gc.dvi
|
|
- つねとき なかきむら
- 5 years ago
- Views:
Transcription
1 Garbage Collection ( ) (endo@logos.t.u-tokyo.ac.jp) 6 : Jan 27, Garbage Collection? 2 (1) (2) ( 1) C C++, Pascal ML Java, Perl C malloc (allocate) free ( malloc Java/C++ ML tuple record ) C ( / free) 12 ML tuple record garbage collection(gc) GC UNIX (1995 ) emacs GC Java web Java 0.5 / ( )black box GC GC ( 1) Java Sun HotSpot VM (Ver ) GC 3 generational GC (6.2 ) ( ) copying GC (4.2 ) mark-compact GC (4.3 ) -Xincgc incremental GC (6.1 ) [7] [12] zlib LZW root
2 C malloc free C++ new, malloc delete, free Java new, (GC) ML tuple record (GC) Scheme pair vector (GC) Perl (GC) Table 1: i ÕÕÖ ÕÕÖ i ÕÕÖ (GC) ˆ i ÕÕÖ Tracing GC Mark-sweep GC Reference counting Escape Analysis Region inference Linear type Copying GC Mark-compact GC + Generational GC + Incremental GC Figure 1: Tracing GC GC 2
3 global variables registers heap stack Figure 2: 2 GC Java, ML, C A B (record record ) A B ( ) return / (C malloc) 2.2 ( tuple, record...) allocate(n)( ) n allocate () n n push 3
4 f() { r = new Object(...); // s = new Object(...); // (r, s ) return r; // r } f r s r f r r r GC (C/C++ ) ML Java GC (=garbage) GC f() ( GC ) r s GC / GC GC (1) reference counting (2) tracing GC allocate+ free GC 5 free(p) p (= allocate ) free () free p allocate(n) Allocate/free fragmentation( ) allocate free coalescing( ) fragmentation: fragmentation allocate coalescing: coalescing header: header Allocate/free 40 Wilson [13] 4 GC 5 copying GC allocate 4
5 segregated free lists allocate allocate 3 Reference Counting reference counting GC reference count() a ( / /) a Reference counting a a a 0 a a b b 1 b 0 b... Reference counting a b b a a, b a b 0 ML Java tracing GC (perl ) 1 defered reference counting [4] ( / / ) ( ) (1) reference counting tracing GC (2) trace (cycle detection ) 4 Tracing GC Reference counting o o Tracing GC tracing GC reference counting 5
6 allocate ()... ( GC ) GC reference counting reference counting tracing GC allocate/free 6 6 GC 8.2 ( ) Tracing GC mark-sweep GC (4.1 ) copying GC (4.2 ) mark-compact GC (4.3 ) Tracing GC GC 3 GC GC GC GC ( ) 4.1 Mark-Sweep GC tracing GC tracing GC mark-sweep GC Java Kaffe C GC Boehm GC 1 7 GC GC 0( ) 1 GC wave front( ) 8 6 allocate GC GC allocate 400MHz Ultra SPARC 20MB live 700ms (mark-sweep ) GUI 7 GC 8 6
7 ;;; mark-phase push all roots into mark-stack while (mark-stack is not empty) o =pop(mark-stack) for i = 0 to sizeof(o) c = ith field of o if (c is pointer) and (mark-bit(c) == 0) mark-bit(c) =1 push(c, mark-stack) ;;; sweep-phase p = heap-bottom while (p <heap-top) if (mark-bit(p) ==0) free(p) p=p+sizeof(p) Figure 3: mark-sweep GC 0 ( ) free free fragmentation 4.2 Copying GC Copying GC mark sweep reference counting fragmentation Scheme ML GC ( 4) from-space to-space 10 from-space GC to-space GC 2 to-space from-space b c d to space b c 3 11 (from-space ) from-space ( ) from-space 9 Mark-sweep GC 10 2 from-space/to-space 11 ( A A ) 7
8 roots roots f e a c b GC f e a c b a c d b g d g d fromspace tospace fromspace tospace Figure 4: Copying GC From-space to-space copying GC Cheney [3] O(1)! GC ( a ) to space a 2 scanned to-space Scanned unscanned (to-space ) +sizeof(a) Scanned unscanned unscanned GC Scanned o o unscanned (o ) unscanned o scanned (o ) Scanned unscanned GC from-space d d d forwarding tag ( ) forwarding pointer( ) Copying GC Copying GC fragmentation free (2 ) mark-sweep(4.1 ) allocation allocate linear allocation free ( free ) copy GC GC ( ) 8
9 free reference counting tracing GC or Table 2: 4.3 Mark-Compact GC Mark-compact GC mark-sweep GC fragmentation Mark phase mark-sweep GC compact phase live object 2 copy GC 1 mark-sweep GC copying GC GC live mark-sweep/copying GC GC reference counting tracing GC 2 Tracing GC 1. free/reference counting GUI free Tracing GC GUI Incremental GC (6.1 ) 5.1 Copying GC v.s. free copying GC free GC free live object L, M / free 1 free M,L f 12 Copying GC GC L cl (c ) cl M/2 L M/2 L cl M L free GC ( ) L 12 GC free 9
10 memory use allocate free time Figure 5: free ( ) Free memory use allocate GC time Figure 6: Tracing GC ( ) GC 10
