| commit | 6321dbb61e9593e49c59318f3d9cb38a8b0e9c2a | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Tue Feb 02 19:22:59 2021 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Tue Feb 02 23:26:24 2021 +0100 |
| tree | bdc009c53e50ffbd57fb0047820ce7fcc21190bc | |
| parent | f7b5f8811ad0c264f6ee1c7ecb9d16f4315698ca [diff] |
[SYSTEMDS-2641] Improved slice finding algorithm (script, spark ops) This patch extends the slice finding algorithm for improved performance, especially over large distributed matrices, with millions of features. Furthermore, this also includes various fixes and improvements that were encountered along the way. * Slice finder algorithm extension (pruning of unnecessary columns, avoid ultra-sparse mm via simplified deduplication) * Propagate noempty block meta data to avoid inconsistent treatment wrt number of partitions * Checkpoint (avoid unnecessary repartitioning, nnz analysis) * Improved empty block filtering in spark cpmm instructions * Consistent handling spark ctable and rexpand post-processing * Fix spark removeEmpty instruction parsing (wrong broadcast flag leading to unnecessary replication) * Fix csv tests (NPEs w/o output buffering, formatting)
Overview: SystemDS is a versatile 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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Documentation: SystemDS Documentation
Python Documentation Python SystemDS Documentation
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
