commit | b9eb4d8275ada2d3a9daa91481926ecc1d11ec8d | [log] [tgz] |
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author | Matthias Boehm <mboehm7@gmail.com> | Thu Mar 28 15:42:52 2024 +0100 |
committer | Matthias Boehm <mboehm7@gmail.com> | Thu Mar 28 15:42:52 2024 +0100 |
tree | fdd3537007f65a74d74ad622de0bc1319f3a7e0b | |
parent | 00f50172ecca9a8f863d9626fdf596fd54fde6cc [diff] |
[SYSTEMDS-3688] Improved MatrixMarket parallel reader performance This patch improves the performance of the existing parallel reader for the matrix-market formats. The changes include * Parallel sparse row pre-allocation (according to counted row-nnz) * Avoid buffer-value allocation for matrix-market pattern type (0/1) * Tailored sparse block append from buffers On a machine with 24 pcores / 48 vcores, this patch improved the read performance for road-network graph data as follows: * germany_osm.mtx (first read): 3.84s -> 2.94s * germany_osm.mtx (avg 10xread): 2.97s -> 2.25s * europe_osm.mtx (first read): 13.67s -> 12.09s * europe_osm.mtx (avg 10xread): 10.36s -> 8.71s
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.
Resource | Links |
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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