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CS216: Program and Data Representation University of Virginia Computer Science Spring 2006 David Evans Lecture 12: Automating Memory Management

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1 CS216: Program and Data Representation University of Virginia Computer Science Spring 2006 David Evans Lecture 12: Automating Memory Management http://www.cs.virginia.edu/cs216 Garbage Collectors, COAX, Seoul, 18 June 2002

2 2 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Menu Stack and Heap Mark and Sweep Stop and Copy Reference Counting Java’s Garbage Collector Python’s Solution

3 3 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Stack and Heap Review public class Strings { public static void test () { StringBuffer sb = new StringBuffer ("hello"); } static public void main (String args[]) { test (); } sb java.lang.StringBuffer “hello” Stack Heap When do the stack and heap look like this? A B 1 2 3

4 4 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Stack and Heap Review public class Strings { public static void test () { StringBuffer sb = new StringBuffer ("hello"); } static public void main (String args[]) { test (); } sb java.lang.StringBuffer “hello” Stack Heap B 2

5 5 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Garbage Heap public class Strings { public static void test () { StringBuffer sb = new StringBuffer ("hello"); } static public void main (String args[]) { while (true) test (); } “hello” Stack Heap “hello”

6 6 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Garbage Collection System needs to reclaim storage on the heap used by garbage objects How can it identify garbage objects? How come we don’t need to garbage collect the stack?

7 7 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Mark and Sweep

8 8 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Mark and Sweep John McCarthy, 1960 (first LISP implementation) Start with a set of root references Mark every object you can reach from those references Sweep up the unmarked objects What are the root references? References on the stack.

9 9 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management public class Phylogeny { static public void main (String args[]) { SpeciesSet ss = new SpeciesSet (); … (open file for reading) while (…not end of file…) { Species current = new Species (…name from file…, …genome from file…); ss.insert (current); } public class SpeciesSet { private Vector els; public void insert (/*@non_null@*/ Species s) { if (getIndex (s) < 0) els.add (s); }

10 Stack Top of Stack Bottom of Stack Phylogeny.main “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: current: Species “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: SpeciesSet.inser t this: SpeciesSet s: Species public class Phylogeny { static public void main (String args[]) { SpeciesSet ss = new SpeciesSet (); while (…not end of file…) { Species current = new Species (…name…, …genome…); ss.insert (current); } } public class SpeciesSet { private Vector els; public void insert (/*@non_null@*/ Species s) { if (getIndex (s) < 0) els.add (s); }

11 Stack Top of Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: current: Species “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: SpeciesSet.inse r t this: SpeciesSet s: Species public class Phylogeny { static public void main (String args[]) { SpeciesSet ss = new SpeciesSet (); while (…not end of file…) { Species current = new Species (…name…, …genome…); ss.insert (current); } } public class SpeciesSet { private Vector els; public void insert (/*@non_null@*/ Species s) { if (getIndex (s) < 0) els.add (s); } After els.add (s)…

12 Stack Top of Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: current: Species “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: SpeciesSet.inse r t this: SpeciesSet s: Species public class Phylogeny { static public void main (String args[]) { SpeciesSet ss = new SpeciesSet (); while (…not end of file…) { Species current = new Species (…name…, …genome…); ss.insert (current); } } public class SpeciesSet { private Vector els; public void insert (/*@non_null@*/ Species s) { if (getIndex (s) < 0) els.add (s); } SpeciesSet.insert returns…

13 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: current: Species “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: public class Phylogeny { static public void main (String args[]) { SpeciesSet ss = new SpeciesSet (); while (…not end of file…) { Species current = new Species (…name…, …genome…); ss.insert (current); } } public class SpeciesSet { private Vector els; public void insert (/*@non_null@*/ Species s) { if (getIndex (s) < 0) els.add (s); } Finish while loop… Top of Stack

14 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: public class Phylogeny { static public void main (String args[]) { SpeciesSet ss = new SpeciesSet (); while (…not end of file…) { Species current = new Species (…name…, …genome…); ss.insert (current); } } public class SpeciesSet { private Vector els; public void insert (/*@non_null@*/ Species s) { if (getIndex (s) < 0) els.add (s); } Garbage Collection Top of Stack

15 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack Initialize Mark and Sweeper: active = all objects on stack

16 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable (non-garbage) foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive

17 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable (non-garbage) foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive

18 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable (non-garbage) foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive

19 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable (non-garbage) foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive

20 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable (non-garbage) foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive

21 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive sweep () // remove unmarked objects on heap

22 Stack Bottom of Stack Phylogeny.mai n “Duck” “CATAG” root: Species name: genome: String[]: args ss: SpeciesSet “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: After main returns… Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive sweep () // remove unmarked objects on heap

23 Stack Bottom of Stack “Duck” “CATAG” name: genome: “in.spc” els: “Goat” “CAGTG” name: genome: “Elf” “CGGTG” name: genome: “Frog” “CGATG” name: genome: Garbage Collection Top of Stack active = all objects on stack while (!active.isEmpty ()) newactive = { } foreach (Object a in active) mark a as reachable foreach (Object o that a points to) if o is not marked newactive = newactive U { o } active = newactive sweep () // remove unmarked objects on heap

24 24 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Problems with Mark and Sweep Fragmentation: free space and alive objects will be mixed –Harder to allocate space for new objects –Poor locality means bad memory performance Caches make it quick to load nearby memory Multiple Threads –One stack per thread, one heap shared by all threads –All threads must stop for garbage collection

25 25 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Stop and Copy Solves fragmentation problem Copy all reachable objects to a new memory area After copying, reclaim the whole old heap Disadvantages: –More complicated: need to change stack and internal object pointers to new heap –Need to save enough memory to copy –Expensive if most objects are not garbage

26 26 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Generational Collectors Observation: –Many objects are short-lived Temporary objects that get garbage collected right away –Other objects are long-lived Data that lives for the duration of execution Separate storage into regions –Short term: collect frequently –Long term: collect infrequently Stop and copy, but move copies into longer-lived areas

27 27 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Java’s Garbage Collector (Sun implementation) Mark and Sweep collector Before collecting an object, it will call finalize Can call garbage collector directly: System.gc () protected void finalize() throws Throwable

28 28 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Reference Counting What if each object kept track of the number of references to it? If an object has zero references, it is garbage!

