| commit | 9eb99fa8063a9d70e3ac5fdd90268ae9e855ac92 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Fri Mar 15 18:58:18 2024 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Fri Mar 15 18:58:18 2024 +0100 |
| tree | b92b453d40f72842d34709388f7e518468c69b4f | |
| parent | f1afbf46db890c1475f9032981946c7351a4744e [diff] |
[MINOR] Fine-tuning multi-threading thresholds for unary aggregates This patch makes the multi-threading thresholds of unary aggregates scalable in the number of threads, ensuring tasks are large enough to warrant multi-threading. Previously, they were hard-coded assuming common 16 or 24 core settings, which are nowadays with 128+ cores no longer true. For an experiment of 1000x sum(X) operations on a machine with 2x Intel Xeon Gold 6338 (128 vcores), this patch improved performance as follows: 1000x sum(1000 x 10): 0.131s (unchanged) 1000x sum(2000 x 10): 0.558s -> 0.214s (unchanged) 1000x sum(4000 x 10): 0.629s -> 0.375s (unchanged) 1000x sum(8000 x 10): 0.765s -> 0.693s (unchanged) 1000x sum(16000 x 10): 1.224s (unchanged)
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
