blob: aa04c680258b52d65f08c2e18260d67234091d81 [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
X = rand(rows=1500, cols=1500, seed=42); #sp_rand
v = rand(rows=1500, cols=1, seed=42); #cp_rand
v2 = rand(rows=1500, cols=1, seed=43); #cp_rand
# CP instructions
v = ((v + v) * 1 - v) / (1+1);
v = ((v + v) * 2 - v) / (2+1);
# Spark operations
sp1 = X + ceil(X);
sp2 = t(sp1) %*% sp1; #shared among Job 1 and 2
# Job1: SP unary triggers the DAG of SP operations
sp3 = sp2 + sum(v);
R1 = sum(sp3);
# Job2: SP unary triggers the DAG of SP operations
sp4 = sp2 + sum(v2);
R2 = sum(sp4);
R = R1 + R2;
write(R, $1, format="text");