/* * Copyright (c) 2016, 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. */ /** * @test * @bug 8160425 * @summary Test vectorization with a signalling NaN. * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-OptimizeFill * compiler.vectorization.TestNaNVector * @run main/othervm -XX:+IgnoreUnrecognizedVMOptions -XX:-OptimizeFill * -XX:MaxVectorSize=4 compiler.vectorization.TestNaNVector */ package compiler.vectorization; public class TestNaNVector { private char[] array; private static final int LEN = 1024; public static void main(String args[]) { TestNaNVector test = new TestNaNVector(); // Check double precision NaN for (int i = 0; i < 10_000; ++i) { test.vectorizeNaNDP(); } System.out.println("Checking double precision Nan"); test.checkResult(0xfff7); // Check single precision NaN for (int i = 0; i < 10_000; ++i) { test.vectorizeNaNSP(); } System.out.println("Checking single precision Nan"); test.checkResult(0xff80); } public TestNaNVector() { array = new char[LEN]; } public void vectorizeNaNDP() { // This loop will be vectorized and the array store will be replaced by // a 64-bit vector store to four subsequent array elements. The vector // should look like this '0xfff7fff7fff7fff7' and is read from the constant // table. However, in floating point arithmetic this is a signalling NaN // which may be converted to a quiet NaN when processed by the x87 FPU. // If the signalling bit is set, the vector ends up in the constant table // as '0xfffffff7fff7fff7' which leads to an incorrect result. for (int i = 0; i < LEN; ++i) { array[i] = 0xfff7; } } public void vectorizeNaNSP() { // Same as above but with single precision for (int i = 0; i < LEN; ++i) { array[i] = 0xff80; } } public void checkResult(int expected) { for (int i = 0; i < LEN; ++i) { if (array[i] != expected) { throw new RuntimeException("Invalid result: array[" + i + "] = " + (int)array[i] + " != " + expected); } } } }