[SYSTEMDS-3510] Recycling pointers from GPU lineage cache

This patch reworks the GPU cache eviction (deletion). The free pointer
cache stays empty when lineage cache is enabled. This patch allows
recycling the cached pointers. We maintain two lists for live and
free pointers in the cache. When the GPU memory is full, we poll
the first entry from the free list (weighted queue) and recycle
the pointer if the size matches the requested size, otherwise we
deallocate the cached pointers till enough space is available.

Closes #1796
11 files changed
tree: 95ad2065c7f73153c66fb03a2e6b27e531f078b8
  1. .github/
  2. .mvn/
  3. bin/
  4. conf/
  5. dev/
  6. docker/
  7. docs/
  8. scripts/
  9. src/
  10. .asf.yaml
  11. .gitattributes
  12. .gitignore
  13. .gitmodules
  14. CITATION
  15. CONTRIBUTING.md
  16. LICENSE
  17. NOTICE
  18. pom.xml
  19. README.md
README.md

Apache SystemDS

Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.

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