11 Scheme ML (M/2 L ) GC 5.2 Mark-sweep v.s. copying mark-sweep GC copying GC copying mark-sweep 1 GC live object L M mark-sweep GC ml + sm copying GC live object L cl M mark-sweep L copying mark-sweep GC lazy sweeping Lazy sweeping allocate ( ) Lazy sweeping allocate (1)GC ml (2) m c mark-sweep GC( ml) copying GC( cl) Mark-sweep GC live object read 1 () push/pop 1 copying GC read 2 write 1 m<c mark-sweep 13 1 GC mark-sweep GC(+lazy sweeping) Allocate copying GC 6 Tracing GC tracing GC incremental GC generational GC Generational mark-compact GC Incremental generational copy GC 6.1 Incremental GC: GC Incremental GC GC allocate GC mark sweep GC incremental Incremental GC GC GC... GC 13 Copy GC (mark-sweep ) 3 11
12 GC (= ) ( 5 7 ) write barrier Incremental GC GC GC GC 8 a (b, c ) a c b c (NULL ) GC b c c GC GC ( ) write barrier 14 write barrier 2 (incremental-update) a c a c (Snapshot-at-beginning) b c c 15 incremental mark sweep GC incremental copying GC mark-compact GC incremental incremental GC GC incremental GC write barrier Incremental 6.2 Generational GC: GC (*) GC ( ) Generational GC ( GC) ( 9) Copying GC from/to 2 GC GC(minor collection) Minor collection ( GC n ) ( promote ) minor collection ( ) b minor collection 14 write barrier OS (UNIX mprotect() ) write write 15 write barrier [5] 12
13 memory use allocate GC(partially) time Figure 7: Incremental GC ( ) GC roots a b c Figure 8: Incremental GC write barrier a c b c 13
14 roots b a c d e f old generation new generation Figure 9: Generational GC c d, e f GC(major collection) Generational GC Minor collection GC major collection (*) 5.1 (*) () Generational GC Minor collection c d d GC c e minor collection (incremental GC ) write barrier 7 GC finalizer, weak reference Java 7.1 Conservative GC: C GC GC ( ) C GC Boehm GC[2] ( web w3m, gcc 3.x 14
15 ) 16 C/C++ mark-sweep GC (GC malloc()) GC (conservative GC( GC) ) GC (false pointer) 17 : copying GC Copying GC update(fromspace tospace ) GC copying GC (mostly copying GC [1]) GC ( malloc ) C/C GC GC GC 2 concurrent GC: GC GC (GC allocation ) Incremental GC write barrier parallel GC: GC GC Write barrier GC parallel concurrent GC Boehm GC [6, 5] GC write barrier 7.3 GC CORBA Java RMI ( ) (remote reference) GC GC 2 reference counting: remote reference reference counting(3 ) GC tracing GC Java RMI 16 w3m ( 17 consservative GC double double word false pointer 15
16 tracing GC: tracing GC GC Shapiro [10] GC 7.4 Escape analysis ([9] ) GC GC Region inference ([11] ) tracing GC ML kit linear type ([8] ) () 1 free 8 GC 8.1 GC GC Sun Java VM -Xms( ) -Xmx( ) 8.2 GC GC 1. ( GC) 2. (conservative GC ) 3. GC (tracing GC, reference counting ) 4. (tracing GC) 5. GC (tracing GC) 6., ( GC) 7. (write barrier) (reference counting, incremental GC ) 8. (reference counting, incremental GC) 16
17 1. allocate+ free allocate header 5., 6., 7., ( ) GC 1 =16bit 1bit 1 0 ( ) 15bit 2 ( +1) ( *2) r3 r1 r2 mul r1, r2, r3 1bit mul r1, r2, r3; shr r3, 1 (, char,boolean ) 2bit 3bit ( 16bit 19 ) ( ) 1 / Tracing GC 5.() GC ( ) GC 9 GC web GC Boehm/gc/ [2] [7] Boehm conservative GC GC Paul Wilson, [12][13] / GC 18 C GC (7.1 ) 19 Java 17
18 References [1] Joel F. Bartlett. Compacting garbage collection with ambiguous roots. Technical Report 88/2, DEC Western Researach Laboraory, February [2] Hans-Juergen Boehm and Mark Weiser. Garbage collection in an uncooperative environment. Software Practice and Experience, 18(9): , [3] C. J. Cheney. A nonrecursive list compacting algorithm. Communications of the ACM, 13(11): , [4] L. Peter Deutsch and Daniel G. Bobrow. An efficient incremental automatic garbage collector. Communications of the ACM, 19(7): , July [5] Toshio Endo and Kenjiro Taura. Reducing pause time of conservative collectors. In Proceedings of ACM SIGPLAN International Symposium on Memory Management (ISMM), pages 12 24, June [6] Toshio Endo, Kenjiro Taura, and Akinori Yonezawa. A scalable mark-sweep garbage collector on large-scale shared-memory machines. In Proceedings of ACM/IEEE Conference on High Performance Networking and Computing (SC97), November [7] Richard Jones and Rafael Lins. Garbage Collection, Algorithms for Automatic Dynamic Memory Management. Wiley & Sones, ISBN [8] Naoki Kobayashi. Quasi-linear types. In Proceedings of the 26st ACM Symposium on Principles of Programming Languages, pages 29 42, [9] Y. G. Park and B. Goldberg. Escape analysis on lists. In Proceedings of ACM SIGPLAN Conference on Programming Language Design and Implementation, pages , June [10] David Plainfossé and Marc Shapiro. A survey of distributed garbage