrixMarket readers with parallelism.
+- Enhanced incremental slice-line pruning for better efficiency.
+- Optimized federated operations with improved threading and cost estimation.
+
+#### Federated Learning
+- Fixed threading bugs in federated operations.
+- Improved federated planner memoization and added support for weighted covariance.
+
+#### Compression
+- Introduced workload-aware compression for intermediates.
+- Enhanced compressed matrix operations with new tests and optimizations.
+
+#### Scuro Framework
+- Added support for multi-head attention layers and LSTM representations.
+- Introduced new modalities and data representations for Scuro.
+
+### Bug Fixes
+- Fixed robustness issues in built-in functions:
+  - Corrected `trace` handling for non-square matrices.
+  - Fixed `seq()` length computation for edge cases.
+  - Resolved issues in `transformencode` for federated backends.
+- Addressed edge cases in matrix operations:
+  - Sparse-dense matrix multiplication.
+  - Incremental slice-line pruning.
+- Fixed federated operation bugs:
+  - Improved robustness for federated weighted covariance.
+  - Resolved flaky tests in federated primitives.
+
+### Code Quality and Testing
+- Improved test coverage:
+  - Simplification rewrites, federated operations, and Python APIs.
+  - Added new tests for matrix operations and compression.
+- Refactored and cleaned up code for better maintainability and performance.
+
+### Documentation
+- Updated Python API documentation with examples for new built-ins.
+- Improved overall documentation for better usability.
+
+### Dependency Updates
+- Updated library versions and dependencies:
+  - Bumped `codecov-action` to the latest version.
+  - Updated other dependencies for compatibility and security.
+
+### Miscellaneous
+- Added new rewrite rules for simplifications:
+  - `pushdown-sum` and `rm-reorg` for better performance.
+- Introduced new I/O support for cloud-optimized GeoTIFF files.
+- Added new determinant function and kernels for matrix operations.