| commit | 8af25591620265e582e85befc8167a040d282004 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Sat Feb 20 17:05:48 2021 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Sat Feb 20 17:06:09 2021 +0100 |
| tree | a868478ca69463898c1e4463fe00115c90ad9210 | |
| parent | f24a02139abaa8dc730480cf33c608876577b6b9 [diff] |
[SYSTEMDS-2866] Extended sparse-sparse matrix multiplication We already had four kernels for sparse-sparse matrix multiplication, and several kernels for ultra-sparse matrix multiplication, but only ultra-sparse kernels directly worked with sparse outputs while sparse-sparse worked over dense outputs which created unnecessary allocation and GC overhead. This patch adds an additional sparse-sparse kernel that estimates the number of non-zeros in the output and directly works with the sparse output, by using temporary dense rows buffers and immediate compaction.
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.
Quick Start Install, Quick Start and Hello World
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