collection techniques. In Proceedings of the 1995 SIGPLAN International Workshop on Memory Management, volume 986 of Lecture Notes in Computer Science, [11] Mads Tofte and Jean-Pierre Talpin. Implementation of the typed call-by-value λ -calculus using a stack of regions. In Proceedings of the 21st ACM Symposium on Principles of Programming Languages, pages ACM, [12] Paul R. Wilson. Uniprocessor garbage collection techniques. In Proceedings of the 1992 SIGPLAN International Workshop on Memory Management, volume 637 of Lecture Notes in Computer Science, [13] Paul R. Wilson, Mark S. Johnstone, Michael Neely, and David Boles. Dynamic storage allocation: A survey and critical review. In Proceedings of the 1995 SIGPLAN International Workshop on Memory Management, volume 986 of Lecture Notes in Computer Science,
IPSJ SIG Technical Report Vol.2016-ARC-221 No /8/9 GC 1 1 GC GC GC GC DalvikVM GC 12.4% 5.7% 1. Garbage Collection: GC GC Java GC GC GC GC Dalv
GC 1 1 GC GC GC GC DalvikVM GC 12.4% 5.7% 1. Garbage Collection: GC GC Java GC GC GC GC DalvikVM[1] GC 1 Nagoya Institute of Technology GC GC 2. GC GC 2.1 GC 1 c 2016 Information Processing Society of
More informationmain.dvi
Dec. 3, 1998 http://www.jaist.ac.jp/ kaiya/ 1??...? : Java RMI http://www.jaist.ac.jp/ kaiya/ 2 ( ) [1] [2] Bertrand Meyer. The Next Software Breakthrough. COMPUTER, Vol. 30, No. 7, pp. 113 114, Jul. 1997.
More informationmaegaki_4_suzuki_yuusuke.pdf
JavaScript, ECMA262 5.1(June 2011) TC39 Conformance Suite Test262 Building modern JavaScript Engine YUSUKE SUZUKI, We implemented an engine that is fully compliant with ECMA262 5.1 (June 2011) and confirmed
More informationjssst07.dvi
24 2007 1 Java A Method to Reduce the Memory Footprint of Java VM Kiyokuni KAWACHIYA Kazunori OGATA Tamiya ONODERA IBM Research, Tokyo Research Laboratory kawatiya@jp.ibm.com Java Java 30% String char
More information1153006 JavaScript try-catch JavaScript JavaScript try-catch try-catch try-catch try-catch try-catch 1 2 2 try-catch try-catch try-catch try-catch 25 1153006 26 2 12 1 1 1 2 3 2.1... 3 2.1.1... 4 2.1.2
More informationハードウェア支援を用いた冗長なマーク処理の抑制によるGC高速化手法
GC Hardware Support for Avoiding Redundant Marking in common Garbage Collections 25 25413508 27 2 4 i GC GC GC GC GC GC GC GC GC GC GC GC GC DalvikVM GC DalvikVM ii DalvikVM GC GC GC gem5 GCBench AOBench
More informationメタコンピュータ構成方式の研究
: ( ) Internet, Computational Resources, , MPI, PVM - RPC, (ORB),, Java (JVM) Java?,, code verification & sand box Java JIT Java (JVM) : Java (, ) cf., disconnected operation - Java MobaThread.goTo( );
More informationr07.dvi
19 7 ( ) 2019.4.20 1 1.1 (data structure ( (dynamic data structure 1 malloc C free C (garbage collection GC C GC(conservative GC 2 1.2 data next p 3 5 7 9 p 3 5 7 9 p 3 5 7 9 1 1: (single linked list 1
More informationohp07.dvi
19 7 ( ) 2019.4.20 1 (data structure) ( ) (dynamic data structure) 1 malloc C free 1 (static data structure) 2 (2) C (garbage collection GC) C GC(conservative GC) 2 2 conservative GC 3 data next p 3 5
More informationJavaScript Web Web Web Web Web JavaScript Web Web JavaScript JavaScript JavaScript GC GC GC GC JavaScript SSJSVM GC SSJSVM GC GC GC SSJSVM GC GC SSJSV
27 JavaScript Design and Implementation of a Mark Sweep Garbage Collection on a Server Side JavaScript Virtual Machine 1160326 2016 2 26 JavaScript Web Web Web Web Web JavaScript Web Web JavaScript JavaScript
More informationfiš„v8.dvi
(2001) 49 2 333 343 Java Jasp 1 2 3 4 2001 4 13 2001 9 17 Java Jasp (JAva based Statistical Processor) Jasp Jasp. Java. 1. Jasp CPU 1 106 8569 4 6 7; fuji@ism.ac.jp 2 106 8569 4 6 7; nakanoj@ism.ac.jp
More information/ SCHEDULE /06/07(Tue) / Basic of Programming /06/09(Thu) / Fundamental structures /06/14(Tue) / Memory Management /06/1
I117 II I117 PROGRAMMING PRACTICE II 2 MEMORY MANAGEMENT 2 Research Center for Advanced Computing Infrastructure (RCACI) / Yasuhiro Ohara yasu@jaist.ac.jp / SCHEDULE 1. 2011/06/07(Tue) / Basic of Programming
More information,4) 1 P% P%P=2.5 5%!%! (1) = (2) l l Figure 1 A compilation flow of the proposing sampling based architecture simulation
1 1 1 1 SPEC CPU 2000 EQUAKE 1.6 50 500 A Parallelizing Compiler Cooperative Multicore Architecture Simulator with Changeover Mechanism of Simulation Modes GAKUHO TAGUCHI 1 YOUICHI ABE 1 KEIJI KIMURA 1
