Dynamic Memory Management Jennifer Rexford 1. 2 Goals of this Lecture Dynamic memory management techniques Garbage collection by the run-time system (Java)

Slides:



Advertisements
Similar presentations
Dynamic Memory Management
Advertisements

Carnegie Mellon 1 Dynamic Memory Allocation: Basic Concepts : Introduction to Computer Systems 17 th Lecture, Oct. 21, 2010 Instructors: Randy Bryant.
Dynamic Memory Allocation I Topics Simple explicit allocators Data structures Mechanisms Policies CS 105 Tour of the Black Holes of Computing.
Dynamic Memory Allocation I Topics Basic representation and alignment (mainly for static memory allocation, main concepts carry over to dynamic memory.
Chris Riesbeck, Fall 2007 Dynamic Memory Allocation Today Dynamic memory allocation – mechanisms & policies Memory bugs.
Lecture 10: Heap Management CS 540 GMU Spring 2009.
5. Memory Management From: Chapter 5, Modern Compiler Design, by Dick Grunt et al.
Dynamic Memory Allocation I October 16, 2008 Topics Simple explicit allocators Data structures Mechanisms Policies lecture-15.ppt “The course that.
1 Memory Allocation Professor Jennifer Rexford COS 217.
Week 7 - Friday.  What did we talk about last time?  Allocating 2D arrays.
1 Optimizing Malloc and Free Professor Jennifer Rexford COS 217 Reading: Section 8.7 in K&R book
CS 326 Programming Languages, Concepts and Implementation Instructor: Mircea Nicolescu Lecture 18.
CPSC 388 – Compiler Design and Construction
1 1 Lecture 4 Structure – Array, Records and Alignment Memory- How to allocate memory to speed up operation Structure – Array, Records and Alignment Memory-
Memory Management Memory Areas and their use Memory Manager Tasks:
Dynamic Memory Allocation I Nov 5, 2002 Topics Simple explicit allocators Data structures Mechanisms Policies class21.ppt “The course that gives.
1 Optimizing Malloc and Free Professor Jennifer Rexford
CS61C L06 C Memory Management (1) Garcia, Spring 2008 © UCB Lecturer SOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C :
Dynamic Memory Allocation I November 1, 2006 Topics Simple explicit allocators Data structures Mechanisms Policies class18.ppt “The course that.
C and Data Structures Baojian Hua
CS61C L06 C Memory Management (1) Garcia, Fall 2006 © UCB Lecturer SOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine.
Thrashing and Memory Management
Linked lists and memory allocation Prof. Noah Snavely CS1114
1 Inner Workings of Malloc and Free Professor Jennifer Rexford COS 217.
Memory Layout C and Data Structures Baojian Hua
1 Dynamic Memory Management. 2 What’s worse?  50% of instructions/data are cache misses (fetched from RAM)  1% of instructions/data are page faults.
The memory allocation problem Define the memory allocation problem Memory organization and memory allocation schemes.
COP4020 Programming Languages
Dynamic Memory Allocation Questions answered in this lecture: When is a stack appropriate? When is a heap? What are best-fit, first-fit, worst-fit, and.
University of Washington Today Lab 5 out  Puts a *lot* together: pointers, debugging, C, etc.
University of Washington Today Finished up virtual memory On to memory allocation Lab 3 grades up HW 4 up later today. Lab 5 out (this afternoon): time.
1 Dynamic Memory Allocation –The need –malloc/free –Memory Leaks –Dangling Pointers and Garbage Collection Today’s Material.
1 Memory Management Basics. 2 Program P Basic Memory Management Concepts Address spaces Physical address space — The address space supported by the hardware.
1 Advanced Memory Management Techniques  static vs. dynamic kernel memory allocation  resource map allocation  power-of-two free list allocation  buddy.
1 Dynamic Memory Allocation: Basic Concepts. 2 Today Basic concepts Implicit free lists.
11/26/2015IT 3271 Memory Management (Ch 14) n Dynamic memory allocation Language systems provide an important hidden player: Runtime memory manager – Activation.
Chapter 17 Free-Space Management Chien-Chung Shen CIS, UD
CS 241 Discussion Section (11/17/2011). Outline Review of MP7 MP8 Overview Simple Code Examples (Bad before the Good) Theory behind MP8.
1 Lecture07: Memory Model 5/2/2012 Slides modified from Yin Lou, Cornell CS2022: Introduction to C.
Consider Starting with 160 k of memory do: Starting with 160 k of memory do: Allocate p1 (50 k) Allocate p1 (50 k) Allocate p2 (30 k) Allocate p2 (30 k)
Dynamic Memory Allocation II
Carnegie Mellon 1 Bryant and O’Hallaron, Computer Systems: A Programmer’s Perspective, Third Edition Dynamic Memory Allocation: Basic Concepts :
Dynamic Memory Allocation April 9, 2002 Topics Simple explicit allocators Data structures Mechanisms Policies Reading: 10.9 Problems: and class21.ppt.
LECTURE 13 Names, Scopes, and Bindings: Memory Management Schemes.
CS 241 Discussion Section (12/1/2011). Tradeoffs When do you: – Expand Increase total memory usage – Split Make smaller chunks (avoid internal fragmentation)
Lecture 7 Page 1 CS 111 Summer 2013 Dynamic Domain Allocation A concept covered in a previous lecture We’ll just review it here Domains are regions of.
CSE 351 Dynamic Memory Allocation 1. Dynamic Memory Dynamic memory is memory that is “requested” at run- time Solves two fundamental dilemmas: How can.
CS61C L05 C Memory Management (1) Chae, Summer 2008 © UCB Albert Chae Instructor inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 5 – C.
Memory Management What if pgm mem > main mem ?. Memory Management What if pgm mem > main mem ? Overlays – program controlled.
CSC 533: Programming Languages Spring 2016
Chapter 17 Free-Space Management
Instructor: Phil Gibbons
Section 10: Memory Allocation Topics
Memory Management Memory Areas and their use Memory Manager Tasks:
CSC 533: Programming Languages Spring 2015
Dynamic Memory Allocation
Memory Management Memory Areas and their use Memory Manager Tasks:
Dynamic Memory Allocation: Basic Concepts CS220: Computer Systems II
The Hardware/Software Interface CSE351 Winter 2013
Optimizing Malloc and Free
Lecturer SOE Dan Garcia
Memory Allocation CS 217.
Dynamic Memory Allocation I
Dynamic Memory Allocation: Basic Concepts /18-213/14-513/15-513: Introduction to Computer Systems 19th Lecture, October 30, 2018.
Optimizing Dynamic Memory Management
Dynamic Memory Allocation November 2, 2000
Dynamic Memory Allocation: Basic Concepts CSCI 380: Operating Systems
Memory Management Memory Areas and their use Memory Manager Tasks:
CSC 533: Programming Languages Spring 2019
Presentation transcript:

