Copyright (c) 2014, Oracle and/or its affiliates. All rights reserved. DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. This code is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 2 only, as published by the Free Software Foundation. This code is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License version 2 for more details (a copy is included in the LICENSE file that accompanied this code). You should have received a copy of the GNU General Public License version 2 along with this work; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA or visit www.oracle.com if you need additional information or have any questions. ======================================================================= The tests are divided by scenario. Each scenario has the problem it tries to solve, and it does that with several options: - BulkBench only compares handmade solutions vs. JDK bulk operations, without resorting to lambdas/methodrefs - LambdaBench does bulk operations with lambdas/methodrefs - XtrasBench has some other interesting options All tests in these benchmarks follow the following naming convention. Test names is the concatenation of several markers: {hm|bulk}: infrastructure used - hm: "handmade" version which users would presumably implement otherwise - bulk: JDK8-ish bulk operation {seq|par}: parallelism mode - seq: sequential mode - par: parallel mode; in "hm" case, this might have different implementations {.|inner|lambda|mref}: functional interface type - .: no specific meaning - inner: explicit inner class - lambda: JDK8-ish lambda - mref: JDK8-ish method ref E.g. bulk_seq_inner is the test harnesses JDK8 bulk operations in sequential mode, and explicit inner class as function All benchmarks should be executed in the following modes (see -t harness cmdline option): - single mode (thread = 1), - core mode (thread = number of cores), - max mode (thread = number of HW threads).