More informationIntroduction Purpose This training course demonstrates the use of the High-performance Embedded Workshop (HEW), a key tool for developing software for
Introduction Purpose This training course demonstrates the use of the High-performance Embedded Workshop (HEW), a key tool for developing software for embedded systems that use microcontrollers (MCUs)
More informationorg/ghc/ Windows Linux RPM 3.2 GHCi GHC gcc javac ghc GHCi(ghci) GHCi Prelude> GHCi :load file :l file :also file :a file :reload :r :type expr :t exp
3 Haskell Haskell Haskell 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. C Java 3.1 Haskell Haskell GHC (Glasgow Haskell Compiler 1 ) GHC Haskell GHC http://www.haskell. 1 Guarded Horn Clauses III - 1 org/ghc/ Windows
More informationLinux2.4でのメモリ管理機構
Linux2.2 on x86 Dec 2001 x86 Linux Linux (demand paging, copy on write ) (buddy system, slab allocator) x86 x86 ( ) (required) (= ) ( ) (optional) x86 Physical address( ) Linear address( ) Logical address(
More information2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( )
1,a) 2 4 WC C WC C Grading Student programs for visualizing progress in classroom Naito Hiroshi 1,a) Saito Takashi 2 Abstract: To grade student programs in Computer-Aided Assessment system, we propose
More informationshift/reset [13] 2 shift / reset shift reset k call/cc reset shift k shift (...) k 1 + shift(fun k -> 2 * (k 3)) k 2 * (1 + 3) 8 reset shift reset (..
arisa@pllab.is.ocha.ac.jp asai@is.ocha.ac.jp shift / reset CPS shift / reset CPS CPS 1 [3, 5] goto try/catch raise call/cc [17] control/prompt [8], shift/reset [5] control/prompt, shift/reset call/cc (continuationpassing
More information2018 IPSJ/SIGSE Software Engineering Symposium (SES2018) 1,a) 1,b) 1,c) Java 2014 Java Java Java Stream Optional 18% Stream 5% Stream JDK6/7
1,a) 1,b) 1,c) Java 214 Java Java Java 1 13 3 Stream Optional 18% Stream 5% Stream JDK6/7 Java Stream Optional 1. [1], [2], [3] [4] 2 1 a) h-tanaka@ist.osaka-u.ac.jp b) shinsuke@ist.osaka-u.ac.jp c) kusumoto@ist.osaka-u.ac.jp
More information1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D
3DCG 1) ( ) 2) 2) 1) 2) Real-Time Line Drawing Using Image Processing and Deforming Process Together in 3DCG Takeshi Okuya 1) Katsuaki Tanaka 2) Shigekazu Sakai 2) 1) Department of Intermedia Art and Science,
More information1 1 CodeDrummer CodeMusician CodeDrummer Fig. 1 Overview of proposal system c
CodeDrummer: 1 2 3 1 CodeDrummer: Sonification Methods of Function Calls in Program Execution Kazuya Sato, 1 Shigeyuki Hirai, 2 Kazutaka Maruyama 3 and Minoru Terada 1 We propose a program sonification
More information独立行政法人情報通信研究機構 Development of the Information Analysis System WISDOM KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the infor
独立行政法人情報通信研究機構 KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the information analysis system WISDOM as a research result of the second medium-term plan. WISDOM has functions that
More informationCopyright Oracle Parkway, Redwood City, CA U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated softw
Oracle Solaris Studio 12.3 Part No: E26466 2011 12 Copyright 2011 500 Oracle Parkway, Redwood City, CA 94065 U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software,
More informationIPSJ SIG Technical Report iphone iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Proc
iphone 1 1 1 iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Processing Unit)., AR Realtime Natural Feature Tracking Library for iphone Makoto
More informationIPSJ SIG Technical Report Vol.2013-ICS-172 No /11/12 1,a), 1,b) Anomaly Detection 1. 1 Nagoya Institute of Technology 1 Presently with Nagoya In
1,a), 1,b) Anomaly Detection 1. 1 Nagoya Institute of Technology 1 Presently with Nagoya Institute of Technology a) otsuka.takanobu@nitech.ac.jp b) ito.takayuki@nitech.ac.jp Anomaly Detection 2 3 4 5 6
More information22 (266) / Web PF-Web Web Web Web / Web Web PF-Web Web Web Web CGI Web Web 1 Web PF-Web Web Perl C CGI A Pipe/Filter Architecture Based Software Gener
22 (266) / Web PF-Web Web Web Web / Web Web PF-Web Web Web Web CGI Web Web 1 Web PF-Web Web Perl C CGI A Pipe/Filter Architecture Based Software Generator PF-Web for Constructing Web Applications. Tomohiro
More informationInt Int 29 print Int fmt tostring 2 2 [19] ML ML [19] ML Emacs Standard ML M M ::= x c λx.m M M let x = M in M end (M) x c λx.