29 29 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Referencing Counting T x = new T (); The x object has one reference y = x; The object x references has 1 more ref The object y pre references has 1 less ref }Leave scope where x is declared The object x references has 1 less ref

30 30 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Reference Counting class Recycle { private String name; private Vector pals; public Recycle (String name) { this.name = name; pals = new Vector (); } public void addPal (Recycle r) { pals.addElement (r); } } public class Garbage { static public void main (String args[]) { Recycle alice = new Recycle ("alice"); Recycle bob = new Recycle ("bob"); bob.addPal (alice); alice = new Recycle ("coleen"); bob = new Recycle ("dave"); } “Alice” name: pals: refs: 1 “Bob” name: pals: refs: 1 2

31 31 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Reference Counting class Recycle { private String name; private Vector pals; public Recycle (String name) { this.name = name; pals = new Vector (); } public void addPal (Recycle r) { pals.addElement (r); } } public class Garbage { static public void main (String args[]) { Recycle alice = new Recycle ("alice"); Recycle bob = new Recycle ("bob"); bob.addPal (alice); alice = new Recycle ("coleen"); bob = new Recycle ("dave"); } “Alice” name: pals: refs: 1 “Bob” name: pals: refs: 1 2 “Coleen” name: pals: refs: 1

32 32 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Reference Counting class Recycle { private String name; private Vector pals; public Recycle (String name) { this.name = name; pals = new Vector (); } public void addPal (Recycle r) { pals.addElement (r); } } public class Garbage { static public void main (String args[]) { Recycle alice = new Recycle ("alice"); Recycle bob = new Recycle ("bob"); bob.addPal (alice); alice = new Recycle ("coleen"); bob = new Recycle ("dave"); } “Alice” name: pals: refs: 1 “Bob” name: pals: refs: 1 0 0

33 33 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Python’s Implementation Automatic reference counting to manage objects...but optional additional garbage collector (we’ll see why soon)

34 34 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management app1 static int app1(PyListObject *self, PyObject *v) { Py_ssize_t n = PyList_GET_SIZE(self); assert (v != NULL); if (n == INT_MAX) { PyErr_SetString(PyExc_OverflowError, "cannot add more objects to list"); return -1; } if (list_resize(self, n+1) == -1) return -1; Py_INCREF(v); PyList_SET_ITEM(self, n, v); return 0; }

35 35 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Python Objects #define _Py_NewReference(op) ( \ (op)->ob_refcnt = 1) #define Py_INCREF(op) ( \ (op)->ob_refcnt++) #define Py_DECREF(op) \ if (--(op)->ob_refcnt != 0) \ _Py_CHECK_REFCNT(op) \ else \ _Py_Dealloc((PyObject *)(op)) Note: I have removed some debugging macros from these. #define _Py_CHECK_REFCNT(OP) \ { if ((OP)->ob_refcnt < 0) \ _Py_NegativeRefcount(__FILE__, __LINE__, \ (PyObject *)(OP)); }

36 36 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management list_dealloc static void list_dealloc(PyListObject *op) { Py_ssize_t i; PyObject_GC_UnTrack(op); Py_TRASHCAN_SAFE_BEGIN(op) if (op->ob_item != NULL) { /* Do it backwards, for Christian Tismer. There's a simple test case where somehow this reduces thrashing when a *very* large list is created and immediately deleted. */ i = op->ob_size; while (--i >= 0) { Py_XDECREF(op->ob_item[i]); } PyMem_FREE(op->ob_item); } if (num_free_lists < MAXFREELISTS && PyList_CheckExact(op)) free_lists[num_free_lists++] = op; else op->ob_type->tp_free((PyObject *)op); Py_TRASHCAN_SAFE_END(op) }

37 37 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Can reference counting ever fail to reclaim unreachable storage?

38 38 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Circular References class Recycle { private String name; private Vector pals; public Recycle (String name) { this.name = name; pals = new Vector (); } public void addPal (Recycle r) { pals.addElement (r); } } public class Garbage { static public void main (String args[]) { Recycle alice = new Recycle ("alice"); Recycle bob = new Recycle ("bob"); bob.addPal (alice); alice.addPal (bob); alice = null; bob = null; } “Alice” name: pals: refs: 1 “Bob” name: pals: refs: 1 2 2

39 39 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Reference Counting Summary Advantages –Can clean up garbage right away when the last reference is lost –No need to stop other threads! Disadvantages –Need to store and maintain reference count –Some garbage is left to fester (circular references) –Memory fragmentation

40 40 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Python has both! Reference counting: –To quickly reclaim most storage Garbage collector (optional, but on by default): –To collect circular references

41 41 UVa CS216 Spring 2006 - Lecture 12: Automating Memory Management Charge In Java: be happy you have a garbage collector to clean up for you In Python: by happy you have a reference counter managing your objects (but worry it might miss things!) In C: –Why is it hard to write a garbage collector for C? Return Exam 1


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