Dynamic Memory Management Jennifer Rexford 1

2 Goals of this Lecture Dynamic memory management techniques Garbage collection by the run-time system (Java) Manual de-allocation by the programmer (C, C++) Design decisions for the “K&R” heap manager Circular linked-list of free blocks with a “first fit” allocation Coalescing of adjacent blocks to create larger blocks

3 Part 1: What do malloc() and free() do?

4 Memory Layout: Heap char* string = "hello"; int iSize; char* f() { char* p; scanf("%d", &iSize); p = malloc(iSize); return p; } Text BSS Stack Heap Needed when required memory size is not known before the program runs RoData Data

5 Allocating & Deallocating Memory Dynamically allocating memory Programmer explicitly requests space in memory Space is allocated dynamically on the heap E.g., using “malloc” in C, and “new” in Java Dynamically deallocating memory Must reclaim or recycle memory that is never used again To avoid (eventually) running out of memory “Garbage” Allocated block in heap that will not be accessed again Can be reclaimed for later use by the program

6 Option #1: Garbage Collection Run-time system does garbage collection (Java) Automatically determines objects that can’t be accessed And then reclaims the resources used by these objects Object x = new Foo(); Object y = new Bar(); x = new Quux(); if (x.check_something()) { x.do_something(y); } System.exit(0); Object Foo() is never used again!

7 Challenges of Garbage Collection Detecting the garbage is not always easy “if (complex_function(y)) x = Quux();” Run-time system cannot collect all of the garbage Detecting the garbage introduces overhead Keeping track of references to objects (e.g., counter) Scanning through accessible objects to identify garbage Sometimes walking through a large amount of memory Cleaning the garbage leads to bursty delays E.g., periodic scans of the objects to hunt for garbage Leading to unpredictable “freeze” of the running program Very problematic for real-time applications … though good run-time systems avoid long freezes

8 Option #2: Manual Deallocation Programmer deallocates the memory (C and C++) Manually determines which objects can’t be accessed And then explicitly returns the resources to the heap E.g., using “free” in C or “delete” in C++ Advantages Lower overhead No unexpected “pauses” More efficient use of memory Disadvantages More complex for the programmer Subtle memory-related bugs Security vulnerabilities in the (buggy) code

9 Manual Deallocation Can Lead to Bugs Dangling pointers Programmer frees a region of memory … but still has a pointer to it Dereferencing pointer reads or writes nonsense values int main(void) { char *p; p = malloc(10); … free(p); … putchar(*p); } May print nonsense character.

10 Manual Deallocation Can Lead to Bugs Memory leak Programmer neglects to free unused region of memory So, the space can never be allocated again Eventually may consume all of the available memory void f(void) { char *s; s = malloc(50); return; } int main(void) { while (1) f(); return 0; } Eventually, malloc() returns NULL

11 Manual Deallocation Can Lead to Bugs Double free Programmer mistakenly frees a region more than once Leading to corruption of the heap data structure … or premature destruction of a different object int main(void) { char *p, *q; p = malloc(10); … free(p); q = malloc(10); free(p); … } Might free the space allocated to q !