1, 2 1 m110057@shibaura-it.ac.jp 2 sasano@sic.shibaura-it.ac.jp Eclipse Visual Studio ML Standard ML Emacs 1 ( IDE ) IDE C C++ Java IDE IDE IDE IDE Eclipse Java IDE Java Standard ML 1 print (Int. 1 Int
More informationIPSJ SIG Technical Report Vol.2014-DBS-159 No.6 Vol.2014-IFAT-115 No /8/1 1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Info
1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Information Science and Technology, Osaka University a) kawasumi.ryo@ist.osaka-u.ac.jp 1 1 Bucket R*-tree[5] [4] 2 3 4 5 6 2. 2.1 2.2 2.3
More information[1] [3]. SQL SELECT GENERATE< media >< T F E > GENERATE. < media > HTML PDF < T F E > Target Form Expression ( ), 3.. (,). : Name, Tel name tel
DEIM Forum 2011 C7-5 SuperSQL 223 8522 3 14 1 E-mail: tomonari@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp SuperSQL, SQL SELECT GENERATE SQL., SuperSQL HTML,.,. SuperSQL, HTML, Equivalent Transformation on
More information2014 2
2014 2 Web Web 1 1 1 1.1................................... 1 1.2.................................... 1 1.3.............................. 1 1.4.................................... 2 1.5...................................
More informationEmacs ML let start ::= exp (1) exp ::= (2) fn id exp (3) ::= (4) (5) ::= id (6) const (7) (exp) (8) let val id = exp in
Emacs, {l06050,sasano}@sic.shibaura-it.ac.jp Eclipse Visual Studio Standard ML Haskell Emacs 1 Eclipse Visual Studio variable not found LR(1) let Emacs Emacs Emacs Java Emacs JDEE [3] JDEE Emacs Java 2
More information10/ / /30 3. ( ) 11/ 6 4. UNIX + C socket 11/13 5. ( ) C 11/20 6. http, CGI Perl 11/27 7. ( ) Perl 12/ 4 8. Windows Winsock 12/11 9. JAV
tutimura@mist.i.u-tokyo.ac.jp kaneko@ipl.t.u-tokyo.ac.jp http://www.misojiro.t.u-tokyo.ac.jp/ tutimura/sem3/ 2002 12 11 p.1/33 10/16 1. 10/23 2. 10/30 3. ( ) 11/ 6 4. UNIX + C socket 11/13 5. ( ) C 11/20
More informationRun-Based Trieから構成される 決定木の枝刈り法
Run-Based Trie 2 2 25 6 Run-Based Trie Simple Search Run-Based Trie Network A Network B Packet Router Packet Filtering Policy Rule Network A, K Network B Network C, D Action Permit Deny Permit Network
More information23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h
23 FPGA CUDA Performance Comparison of FPGA Array with CUDA on Poisson Equation (lijiang@sekine-lab.ei.tuat.ac.jp), (kazuki@sekine-lab.ei.tuat.ac.jp), (takahashi@sekine-lab.ei.tuat.ac.jp), (tamukoh@cc.tuat.ac.jp),
More informationPowerPoint Presentation
Concurrent Mark&Sweep 第 6 回 JVM ソースコードリーディングの会 (OpenJDK) 中村実 nminoru@nminoru.jp nminoru1975@gmail.com Twitter @nminoru_jp 1 Parallel GC と Concurrent GC Stop the world(stw) 型 GC Java スレッド (Mutator) を止めてから
More information1. COBOL COBOL COBOL COBOL 2
2003-6-24 COBOL COBOL 2002 ISO/IEC JTC 1/SC 22/WG 4 (COBOL) INCITS J4 (COBOL) SC 22/COBOL WG COBOL JIS 1 1. COBOL 2. 2002 COBOL 3. 2002 COBOL 4. 5. COBOL 2 1. COBOL 3 COBOL COBOL Java C C++ 200 100 100
More information(CC Attribution) Lisp 2.1 (Gauche )
http://www.flickr.com/photos/dust/3603580129/ (CC Attribution) Lisp 2.1 (Gauche ) 2 2000EY-Office 3 4 Lisp 5 New York The lisps Sammy Tunis flickr lisp http://www.flickr.com/photos/dust/3603580129/ (CC
More informationGnutella Peer-to-Peer(P2P) P2P Linux P2P
13 Peer-to-Peer 98-0701-7 14 2 7 Gnutella Peer-to-Peer(P2P) P2P Linux P2P 3 1 6 2 8 2.1......................... 8 2.1.1 Domain Name System(DNS)............. 9 2.1.2 Web Caching System............ 11
More informationSCM (v0201) ( ) SCM 2 SCM 3 SCM SCM 2.1 SCM SCM SCM (1) MS-DOS (2) Microsoft(R) Windows 95 (C)Copyright Microsoft Corp
SCM (v0201) ( ) 14 4 20 1 SCM 2 SCM 3 SCM 4 5 2 SCM 2.1 SCM SCM 2 1 2 SCM (1) MS-DOS (2) Microsoft(R) Windows 95 (C)Copyright Microsoft Corp 1981-1996. 1 (3) C:\WINDOWS>cd.. C:\>cd scm C:\SCM> C:\SCM>
More informationB
B 27 1153021 28 2 10 1 1 5 1.1 CPU................. 5 1.2.... 5 1.3.... 6 1.4.. 7 1.5................................ 8 2 9 2.1.................................. 9 2.2............................ 10 2.3............................
