CS61C L37 VM III (1)Garcia, Fall 2004 © UCB Lecturer PSOE Dan Garcia www.cs.berkeley.edu/~ddgarcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures.

Slides:



Advertisements
Similar presentations
Virtual Memory In this lecture, slides from lecture 16 from the course Computer Architecture ECE 201 by Professor Mike Schulte are used with permission.
Advertisements

1 Lecture 13: Cache and Virtual Memroy Review Cache optimization approaches, cache miss classification, Adapted from UCB CS252 S01.
Virtual Memory. The Limits of Physical Addressing CPU Memory A0-A31 D0-D31 “Physical addresses” of memory locations Data All programs share one address.
COMP 3221: Microprocessors and Embedded Systems Lectures 27: Virtual Memory - III Lecturer: Hui Wu Session 2, 2005 Modified.
Virtual Memory Adapted from lecture notes of Dr. Patterson and Dr. Kubiatowicz of UC Berkeley.
CS61C L35 VM I (1) Garcia © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture.
Lecturer PSOE Dan Garcia
CS61C L34 Virtual Memory I (1) Garcia, Spring 2007 © UCB 3D chips from IBM  IBM claims to have found a way to build 3D chips by stacking them together.
Chap. 7.4: Virtual Memory. CS61C L35 VM I (2) Garcia © UCB Review: Caches Cache design choices: size of cache: speed v. capacity direct-mapped v. associative.
CS 61C L24 VM II (1) Garcia, Spring 2004 © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures.
Virtual Memory Adapted from lecture notes of Dr. Patterson and Dr. Kubiatowicz of UC Berkeley and Rabi Mahapatra & Hank Walker.
Inst.eecs.berkeley.edu/~cs61c UCB CS61C : Machine Structures Lecture 34 – Virtual Memory II Jim Cicconi of AT&T says that the surge of video.
CS61C L25 Review Cache © UC Regents 1 CS61C - Machine Structures Lecture 25 - Review Cache/VM December 2, 2000 David Patterson
S.1 Review: The Memory Hierarchy Increasing distance from the processor in access time L1$ L2$ Main Memory Secondary Memory Processor (Relative) size of.
CS 61C L24 VM II (1) A Carle, Summer 2005 © UCB inst.eecs.berkeley.edu/~cs61c/su05 CS61C : Machine Structures Lecture #24: VM II Andy Carle.
CS61C L25 Virtual Memory I (1) Beamer, Summer 2007 © UCB Scott Beamer, Instructor inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture #25.
COMP 3221: Microprocessors and Embedded Systems Lectures 27: Virtual Memory - II Lecturer: Hui Wu Session 2, 2005 Modified.
The Memory Hierarchy II CPSC 321 Andreas Klappenecker.
CS 61C L35 Caches IV / VM I (1) Garcia, Fall 2004 © UCB Andy Carle inst.eecs.berkeley.edu/~cs61c-ta inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures.
CS 61C L25 VM III (1) Garcia, Spring 2004 © UCB TA Chema González www-inst.eecs/~cs61c-td inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture.
CS61C L35 Virtual Memory II (1) Garcia, Spring 2007 © UCB Hardware repair?!  This technology allows you to “patch” your hardware after it has been installed.
Inst.eecs.berkeley.edu/~cs61c UCB CS61C : Machine Structures Lecture 35 – Virtual Memory III Researchers at three locations have recently added.
CS61C L34 Virtual Memory II (1) Garcia, Fall 2006 © UCB Lecturer SOE Dan Garcia inst.eecs.berkeley.edu/~cs61c UC Berkeley.
CS61C L26 Virtual Memory II (1) Beamer, Summer 2007 © UCB Scott Beamer, Instructor inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture #26.
CS61C L36 VM II (1) Garcia, Fall 2004 © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures.
CS61C L33 Virtual Memory I (1) Garcia, Fall 2006 © UCB Lecturer SOE Dan Garcia inst.eecs.berkeley.edu/~cs61c UC Berkeley.
©UCB CS 162 Ch 7: Virtual Memory LECTURE 13 Instructor: L.N. Bhuyan
