| commit | bbdbb1a7814d58da15cdd0bd35a08811a635d869 | [log] [tgz] |
|---|---|---|
| author | Sebastian Baunsgaard <baunsgaard@apache.org> | Thu Apr 04 18:08:27 2024 +0200 |
| committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Thu Apr 04 18:21:14 2024 +0200 |
| tree | a35c28e3eac0408fddb9d9a71992d7fcf4365cad | |
| parent | c8bf90bf34c87a1bcdd89c3056a5af7f11bab2e9 [diff] |
[MINOR] Append perf This commit adds a perf script for MCSR appending. It is manly ment as an example of how to execute a perf script. ```` Me:~/github/systemds$ java -jar target/systemds-3.3.0-SNAPSHOT-perf.jar 1004 1000 100000 Appending rep: 1000 of 100000 distinct append calls (including random and allocations) Append all dense: 4.262+- 0.164 ms Append all zero on empty: 0.198+- 0.004 ms Append all zero on Scalar: 0.197+- 0.004 ms Append all zero on Array: 0.203+- 0.013 ms Append half zero on Array: 4.422+- 0.170 ms ``` Closes #2011
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 |
|---|---|
| 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