More informationBASIC / / BA- SIC Web 1/10 1/10 / / JavaScript
BASIC / / BA- SIC Web 1/10 1/10 // JavaScript MIT Processing line(10,10,100,100); 1 BASIC / Phidgets 1 GAINER 2 USB / Phidgets USB 1: 1 http://www.phidgets.com/ 2 http://gainer.cc/ / / BGM Phidgets University
More informationChip Size and Performance Evaluations of Shared Cache for On-chip Multiprocessor Takahiro SASAKI, Tomohiro INOUE, Nobuhiko OMORI, Tetsuo HIRONAKA, Han
Chip Size and Performance Evaluations of Shared Cache for On-chip Multiprocessor Takahiro SASAKI, Tomohiro INOUE, Nobuhiko OMORI, Tetsuo HIRONAKA, Hans J. MATTAUSCH, and Tetsushi KOIDE 1 1 2 0.5 µm CMOS
More informationSEJulyMs更新V7
1 2 ( ) Quantitative Characteristics of Software Process (Is There any Myth, Mystery or Anomaly? No Silver Bullet?) Zenya Koono and Hui Chen A process creates a product. This paper reviews various samples
More informationIPSJ SIG Technical Report Vol.2013-CE-119 No /3/15 enpoly enpoly enpoly 1) 2) 2 C Java Bertrand Meyer [1] 1 1 if person greeting()
enpoly enpoly enpoly ) 2) 2 C Java 2 6. Bertrand Meyer [] if person greeting() if person if Faculty of Informatics, Shizuoka University, Hamamatsu, Shizuoka, 432-80, Japan C Jone[2] 2. Java Anchor Garden
More information今日の内容 Garbage Collection (GC, ごみ集め ) 参照されなくなったメモリ領域を解放すること 配列境界検査
コンパイラ演習 第 2 回 (202/0/05) 中村晃一野瀬貴史前田俊行秋山茂樹池尻拓朗鈴木友博渡邊裕貴潮田資秀小酒井隆広山下諒蔵佐藤春旗大山恵弘佐藤秀明住井英二郎 今日の内容 Garbage Collection (GC, ごみ集め ) 参照されなくなったメモリ領域を解放すること 配列境界検査 Garbage Collec4on 概論 遠藤敏夫先生の資料を参考にしています h7p://matsu-
More information(255) Vol. 19 No. 4 July (completion) tcsh bash UNIX Emacs/Mule 2 ( ) [2] [9] [11] 2 (speech completion) 3 ( ) [7] 2 ( 7.1 )
10 (254) () 1 Speech Completion: Introducing New Modality into Speech Input Interface Masataka Goto, Katunobu Itou, Tomoyosi Akiba, Satoru Hayamizu, [ ], National Institute of Advanced Industrial Science
More informationcpp1.dvi
2017 c 1 C++ (1) C C++, C++, C 11, 12 13 (1) 14 (2) 11 1 n C++ //, [List 11] 1: #include // C 2: 3: int main(void) { 4: std::cout
More informationmain.dvi
20 II 7. 1 409, 3255 e-mail: namba@faculty.chiba-u.jp 2 1 1 1 4 2 203 2 1 1 1 5 503 1 3 1 2 2 Web http://www.icsd2.tj.chiba-u.jp/~namba/lecture/ 1 2 1 5 501 1,, \,", 2000 7. : 1 1 CPU CPU 1 Intel Pentium
More information2006 [3] Scratch Squeak PEN [4] PenFlowchart 2 3 PenFlowchart 4 PenFlowchart PEN xdncl PEN [5] PEN xdncl DNCL 1 1 [6] 1 PEN Fig. 1 The PEN
PenFlowchart 1,a) 2,b) 3,c) 2015 3 4 2015 5 12, 2015 9 5 PEN & PenFlowchart PEN Evaluation of the Effectiveness of Programming Education with Flowcharts Using PenFlowchart Wataru Nakanishi 1,a) Takeo Tatsumi
More information& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
More information1 C STL(1) C C C libc C C C++ STL(Standard Template Library ) libc libc C++ C STL libc STL iostream Algorithm libc STL string vector l
C/C++ 2007 6 18 1 C STL(1) 2 1.1............................................... 2 1.2 stdio................................................ 3 1.3.......................................... 10 2 11 2.1 sizeof......................................