12 malloc() and free() Challenges malloc() may ask for arbitrary number of bytes Memory may be allocated & freed in different order Cannot reorder requests to improve performance char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5);

13 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1

14 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p2

15 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p2 p3

16 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p2 p3

17 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p2 p3 p4

18 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p2 p3 p4

19 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p5, p2 p3 p4

20 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p5, p2 p3 p4

21 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p5, p2 p3 p4

22 Heap: Dynamic Memory #include void *malloc(size_t size); void free(void *ptr); 0 0xffffffff Stack } Heap char *p1 = malloc(3); char *p2 = malloc(1); char *p3 = malloc(4); free(p2); char *p4 = malloc(6); free(p3); char *p5 = malloc(2); free(p1); free(p4); free(p5); p1 p5, p2 p3 p4

23 Part 2: How do malloc() and free() work?

24 The Program Break The program break marks the boundary between heap and stack Initially, stack has maximum size Stack Heap FFFFFFFF program break Stack FFFFFFFF program break

25 Acquiring Heap Memory Q: How does malloc() acquire heap memory? A: Moves program break downward via sbrk() or brk() system call void *sbrk(intptr_t increment); Increment the program break by the specified amount. Calling the function with an increment of 0 returns the current location of the program break. Return 0 if successful and -1 otherwise. Beware: On Linux contains a known bug; should call only with argument 0. int brk(void *newBreak); Move the program break to the specified address. Return 0 if successful and -1 otherwise.

26 Using Heap Memory Q: Having acquired heap memory, how do malloc() and free() manipulate it? A: Topic of much research; an introduction…

27 Goals for malloc() and free() Maximizing throughput Maximize number of requests completed per unit time Need both malloc() and free() to be fast Maximizing memory utilization Minimize the amount of wasted memory Need to minimize size of data structures Strawman #1: free() does nothing Good throughput, but poor memory utilization Strawman #2: malloc() finds the “best fit” Good memory utilization, but poor throughput

28 Keeping Track of Free Blocks Maintain a list of free blocks of memory Allocate memory from one of the blocks in the free list Deallocate memory by returning the block to the free list When necessary, call brk() to ask OS for additional memory, and create a new large block Design questions How to keep track of the free blocks in memory? How to choose an appropriate free block to allocate? What to do with the left-over space in a free block? What to do with a block that has just been freed? free

29 Need to Minimize Fragmentation Internal fragmentation Allocated block is larger than malloc() requested E.g., malloc() imposes a minimum size (e.g., 64 bytes) External fragmentation Enough free memory exists, but no block is big enough E.g., malloc() asks for 128 contiguous bytes 64 33

30 Simple “K&R-Like” Approach Memory allocated in multiples of a base size E.g., 16 bytes, 32 bytes, 48 bytes, … Linked list of free blocks malloc() and free() walk through the list to allocate and deallocate malloc() allocates the first big-enough block To avoid sequencing further through the list malloc() splits the free block To allocate what is needed, and leave the rest available Linked list is circular To be able to continue where you left off Linked list in the order the blocks appear in memory To be able to “coalesce” neighboring free blocks

31 Allocate Memory in Multiples of Base Size Allocate memory in multiples of a base size Avoid maintaining very tiny free blocks Align memory on size of largest data type (e.g., double) Requested size is “rounded up” Allocation in units of base_size Round: (nbytes + base_size – 1)/base_size Example: Suppose nbytes is 37 And base_size is 16 bytes Then ( – 1)/16 is 52/16 which rounds down to

32 Linked List of Free Blocks Linked list of free blocks malloc() allocates a big-enough block free() adds newly-freed block to the list Allocated Newly freed

33 “First-Fit” Allocation Handling a request for memory (e.g., malloc() ) Find a free block that satisfies the request Must have a “size” that is big enough, or bigger Simplest approach: first fit Sequence through the linked list Stop upon encountering a “big enough” free block Example: request for 64 bytes First-fit algorithm stops at the 128-byte block

34 Splitting an Oversized Free Block Simple case: perfect fit malloc() asks for 128 bytes, free block has 128 bytes Simply remove the free block from the list Complex case: splitting the block malloc() asks for 64 bytes, free block has 128 bytes

35 Circular Linked List of Free Blocks Advantages of making free list a circular list Any element in the list can be the beginning Don’t have to handle the “end” of the list as special Performance optimization Make the head be where last block was found More likely to find “big enough” blocks later in the list new head

36 Maintaining Free Blocks in Order Keep list in order of increasing addresses Makes it easier to coalesce adjacent free blocks Though, makes calls to free() more expensive Need to insert the newly-freed block in the right place In use In use In use Free list

37 Coalescing Adjacent Free Blocks When inserting a block in the free list “Look left” and “look right” for neighboring free blocks In use In use In use In use In use “Left”“Right”

38 Conclusion Elegant simplicity of K&R malloc() and free() Simple header with pointer and size in each free block Simple circular linked list of free blocks Relatively small amount of code (~25 lines each) Limitations of K&R functions in terms of efficiency malloc() requires scanning the free list To find the first free block that is big enough free() requires scanning the free list To find the location to insert the to-be-freed block