author | kzhaldyb |
Mon, 22 Aug 2016 16:43:56 +0300 | |
changeset 40904 | 5189925f9ece |
parent 33214 | hotspot/src/share/vm/gc/g1/g1Predictions.cpp@5a00fba36171 |
permissions | -rw-r--r-- |
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/* |
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* Copyright (c) 2016, Oracle and/or its affiliates. All rights reserved. |
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. |
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* |
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* This code is free software; you can redistribute it and/or modify it |
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* under the terms of the GNU General Public License version 2 only, as |
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* published by the Free Software Foundation. |
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* |
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* This code is distributed in the hope that it will be useful, but WITHOUT |
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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* version 2 for more details (a copy is included in the LICENSE file that |
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* accompanied this code). |
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* |
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* You should have received a copy of the GNU General Public License version |
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* 2 along with this work; if not, write to the Free Software Foundation, |
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* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. |
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* |
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* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA |
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* or visit www.oracle.com if you need additional information or have any |
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* questions. |
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* |
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*/ |
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#include "precompiled.hpp" |
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#include "gc/g1/g1Predictions.hpp" |
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#include "unittest.hpp" |
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static const double epsilon = 1e-6; |
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// Some basic formula tests with confidence = 0.0 |
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TEST_VM(G1Predictions, basic_predictions) { |
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G1Predictions predictor(0.0); |
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TruncatedSeq s; |
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double p0 = predictor.get_new_prediction(&s); |
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ASSERT_LT(p0, epsilon) << "Initial prediction of empty sequence must be 0.0"; |
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s.add(5.0); |
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double p1 = predictor.get_new_prediction(&s); |
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ASSERT_NEAR(p1, 5.0, epsilon); |
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for (int i = 0; i < 40; i++) { |
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s.add(5.0); |
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} |
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double p2 = predictor.get_new_prediction(&s); |
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ASSERT_NEAR(p2, 5.0, epsilon); |
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} |
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// The following tests checks that the initial predictions are based on |
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// the average of the sequence and not on the stddev (which is 0). |
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TEST_VM(G1Predictions, average_not_stdev_predictions) { |
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G1Predictions predictor(0.5); |
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TruncatedSeq s; |
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s.add(1.0); |
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double p1 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p1, s.davg()) << "First prediction must be greater than average"; |
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s.add(1.0); |
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double p2 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p1, p2) << "First prediction must be greater than second"; |
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s.add(1.0); |
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double p3 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p2, p3) << "Second prediction must be greater than third"; |
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s.add(1.0); |
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s.add(1.0); // Five elements are now in the sequence. |
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double p4 = predictor.get_new_prediction(&s); |
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ASSERT_LT(p4, p3) << "Fourth prediction must be smaller than third"; |
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ASSERT_NEAR(p4, 1.0, epsilon); |
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} |
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// The following tests checks that initially prediction based on |
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// the average is used, that gets overridden by the stddev prediction at |
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// the end. |
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TEST_VM(G1Predictions, average_stdev_predictions) { |
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G1Predictions predictor(0.5); |
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TruncatedSeq s; |
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s.add(0.5); |
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double p1 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p1, s.davg()) << "First prediction must be greater than average"; |
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s.add(0.2); |
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double p2 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p1, p2) << "First prediction must be greater than second"; |
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s.add(0.5); |
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double p3 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p2, p3) << "Second prediction must be greater than third"; |
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s.add(0.2); |
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s.add(2.0); |
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double p4 = predictor.get_new_prediction(&s); |
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ASSERT_GT(p4, p3) << "Fourth prediction must be greater than third"; |
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} |