More informationスライド 1
WWW Request Client Data Server Request Data Client WWW Request Data Client Server Request Data Client WWW CPU Request Data Client Server Request Data Client Request Client Data Server Request Data Client
More information1 OpenCL OpenCL 1 OpenCL GPU ( ) 1 OpenCL Compute Units Elements OpenCL OpenCL SPMD (Single-Program, Multiple-Data) SPMD OpenCL work-item work-group N
GPU 1 1 2 1, 3 2, 3 (Graphics Unit: GPU) GPU GPU GPU Evaluation of GPU Computing Based on An Automatic Program Generation Technology Makoto Sugawara, 1 Katsuto Sato, 1 Kazuhiko Komatsu, 2 Hiroyuki Takizawa
More informationB 20 Web
B 20 Web 0753018 21 1 29 1 1 6 2 8 3 UI 10 3.1........................ 10 3.2 Web............ 11 3.3......... 12 4 UI 14 4.1 Web....................... 15 4.2 Web........... 16 4.3 Web....................
More informationTHE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE {s-kasihr, wakamiya,
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 565-0871 1 5 E-mail: {s-kasihr, wakamiya, murata}@ist.osaka-u.ac.jp PC 70% Design, implementation, and evaluation
More information4.1 % 7.5 %
2018 (412837) 4.1 % 7.5 % Abstract Recently, various methods for improving computial performance have been proposed. One of these various methods is Multi-core. Multi-core can execute processes in parallel
More information自然言語処理16_2_45
FileMaker Pro E-learning GUI Phrase Reading Cloze. E-learning Language Processing Technology and Educational Material Development Generating English Educational Material using a Database Software Kenichi
More informationI117 II I117 PROGRAMMING PRACTICE II DEBUG Research Center for Advanced Computing Infrastructure (RCACI) / Yasuhiro Ohara
I117 II I117 PROGRAMMING PRACTICE II DEBUG Research Center for Advanced Computing Infrastructure (RCACI) / Yasuhiro Ohara yasu@jaist.ac.jp / SCHEDULE 1. 2011/06/07(Tue) / Basic of Programming 2. 2011/06/09(Thu)
More informationnew_logo.eps
Oracle Enterprise Manager 2.0.4 :A62835-1 Oracle Enterprise Manager 2.0.4 :A62835-1 1 :1999 4 1 :Oracle Enterprise Manager Installation, Release 2.0.4 :A67818-01 Copyright 1999, Oracle Corporation. All
More information3 3.1 algebraic datatype data k = 1 1,1... 1,n1 2 2,1... 2,n2... m m,1... m,nm 1 m m m,1,..., m,nm m 1, 2,..., k 1 data Foo x y = Alice x [y] B
3 3.1 algebraic datatype data 1 2... k = 1 1,1... 1,n1 2 2,1... 2,n2... m m,1... m,nm 1 m m m,1,..., m,nm m 1, 2,..., k 1 data Foo x y = Alice x [y] Bob String y Charlie Foo Double Integer Alice 3.14 [1,2],
More information18 1 1 1.1...................................... 1 1.2................................... 1 1.3................................... 1 2 2 2.1......................... 2 2.1.1...........................
More information1 NScripter 1 [ NScripter ] NScripter NScripter 2 nathki bugyo 1 http://www.shuwasystem.co.jp/cgi-bin/detail.cgi?isbn=4-7980-1104-5 2 http://www.pulltop.com/gp04/ 2 NScripter NScripter BASIC ( ) NScLisper
More information1 Table 1: Identification by color of voxel Voxel Mode of expression Nothing Other 1 Orange 2 Blue 3 Yellow 4 SSL Humanoid SSL-Vision 3 3 [, 21] 8 325
社団法人人工知能学会 Japanese Society for Artificial Intelligence 人工知能学会研究会資料 JSAI Technical Report SIG-Challenge-B3 (5/5) RoboCup SSL Humanoid A Proposal and its Application of Color Voxel Server for RoboCup SSL
More information28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment
28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment 1170288 2017 2 28 Docker,.,,.,,.,,.,. Docker.,..,., Web, Web.,.,.,, CPU,,. i ., OS..,, OS, VirtualBox,.,
More informationMAC root Linux 1 OS Linux 2.6 Linux Security Modules LSM [1] Security-Enhanced Linux SELinux [2] AppArmor[3] OS OS OS LSM LSM Performance Monitor LSMP
