commit | 64692625faf0970fc0295aa4f7399339a6ea6dcc | [log] [tgz] |
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author | baunsgaard <baunsgaard@tugraz.at> | Tue Jan 19 17:28:28 2021 +0100 |
committer | baunsgaard <baunsgaard@tugraz.at> | Wed Jan 27 14:15:16 2021 +0100 |
tree | 8c0acdb9167c261363365824704dbc36c79bdd0d | |
parent | b87001b11101fc32ece6618922b73a5c5741a2e3 [diff] |
[SYSTEMDS-2803] Compressed Squeeze overlap to compressed This addition allows taking an overlapping matrix, and collapsing it into a compressed matrix. The key observation in this collapsed representation is that individual columns in the output have values that compress very nicely in lossy compression for individual columns, since each column after a matrix multiplication have values that are in the same ranges. This makes it possible to maintain the values to a 99% same values, while compressing using our 8 bit lossy maps. Further work on establishing better lossy compressions with better maps would improve the perseverance of the values. Closes #1166
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