ikarus/benchmarks.larceny/src/gcbench.c

191 lines
6.6 KiB
C

/* This is adapted from a benchmark written by John Ellis and Pete Kovac
* of Post Communications.
* It was modified by Hans Boehm of Silicon Graphics.
* Translated to C++ 30 May 1997 by William D Clinger of Northeastern Univ.
* Translated to C and simplified for compatibility with the Gambit benchmark
* suite 1 July 1999 by William D Clinger of Northeastern Univ.
*
* This is no substitute for real applications. No actual application
* is likely to behave in exactly this way. However, this benchmark was
* designed to be more representative of real applications than other
* Java GC benchmarks of which we are aware.
* It attempts to model those properties of allocation requests that
* are important to current GC techniques.
* It is designed to be used either to obtain a single overall performance
* number, or to give a more detailed estimate of how collector
* performance varies with object lifetimes. It prints the time
* required to allocate and collect balanced binary trees of various
* sizes. Smaller trees result in shorter object lifetimes. Each cycle
* allocates roughly the same amount of memory.
* Two data structures are kept around during the entire process, so
* that the measured performance is representative of applications
* that maintain some live in-memory data. One of these is a tree
* containing many pointers. The other is a large array containing
* double precision floating point numbers. Both should be of comparable
* size.
*
* The results are only really meaningful together with a specification
* of how much memory was used. It is possible to trade memory for
* better time performance. This benchmark should be run in a 32 MB
* heap, though we don't currently know how to enforce that uniformly.
*
* Unlike the original Ellis and Kovac benchmark, we do not attempt
* measure pause times. This facility should eventually be added back
* in. There are several reasons for omitting it for now. The original
* implementation depended on assumptions about the thread scheduler
* that don't hold uniformly. The results really measure both the
* scheduler and GC. Pause time measurements tend to not fit well with
* current benchmark suites. As far as we know, none of the current
* commercial Java implementations seriously attempt to minimize GC pause
* times.
*/
#include <stdio.h>
int kStretchTreeDepth = 18; /* about 16Mb */
int kLongLivedTreeDepth = 16; /* about 4Mb */
int kArraySize = 500000; /* about 4Mb */
int kMinTreeDepth = 4;
int kMaxTreeDepth = 16;
typedef struct Node0 *Node;
struct Node0 {
Node left;
Node right;
int i, j;
};
static Node make_Node(Node l, Node r) {
Node result = (Node) malloc(sizeof(struct Node0));
result->left = l;
result->right = r;
return result;
}
static Node leaf_Node() {
return make_Node(0, 0);
}
static void free_Node(Node x) {
if (x->left)
free_Node(x->left);
if (x->right)
free_Node(x->right);
free(x);
}
/* Nodes used by a tree of a given size */
static int TreeSize(int i) {
return ((1 << (i + 1)) - 1);
}
/* Number of iterations to use for a given tree depth */
static int NumIters(int i) {
return 2 * TreeSize(kStretchTreeDepth) / TreeSize(i);
}
/* Build tree top down, assigning to older objects. */
static void Populate(int iDepth, Node thisNode) {
if (iDepth<=0) {
return;
} else {
iDepth--;
thisNode->left = leaf_Node();
thisNode->right = leaf_Node();
Populate (iDepth, thisNode->left);
Populate (iDepth, thisNode->right);
}
}
/* Build tree bottom-up */
static Node MakeTree(int iDepth) {
if (iDepth<=0) {
return leaf_Node();
} else {
return make_Node(MakeTree(iDepth-1),
MakeTree(iDepth-1));
}
}
static void PrintDiagnostics() {
#if 0
long lFreeMemory = Runtime.getRuntime().freeMemory();
long lTotalMemory = Runtime.getRuntime().totalMemory();
System.out.print(" Total memory available="
+ lTotalMemory + " bytes");
System.out.println(" Free memory=" + lFreeMemory + " bytes");
#endif
}
static void TimeConstruction(int depth) {
long tStart, tFinish;
int iNumIters = NumIters(depth);
Node tempTree;
int i;
printf ("Creating %d trees of depth %d\n", iNumIters, depth);
for (i = 0; i < iNumIters; ++i) {
tempTree = leaf_Node();
Populate(depth, tempTree);
free_Node(tempTree);
tempTree = 0;
}
for (i = 0; i < iNumIters; ++i) {
tempTree = MakeTree(depth);
free_Node(tempTree);
tempTree = 0;
}
}
main() {
Node root;
Node longLivedTree;
Node tempTree;
double *array;
int i;
int d;
printf ("Garbage Collector Test\n");
printf (" Live storage will peak at %d bytes.\n\n",
2 * sizeof(struct Node0) * TreeSize(kLongLivedTreeDepth) +
sizeof(double) * kArraySize);
printf (" Stretching memory with a binary tree of depth %d\n",
kStretchTreeDepth);
PrintDiagnostics();
/* Stretch the memory space quickly */
tempTree = MakeTree(kStretchTreeDepth);
free_Node(tempTree);
tempTree = 0;
/* Create a long lived object */
printf (" Creating a long-lived binary tree of depth %d\n",
kLongLivedTreeDepth);
longLivedTree = leaf_Node();
Populate(kLongLivedTreeDepth, longLivedTree);
/* Create long-lived array, filling half of it */
printf (" Creating a long-lived array of %d doubles\n",
kArraySize);
array = (double *) malloc(kArraySize*sizeof(double));
for (i = 0; i < kArraySize/2; ++i) {
array[i] = 1.0/i; /* sic */
}
PrintDiagnostics();
for (d = kMinTreeDepth; d <= kMaxTreeDepth; d += 2) {
TimeConstruction(d);
}
if (longLivedTree == 0 || array[1000] != 1.0/1000)
printf ("Failed\n");
/* Fake reference to LongLivedTree */
/* and array */
/* to keep them from being optimized away */
PrintDiagnostics();
}