_src/release-notes/systemds-release-notes-3.4.0.md

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## Release notes for SystemDS 3.4.0

SystemDS 3.4.0 is a minor release with Java 17 support, native Delta Lake I/O, Vector API execution paths, and runtime improvements.

### Runtime Requirements

- Java 17 is required.
- JVMs that launch SystemDS must enable the Vector API with `--add-modules=jdk.incubator.vector`.
- Custom Java launchers and `spark-submit` deployments must pass the required Java 17 module and package-open options to every JVM.

### New Features

- Native Delta Lake readers and writers for matrices and frames, built on Delta Kernel with Parquet data-file support.
- Vectorized execution and optimized Einstein summation (`einsum`).
- Expanded Scuro multimodal and time-series processing.
- New built-ins and algorithms, including:
  - LARS, missing-data mechanism detection, Hidden Markov Models, and HDBSCAN.
  - Clustered classification, BERT layers, GloVe, and counter-based random generation.

### Runtime and Performance Improvements

- Improved compressed execution, matrix multiplication, transforms, and workload-aware intermediate compression.
- Faster frame conversion and Python/JVM data transfer.
- Improved Spark context management, compiler rewrites, and GPU compatibility.

### Federated Runtime

- Improved worker lifecycle handling, planning, and workload analysis.
- Fixed threading and synchronization issues.

### Experimental Out-of-Core Execution

- Introduces an experimental out-of-core framework for workloads that exceed the JVM heap.
- Supports selected matrix operations, I/O, streams, caches, and iterative algorithms.
- Remains incomplete and is not recommended for production use.

### Bug Fixes and Other Improvements

- Fixed issues in `mdedup`, `ampute`, Isolation Forest, `unique`, trace compatibility, compiler rewrites, and federated execution.
- Updated Java 17 build, Docker, CI, and release infrastructure; added Databricks deployment material and documentation.
- Updated key dependencies: Spark 3.5.7, Hadoop 3.3.6 client libraries, Scala 2.12.18, Delta Kernel 3.3.2, Parquet 1.13.1, and JCuda 12.6.0.