blob: 5c9b94cb9e7826eb00de208e24b7da7ae453b8af [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.
#
#-------------------------------------------------------------
cache_size = ceil($1/(1024*1024)); #in MB
output_size = 8; #8MB
X = rand(rows=1024, cols=1024, sparsity = 1.0, seed=42);
X1 = X;
R = matrix(0, 1024, 1024);
R1 = R;
k = floor((cache_size / output_size));
# Fill the cache with 'exp' and '+' outputs
for (i in 1:k/2) {
R = exp(X);
X = X + 1;
}
# Trigger evictions. LRU evicts half of both 'exp' and '+' results,
# where Weighted scheme evicts all the '+' results to recover
# same amount of memory.
for (i in 1:k/4) {
R = round(X);
X = X + 1;
}
# Try to reuse 'exp' and '+' results. LRU keeps evicting
# the remaining half of 'exp' and '+' results from the 1st
# loop, and in turn fails to reuse any of the instructions,
# where Weighted scheme keeps evicting the '+'s (from 2nd loop)
# but able to reuse 'exp's.
for (i in 1:k/4) {
R1 = exp(X1);
X1 = X1 + 1;
}
R = R+R1;
write(R, $2, format="text");