Inst.eecs.berkeley.edu/~cs61c UCB CS61C : Machine Structures Lecture 33 – Virtual Memory I OCZ has released a 1 TB solid state drive (the biggest.
CS 61C: Great Ideas in Computer Architecture
CS 61C L23 Caches IV / VM I (1) Garcia, Spring 2004 © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C :
Inst.eecs.berkeley.edu/~cs61c UCB CS61C : Machine Structures Lecture 34 – Virtual Memory II Researchers at Stanford have developed “nanoscale.
©UCB CS 161 Ch 7: Memory Hierarchy LECTURE 24 Instructor: L.N. Bhuyan
COMP3221 lec37-vm-II.1 Saeid Nooshabadi COMP 3221 Microprocessors and Embedded Systems Lectures 13: Virtual Memory - II
11/10/2005Comp 120 Fall November 10 8 classes to go! questions to me –Topics you would like covered –Things you don’t understand –Suggestions.
CS 61C L7.1.2 VM II (1) K. Meinz, Summer 2004 © UCB CS61C : Machine Structures Lecture VM II Kurt Meinz inst.eecs.berkeley.edu/~cs61c.
Lecture 19: Virtual Memory
Instructor: Dan Garcia 1 CS 61C: Great Ideas in Computer Architecture Virtual Memory III.
Virtual Memory Part 1 Li-Shiuan Peh Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology May 2, 2012L22-1
1 Virtual Memory Main memory can act as a cache for the secondary storage (disk) Advantages: –illusion of having more physical memory –program relocation.
1  1998 Morgan Kaufmann Publishers Recap: Memory Hierarchy of a Modern Computer System By taking advantage of the principle of locality: –Present the.
Inst.eecs.berkeley.edu/~cs61c UCB CS61C : Machine Structures Lecture 35 – Virtual Memory III ”The severity of the decline in the market is further evidence.
Virtual Memory. Virtual Memory: Topics Why virtual memory? Virtual to physical address translation Page Table Translation Lookaside Buffer (TLB)
Review (1/2) °Caches are NOT mandatory: Processor performs arithmetic Memory stores data Caches simply make data transfers go faster °Each level of memory.
Virtual Memory Additional Slides Slide Source: Topics Address translation Accelerating translation with TLBs class12.ppt.
Review °Apply Principle of Locality Recursively °Manage memory to disk? Treat as cache Included protection as bonus, now critical Use Page Table of mappings.
Multilevel Caches Microprocessors are getting faster and including a small high speed cache on the same chip.
1 Chapter Seven CACHE MEMORY AND VIRTUAL MEMORY. 2 SRAM: –value is stored on a pair of inverting gates –very fast but takes up more space than DRAM (4.
Csci 136 Computer Architecture II – Virtual Memory
1 Appendix C. Review of Memory Hierarchy Introduction Cache ABCs Cache Performance Write policy Virtual Memory and TLB.
LECTURE 12 Virtual Memory. VIRTUAL MEMORY Just as a cache can provide fast, easy access to recently-used code and data, main memory acts as a “cache”
CS161 – Design and Architecture of Computer
Lecturer PSOE Dan Garcia
Lecture 11 Virtual Memory
Memory Hierarchy Ideal memory is fast, large, and inexpensive
Virtual Memory Chapter 7.4.
ECE232: Hardware Organization and Design
CS161 – Design and Architecture of Computer
Lecture 12 Virtual Memory.
CS 704 Advanced Computer Architecture
Memory Hierarchy Virtual Memory, Address Translation
Morgan Kaufmann Publishers
There is one handout today at the front and back of the room!
Guest Lecturer: Justin Hsia
Lecture 14 Virtual Memory and the Alpha Memory Hierarchy
Csci 211 Computer System Architecture – Review on Virtual Memory
Virtual Memory 4 classes to go! Today: Virtual Memory.
Some of the slides are adopted from David Patterson (UCB)
Morgan Kaufmann Publishers Memory Hierarchy: Virtual Memory
CSC3050 – Computer Architecture
Albert Chae, Instructor
Presentation transcript:

CS61C L37 VM III (1)Garcia, Fall 2004 © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 37 VM III #4 Bears crush Stanford  This 230mph electric car accelerates faster than a Porsche 911 Turbo and goes 200 miles on a single charge! Wow! eliica.com

CS61C L37 VM III (2)Garcia, Fall 2004 © UCB Peer Instruction Correction °A direct-mapped $ will never out-perform a 2- way set-associative $ of the same size. I said “TRUE … increased associativity!” Right Answer “FALSE … consider the following” -We have 4 byte cache, block size = 1 byte. Compare a 2-way set-associative cache (2 sets using LRU replacement) with a direct mapped cache (four rows). direct mapped 2-way set asso- ciative Empty Empty LRU=0, Miss Load 0 Miss Load 2 Hit!Miss Load 4 Hit Miss, Load 0, LRU=1,2 Miss, Load 2 LRU=0,2 Hit! LRU=1,2 Miss, Load 4 LRU=0,2 Miss, Load 2 LRU=1, time

CS61C L37 VM III (3)Garcia, Fall 2004 © UCB Peer Instruction 1. Increasing at least one of {associativity, block size} always a win 2. Higher DRAM bandwidth translates to a lower miss rate 3. DRAM access time improves roughly as fast as density ABC 1: FFF 2: FFT 3: FTF 4: FTT 5: TFF 6: TFT 7: TTF 8: TTT

CS61C L37 VM III (4)Garcia, Fall 2004 © UCB Peer Instruction Answers 1. Increasing at least one of {associativity, block size} is always a win 2. Higher DRAM bandwidth translates to a lower miss rate 3. DRAM access time improves roughly as fast as density F A L S E 1. Assoc. may increase access time, block may increase miss penalty 2. No, a lower miss penalty 3. No, access = 9%/year, but density = 2x every 2 yrs! F A L S E ABC 1: FFF 2: FFT 3: FTF 4: FTT 5: TFF 6: TFT 7: TTF 8: TTT

CS61C L37 VM III (5)Garcia, Fall 2004 © UCB Address Translation & 3 Concept tests PPNOffset Physical Address VPNOffset Virtual Address INDEX TLB Physical Page Number P. P. N.... V. P. N. Virtual Page Number V. P. N. TAGOffsetINDEX Data Cache Tag Data

CS61C L37 VM III (6)Garcia, Fall 2004 © UCB Peer Instruction (1/3) °40-bit virtual address, 16 KB page °36-bit physical address °Number of bits in Virtual Page Number/ Page offset, Physical Page Number/Page offset? Page Offset (? bits)Virtual Page Number (? bits) Page Offset (? bits)Physical Page Number (? bits) 1: 22/18 (VPN/PO), 22/14 (PPN/PO) 2: 24/16, 20/16 3: 26/14, 22/14 4: 26/14, 26/10 5: 28/12, 24/12

CS61C L37 VM III (7)Garcia, Fall 2004 © UCB Peer Instruction (1/3) Answer °40- bit virtual address, 16 KB (2 14 B) °36- bit virtual address, 16 KB (2 14 B) °Number of bits in Virtual Page Number/ Page offset, Physical Page Number/Page offset? Page Offset (14 bits)Virtual Page Number (26 bits) Page Offset (14 bits)Physical Page Number (22 bits) 1: 22/18 (VPN/PO), 22/14 (PPN/PO) 2: 24/16, 20/16 3: 26/14, 22/14 4: 26/14, 26/10 5: 28/12, 24/12

CS61C L37 VM III (8)Garcia, Fall 2004 © UCB Peer Instruction (2/3): 40b VA, 36b PA °2-way set-assoc. TLB, 256 “slots”, 40b VA: °TLB Entry: Valid bit, Dirty bit, Access Control (say 2 bits), Virtual Page Number, Physical Page Number °Number of bits in TLB Tag / Index / Entry? Page Offset (14 bits)TLB Index (? bits)TLB Tag (? bits) VD Access (2 bits)Physical Page No. (? bits) 1: 12 / 14 / 38 (TLB Tag / Index / Entry) 2: 14 / 12 / 40 3: 18 / 8 / 44 4: 18 / 8 / 58

