191 lines
6.6 KiB
C
191 lines
6.6 KiB
C
/* 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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* Translated to C++ 30 May 1997 by William D Clinger of Northeastern Univ.
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* Translated to C and simplified for compatibility with the Gambit benchmark
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* suite 1 July 1999 by William D Clinger of Northeastern Univ.
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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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#include <stdio.h>
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int kStretchTreeDepth = 18; /* about 16Mb */
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int kLongLivedTreeDepth = 16; /* about 4Mb */
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int kArraySize = 500000; /* about 4Mb */
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int kMinTreeDepth = 4;
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int kMaxTreeDepth = 16;
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typedef struct Node0 *Node;
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struct Node0 {
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Node left;
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Node right;
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int i, j;
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};
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static Node make_Node(Node l, Node r) {
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Node result = (Node) malloc(sizeof(struct Node0));
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result->left = l;
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result->right = r;
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return result;
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}
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static Node leaf_Node() {
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return make_Node(0, 0);
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}
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static void free_Node(Node x) {
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if (x->left)
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free_Node(x->left);
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if (x->right)
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free_Node(x->right);
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free(x);
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}
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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 = leaf_Node();
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thisNode->right = leaf_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 leaf_Node();
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} else {
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return make_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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#if 0
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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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#endif
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}
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static void TimeConstruction(int depth) {
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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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int i;
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printf ("Creating %d trees of depth %d\n", iNumIters, depth);
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for (i = 0; i < iNumIters; ++i) {
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tempTree = leaf_Node();
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Populate(depth, tempTree);
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free_Node(tempTree);
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tempTree = 0;
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}
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for (i = 0; i < iNumIters; ++i) {
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tempTree = MakeTree(depth);
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free_Node(tempTree);
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tempTree = 0;
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}
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}
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main() {
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Node root;
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Node longLivedTree;
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Node tempTree;
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double *array;
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int i;
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int d;
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printf ("Garbage Collector Test\n");
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printf (" Live storage will peak at %d bytes.\n\n",
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2 * sizeof(struct Node0) * TreeSize(kLongLivedTreeDepth) +
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sizeof(double) * kArraySize);
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printf (" Stretching memory with a binary tree of depth %d\n",
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kStretchTreeDepth);
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PrintDiagnostics();
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/* Stretch the memory space quickly */
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tempTree = MakeTree(kStretchTreeDepth);
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free_Node(tempTree);
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tempTree = 0;
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/* Create a long lived object */
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printf (" Creating a long-lived binary tree of depth %d\n",
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kLongLivedTreeDepth);
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longLivedTree = leaf_Node();
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Populate(kLongLivedTreeDepth, longLivedTree);
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/* Create long-lived array, filling half of it */
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printf (" Creating a long-lived array of %d doubles\n",
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kArraySize);
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array = (double *) malloc(kArraySize*sizeof(double));
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for (i = 0; i < kArraySize/2; ++i) {
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array[i] = 1.0/i; /* sic */
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}
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PrintDiagnostics();
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for (d = kMinTreeDepth; d <= kMaxTreeDepth; d += 2) {
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TimeConstruction(d);
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}
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if (longLivedTree == 0 || array[1000] != 1.0/1000)
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printf ("Failed\n");
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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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PrintDiagnostics();
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}
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