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Initial import
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182
tests/bench/GCBench.java
Executable file
182
tests/bench/GCBench.java
Executable file
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// This is adapted from a benchmark written by John Ellis and Pete Kovac
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// of Post Communications.
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// It was modified by Hans Boehm of Silicon Graphics.
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//
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// This is no substitute for real applications. No actual application
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// is likely to behave in exactly this way. However, this benchmark was
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// designed to be more representative of real applications than other
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// Java GC benchmarks of which we are aware.
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// It attempts to model those properties of allocation requests that
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// are important to current GC techniques.
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// It is designed to be used either to obtain a single overall performance
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// number, or to give a more detailed estimate of how collector
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// performance varies with object lifetimes. It prints the time
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// required to allocate and collect balanced binary trees of various
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// sizes. Smaller trees result in shorter object lifetimes. Each cycle
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// allocates roughly the same amount of memory.
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// Two data structures are kept around during the entire process, so
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// that the measured performance is representative of applications
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// that maintain some live in-memory data. One of these is a tree
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// containing many pointers. The other is a large array containing
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// double precision floating point numbers. Both should be of comparable
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// size.
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//
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// The results are only really meaningful together with a specification
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// of how much memory was used. It is possible to trade memory for
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// better time performance. This benchmark should be run in a 32 MB
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// heap, though we don't currently know how to enforce that uniformly.
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//
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// Unlike the original Ellis and Kovac benchmark, we do not attempt
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// measure pause times. This facility should eventually be added back
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// in. There are several reasons for omitting it for now. The original
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// implementation depended on assumptions about the thread scheduler
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// that don't hold uniformly. The results really measure both the
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// scheduler and GC. Pause time measurements tend to not fit well with
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// current benchmark suites. As far as we know, none of the current
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// commercial Java implementations seriously attempt to minimize GC pause
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// times.
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//
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// Known deficiencies:
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// - No way to check on memory use
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// - No cyclic data structures
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// - No attempt to measure variation with object size
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// - Results are sensitive to locking cost, but we dont
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// check for proper locking
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class Node {
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Node left, right;
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int i, j;
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Node(Node l, Node r) { left = l; right = r; }
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Node() { }
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}
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public class GCBench {
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public static final int kStretchTreeDepth = 18; // about 16Mb
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public static final int kLongLivedTreeDepth = 16; // about 4Mb
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public static final int kArraySize = 500000; // about 4Mb
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public static final int kMinTreeDepth = 4;
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public static final int kMaxTreeDepth = 16;
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// Nodes used by a tree of a given size
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static int TreeSize(int i) {
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return ((1 << (i + 1)) - 1);
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}
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// Number of iterations to use for a given tree depth
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static int NumIters(int i) {
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return 2 * TreeSize(kStretchTreeDepth) / TreeSize(i);
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}
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// Build tree top down, assigning to older objects.
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static void Populate(int iDepth, Node thisNode) {
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if (iDepth<=0) {
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return;
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} else {
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iDepth--;
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thisNode.left = new Node();
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thisNode.right = new Node();
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Populate (iDepth, thisNode.left);
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Populate (iDepth, thisNode.right);
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}
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}
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// Build tree bottom-up
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static Node MakeTree(int iDepth) {
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if (iDepth<=0) {
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return new Node();
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} else {
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return new Node(MakeTree(iDepth-1),
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MakeTree(iDepth-1));
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}
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}
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static void PrintDiagnostics() {
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long lFreeMemory = Runtime.getRuntime().freeMemory();
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long lTotalMemory = Runtime.getRuntime().totalMemory();
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System.out.print(" Total memory available="
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+ lTotalMemory + " bytes");
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System.out.println(" Free memory=" + lFreeMemory + " bytes");
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}
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static void TimeConstruction(int depth) {
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Node root;
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long tStart, tFinish;
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int iNumIters = NumIters(depth);
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Node tempTree;
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System.out.println("Creating " + iNumIters +
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" trees of depth " + depth);
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tStart = System.currentTimeMillis();
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for (int i = 0; i < iNumIters; ++i) {
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tempTree = new Node();
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Populate(depth, tempTree);
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tempTree = null;
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}
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tFinish = System.currentTimeMillis();
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System.out.println("\tTop down construction took "
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+ (tFinish - tStart) + "msecs");
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tStart = System.currentTimeMillis();
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for (int i = 0; i < iNumIters; ++i) {
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tempTree = MakeTree(depth);
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tempTree = null;
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}
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tFinish = System.currentTimeMillis();
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System.out.println("\tBottom up construction took "
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+ (tFinish - tStart) + "msecs");
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}
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public static void main(String args[]) {
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Node root;
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Node longLivedTree;
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Node tempTree;
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long tStart, tFinish;
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long tElapsed;
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System.out.println("Garbage Collector Test");
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System.out.println(
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" Stretching memory with a binary tree of depth "
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+ kStretchTreeDepth);
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PrintDiagnostics();
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tStart = System.currentTimeMillis();
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// Stretch the memory space quickly
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tempTree = MakeTree(kStretchTreeDepth);
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tempTree = null;
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// Create a long lived object
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System.out.println(
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" Creating a long-lived binary tree of depth " +
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kLongLivedTreeDepth);
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longLivedTree = new Node();
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Populate(kLongLivedTreeDepth, longLivedTree);
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// Create long-lived array, filling half of it
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System.out.println(
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" Creating a long-lived array of "
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+ kArraySize + " doubles");
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double array[] = new double[kArraySize];
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for (int i = 0; i < kArraySize/2; ++i) {
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array[i] = 1.0/i;
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}
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PrintDiagnostics();
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for (int d = kMinTreeDepth; d <= kMaxTreeDepth; d += 2) {
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TimeConstruction(d);
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}
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if (longLivedTree == null || array[1000] != 1.0/1000)
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System.out.println("Failed");
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// fake reference to LongLivedTree
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// and array
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// to keep them from being optimized away
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tFinish = System.currentTimeMillis();
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tElapsed = tFinish-tStart;
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PrintDiagnostics();
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System.out.println("Completed in " + tElapsed + "ms.");
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}
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} // class JavaGC
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