CS61C L37 VM III (9)Garcia, Fall 2004 © UCB Peer Instruction (2/3) Answer °2-way set-assoc data cache, 256 (2 8 ) “slots”, 2 TLB entries per slot => 8 bit index °TLB Entry: Valid bit, Dirty bit, Access Control (2 bits), Virtual Page Number, Physical Page Number Page Offset (14 bits) Virtual Page Number (26 bits) TLB Index (8 bits)TLB Tag (18 bits) VD Access (2 bits)Physical Page No. (22 bits) 1: 12 / 14 / 38 (TLB Tag / Index / Entry) 2: 14 / 12 / 40 3: 18 / 8 / 44 4: 18 / 8 / 58

CS61C L37 VM III (10)Garcia, Fall 2004 © UCB Peer Instruction (3/3) °2-way set-assoc, 64KB data cache, 64B block °Data Cache Entry: Valid bit, Dirty bit, Cache tag + ? bits of Data °Number of bits in Data cache Tag / Index / Offset / Entry? Block Offset (? bits) Physical Page Address (36 bits) Cache Index (? bits)Cache Tag (? bits) VD Cache Data (? bits) 1: 12 / 9 / 14 / 87 (Tag/Index/Offset/Entry) 2: 20 / 10 / 6 / 86 3: 20 / 10 / 6 / 534 4: 21 / 9 / 6 / 87 5: 21 / 9 / 6 / 535

CS61C L37 VM III (11)Garcia, Fall 2004 © UCB Peer Instruction (3/3) Answer °2-way set-assoc data cache, 64K/1K (2 10 ) “slots”, 2 entries per slot => 9 bit index °Data Cache Entry: Valid bit, Dirty bit, Cache tag + 64 Bytes of Data Block Offset (6 bits) Physical Page Address (36 bits) Cache Index (9 bits)Cache Tag (21 bits) VD Cache Data (64 Bytes/ 512 bits) 1: 12 / 9 / 14 / 87 (Tag/Index/Offset/Entry) 2: 20 / 10 / 6 / 86 3: 20 / 10 / 6 / 534 4: 21 / 9 / 6 / 87 5: 21 / 9 / 6 / 535

CS61C L37 VM III (12)Garcia, Fall 2004 © UCB 4 Qs for any Memory Hierarchy °Q1: Where can a block be placed? One place (direct mapped) A few places (set associative) Any place (fully associative) °Q2: How is a block found? Indexing (as in a direct-mapped cache) Limited search (as in a set-associative cache) Full search (as in a fully associative cache) Separate lookup table (as in a page table) °Q3: Which block is replaced on a miss? Least recently used (LRU) Random °Q4: How are writes handled? Write through (Level never inconsistent w/lower) Write back (Could be “dirty”, must have dirty bit)

CS61C L37 VM III (13)Garcia, Fall 2004 © UCB °Block 12 placed in 8 block cache: Fully associative Direct mapped 2-way set associative -Set Associative Mapping = Block # Mod # of Sets Block no. Fully associative: block 12 can go anywhere Block no. Direct mapped: block 12 can go only into block 4 (12 mod 8) Block no. Set associative: block 12 can go anywhere in set 0 (12 mod 4) Set 0 Set 1 Set 2 Set 3 Q1: Where block placed in upper level?

CS61C L37 VM III (14)Garcia, Fall 2004 © UCB °Direct indexing (using index and block offset), tag compares, or combination °Increasing associativity shrinks index, expands tag Block offset Block Address Tag Index Q2: How is a block found in upper level? Set Select Data Select

CS61C L37 VM III (15)Garcia, Fall 2004 © UCB °Easy for Direct Mapped °Set Associative or Fully Associative: Random LRU (Least Recently Used) Miss Rates Associativity:2-way 4-way 8-way SizeLRU Ran LRU Ran LRU Ran 16 KB5.2%5.7% 4.7%5.3% 4.4%5.0% 64 KB1.9%2.0% 1.5%1.7% 1.4%1.5% 256 KB1.15%1.17% 1.13% 1.13% 1.12% 1.12% Q3: Which block replaced on a miss?

