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commit 5461f427730656b1e18211907365eea94b32a052 Author: Mark Dokter <[email protected]> AuthorDate: Tue Sep 29 16:02:29 2020 +0200 [MINOR][DOC] Added supported versions for MKL and CUDA to documentation --- docs/index.md | 3 ++- docs/site/run.md | 6 +++--- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/docs/index.md b/docs/index.md index 7b09939..0c593d6 100644 --- a/docs/index.md +++ b/docs/index.md @@ -28,7 +28,8 @@ SystemDS's distinguishing characteristics are: 2. **Multiple execution modes**, including Spark MLContext, Spark Batch, Standalone, and JMLC. 3. **Automatic optimization** based on data and cluster characteristics to ensure both efficiency and scalability. -This version of SystemDS supports: Java 8+, Python 3.5+, Hadoop 2.6+ (Not 3.X), and Spark 2.1+ (Not 3.X). +This version of SystemDS supports: Java 8+, Python 3.5+, Hadoop 2.6+ (Not 3.X), and Spark 2.1+ (Not 3.X) Nvidia CUDA 10.2 + (CuDNN 7.x) Intel MKL (<=2019.x). # Links diff --git a/docs/site/run.md b/docs/site/run.md index 2b7032b..427da2e 100644 --- a/docs/site/run.md +++ b/docs/site/run.md @@ -92,8 +92,8 @@ bin/systemds Univar-Stats.dml -nvargs X=data/haberman.data TYPES=data/types.csv ## Using Intel MKL native instructions -To use the MKL acceleration download and install the latest MKL library from [1], -set the environment variables with the MKL-provided script `$ compilervars.sh intel64` and set -the option `sysds.native.blas` in `SystemDS-config.xml`. +To use the MKL acceleration download and install the latest supported MKL library (<=2019.5) from [1], +set the environment variables with the MKL-provided script `. /opt/intel/bin/compilervars.sh intel64` (note the dot and +the default install location) and set the option `sysds.native.blas` in `SystemDS-config.xml` to mkl. [1]: https://software.intel.com/mkl "Intel Math Kernel Library" \ No newline at end of file
