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2 changes: 1 addition & 1 deletion docs/index.md
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Expand Up @@ -36,7 +36,7 @@ to find out how to help make SystemML even better!

To download SystemML, visit the [downloads](http://systemml.apache.org/download) page.

This version of SystemML supports: Java 8+, Scala 2.11+, Python 2.7/3.5+, Hadoop 2.6+, and Spark 2.1+.
This version of SystemML supports: Java 8+, Scala 2.11+, Python 2.7/3.5+, Hadoop 2.6+, and Spark 2.3+.

## Running SystemML

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4 changes: 2 additions & 2 deletions pom.xml
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Expand Up @@ -64,8 +64,8 @@

<properties>
<hadoop.version>2.7.7</hadoop.version>
<antlr.version>4.5.3</antlr.version>
<spark.version>2.1.0</spark.version>
<antlr.version>4.7</antlr.version>
<spark.version>2.3.0</spark.version>
<scala.version>2.11.8</scala.version>
<scala.binary.version>2.11</scala.binary.version>
<scala.test.version>2.2.6</scala.test.version>
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Expand Up @@ -88,7 +88,7 @@ public void call(Tuple2<Integer, Tuple2<MatrixBlock, MatrixBlock>> input) throws
call(); // Launch the worker
}

private void configureWorker(Tuple2<Integer, Tuple2<MatrixBlock, MatrixBlock>> input) throws IOException {
private void configureWorker(Tuple2<Integer, Tuple2<MatrixBlock, MatrixBlock>> input) throws IOException, InterruptedException {
_workerID = input._1;

// Initialize codegen class cache (before program parsing)
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Expand Up @@ -50,7 +50,7 @@ public static TransportServer createServer(SparkConf conf, LocalParamServer ps,
return context.createServer(host, 0, Collections.emptyList()); // bind rpc to an ephemeral port
}

public static SparkPSProxy createSparkPSProxy(SparkConf conf, int port, LongAccumulator aRPC) throws IOException {
public static SparkPSProxy createSparkPSProxy(SparkConf conf, int port, LongAccumulator aRPC) throws IOException, InterruptedException {
long rpcTimeout = conf.contains("spark.rpc.askTimeout") ?
conf.getTimeAsMs("spark.rpc.askTimeout") :
conf.getTimeAsMs("spark.network.timeout", "120s");
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