CS61C L37 VM III (16)Garcia, Fall 2004 © UCB Q4: What to do on a write hit? °Write-through update the word in cache block and corresponding word in memory °Write-back update word in cache block allow memory word to be “stale” => add ‘dirty’ bit to each line indicating that memory be updated when block is replaced => OS flushes cache before I/O !!! °Performance trade-offs? WT: read misses cannot result in writes WB: no writes of repeated writes

CS61C L37 VM III (17)Garcia, Fall 2004 © UCB Three Advantages of Virtual Memory 1) Translation: Program can be given consistent view of memory, even though physical memory is scrambled Makes multiple processes reasonable Only the most important part of program (“Working Set”) must be in physical memory Contiguous structures (like stacks) use only as much physical memory as necessary yet still grow later

CS61C L37 VM III (18)Garcia, Fall 2004 © UCB Three Advantages of Virtual Memory 2) Protection: Different processes protected from each other Different pages can be given special behavior - (Read Only, Invisible to user programs, etc). Kernel data protected from User programs Very important for protection from malicious programs  Far more “viruses” under Microsoft Windows Special Mode in processor (“Kernel more”) allows processor to change page table/TLB 3) Sharing: Can map same physical page to multiple users (“Shared memory”)

CS61C L37 VM III (19)Garcia, Fall 2004 © UCB Why Translation Lookaside Buffer (TLB)? °Paging is most popular implementation of virtual memory (vs. base/bounds) °Every paged virtual memory access must be checked against Entry of Page Table in memory to provide protection °Cache of Page Table Entries (TLB) makes address translation possible without memory access in common case to make fast

CS61C L37 VM III (20)Garcia, Fall 2004 © UCB Bonus slide: Virtual Memory Overview (1/4) °User program view of memory: Contiguous Start from some set address Infinitely large Is the only running program °Reality: Non-contiguous Start wherever available memory is Finite size Many programs running at a time

CS61C L37 VM III (21)Garcia, Fall 2004 © UCB Bonus slide: Virtual Memory Overview (2/4) °Virtual memory provides: illusion of contiguous memory all programs starting at same set address illusion of ~ infinite memory (2 32 or 2 64 bytes) protection

CS61C L37 VM III (22)Garcia, Fall 2004 © UCB Bonus slide: Virtual Memory Overview (3/4) °Implementation: Divide memory into “chunks” (pages) Operating system controls page table that maps virtual addresses into physical addresses Think of memory as a cache for disk TLB is a cache for the page table

CS61C L37 VM III (23)Garcia, Fall 2004 © UCB Bonus slide: Virtual Memory Overview (4/4) °Let’s say we’re fetching some data: Check TLB (input: VPN, output: PPN) -hit: fetch translation -miss: check page table (in memory) –Page table hit: fetch translation –Page table miss: page fault, fetch page from disk to memory, return translation to TLB Check cache (input: PPN, output: data) -hit: return value -miss: fetch value from memory

CS61C L37 VM III (24)Garcia, Fall 2004 © UCB Address Map, Mathematically V = {0, 1,..., n - 1} virtual address space (n > m) M = {0, 1,..., m - 1} physical address space MAP: V --> M U {  } address mapping function MAP(a) = a' if data at virtual address a is present in physical address a' and a' in M =  if data at virtual address a is not present in M Processor Name Space V a Addr Trans Mechanism a Main Memory a' physical address Disk OS performs this transfer OS fault handler 0 page fault

CS61C L37 VM III (25)Garcia, Fall 2004 © UCB And in Conclusion… °Virtual memory to Physical Memory Translation too slow? Add a cache of Virtual to Physical Address Translations, called a TLB °Spatial Locality means Working Set of Pages is all that must be in memory for process to run fairly well °Virtual Memory allows protected sharing of memory between processes with less swapping to disk