| commit | 67ff6be3d609508023d33b44e7855d83b6ba39e4 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Fri Oct 31 17:04:40 2025 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Fri Oct 31 17:14:29 2025 +0100 |
| tree | ef9592941fa33268cb06392ecd57674af0fb1933 | |
| parent | 8c667b56b4ead43c1fc2fe7663f2a7d3f5850dc5 [diff] |
[SYSTEMDS-3930] Cleanup out-of-core backend and buffer pool * Fix order-dependent restore of indexed matrix blocks (keep indexes) * Fix potential race condition in unguarded cache modifications * Fix warnings and unnecessary imports Closes #2348.
Overview: Apache SystemDS is an open-source machine learning (ML) system for the end-to-end data science lifecycle from data preparation and cleaning, over efficient ML model training, to debugging and serving. ML algorithms or pipelines are specified in a high-level language with R-like syntax or related Python and Java APIs (with many builtin primitives), and the system automatically generates hybrid runtime plans of local, in-memory operations and distributed operations on Apache Spark. Additional backends exist for GPUs and federated learning.
| Resource | Links |
|---|---|
| Quick Start | Install, Quick Start and Hello World |
| Documentation: | SystemDS Documentation |
| Python Documentation | Python SystemDS Documentation |
| Issue Tracker | Jira Dashboard |
Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