LSM OS 700-8530 3 1 1 matsuda@swlab.it.okayama-u.ac.jp tabata@cs.okayama-u.ac.jp 242-8502 1623 14 munetoh@jp.ibm.com OS Linux 2.6 Linux Security Modules LSM LSM Linux 4 OS OS LSM An Evaluation of Performance
More information2 JSON., 2. JSON,, JSON Jaql [9] Spark Streaming [8], Spark [7].,, 2, 3 4, JSON [3], Jaql [9], Spark [7] Spark Streaming [8] JSON JSON [
DEIM Forum 2016 G1-4,, 305 8573 1-1-1 305 8573 1-1-1 305 8573 1-1-1 E-mail: denam96@kde.cs.tsukuba.ac.jp, {shiokawa,kitagawa}@cs.tsukuba.ac.jp,,.,,,.,, (1), (2),.,, 1.,.,,.,,,,, Storm [2] STREAM [5], S4
More informationunix.dvi
1 UNIX 1999 4 27 1 UNIX? 2 1.1 Windows/Macintosh? : : : : : : : : : : : : : : : : : : : : : : : : 2 1.2 UNIX OS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 1.3 : : : : : : : : : : : :
More information1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan
SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:
More information. IDE JIVE[1][] Eclipse Java ( 1) Java Platform Debugger Architecture [5] 3. Eclipse GUI JIVE 3.1 Eclipse ( ) 1 JIVE Java [3] IDE c 016 Information Pr
Eclipse 1,a) 1,b) 1,c) ( IDE) IDE Graphical User Interface( GUI) GUI GUI IDE View Eclipse Development of Eclipse Plug-in to present an Object Diagram to Debug Environment Kubota Yoshihiko 1,a) Yamazaki
More informationcompiler-text.dvi
2018.4 1 2 2.1 1 1 1 1: 1. (source program) 2. (object code) 3. 1 2.2 C if while return C input() output() fun var ( ) main() C (C-Prime) C A B C 2.3 Pascal P 1 C LDC load constant LOD load STR store AOP
More informationkoba/class/soft-kiso/ 1 λ if λx.λy.y false 0 λ typed λ-calculus λ λ 1.1 λ λ, syntax τ (types) ::= b τ 1 τ 2 τ 1
http://www.kb.ecei.tohoku.ac.jp/ koba/class/soft-kiso/ 1 λ if λx.λy.y false 0 λ typed λ-calculus λ λ 1.1 λ 1.1.1 λ, syntax τ (types) ::= b τ 1 τ 2 τ 1 τ 2 M (terms) ::= c τ x M 1 M 2 λx : τ.m (M 1,M 2
More informationDEIM Forum 2010 D Development of a La
DEIM Forum 2010 D5-3 432-8011 3-5-1 E-mail: {cs06062,cs06015}@s.inf.shizuoka.ac.jp, {yokoyama,fukuta,ishikawa}@.inf.shizuoka.ac.jp Development of a Large-scale Visualization System Based on Sensor Network
More informationDEIM Forum 2017 H ,
DEIM Forum 217 H5-4 113 8656 7 3 1 153 855 4 6 1 3 2 1 2 E-mail: {satoyuki,haya,kgoda,kitsure}@tkl.iis.u-tokyo.ac.jp,.,,.,,.,, 1.. 1956., IBM IBM RAMAC 35 IBM 35 24 5, 5MB. 1961 IBM 131,,, IBM 35 13.,
More informationはじめに
IT 1 NPO (IPEC) 55.7 29.5 Web TOEIC Nice to meet you. How are you doing? 1 type (2002 5 )66 15 1 IT Java (IZUMA, Tsuyuki) James Robinson James James James Oh, YOU are Tsuyuki! Finally, huh? What's going
More informationtutorial_lc.dvi
00 Linux v.s. RT Linux v.s. ART-Linux Linux RT-Linux ART-Linux Linux kumagai@emura.mech.tohoku.ac.jp 1 1.1 Linux Yes, No.,. OS., Yes. Linux,.,, Linux., Linux.,, Linux. Linux.,,. Linux,.,, 0..,. RT-Linux
More information,, WIX. 3. Web Index 3. 1 WIX WIX XML URL, 1., keyword, URL target., WIX, header,, WIX. 1 entry keyword 1 target 1 keyword target., entry, 1 1. WIX [2
DEIM Forum 2013 B10-4 Web Index 223-8522 3-14-1 E-mail: haseshun@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp, URL WIX, Web Web Index(WIX). WIX, WIX.,,. Web Index, Web, Web,, Related Contents Recommendation
More information,,, 2 ( ), $[2, 4]$, $[21, 25]$, $V$,, 31, 2, $V$, $V$ $V$, 2, (b) $-$,,, (1) : (2) : (3) : $r$ $R$ $r/r$, (4) : 3
1084 1999 124-134 124 3 1 (SUGIHARA Kokichi),,,,, 1, [5, 11, 12, 13], (2, 3 ), -,,,, 2 [5], 3,, 3, 2 2, -, 3,, 1,, 3 2,,, 3 $R$ ( ), $R$ $R$ $V$, $V$ $R$,,,, 3 2 125 1 3,,, 2 ( ), $[2, 4]$, $[21, 25]$,
More informationRubyの スレッド実装 の改善
Ruby の GC の 問 題 点 と 改 善 手 法 についての 一 考 察 A study on issues and improvements on Ruby s Garbage Collection Koichi Sasada Heroku, Inc. ko1@heroku.com 1 自 己 紹 介 所 属 Asakusa.rb( 初 期 から) Ruby Association( 理 事
More information2007/8 Vol. J90 D No. 8 Stauffer [7] 2 2 I 1 I 2 2 (I 1(x),I 2(x)) 2 [13] I 2 = CI 1 (C >0) (I 1,I 2) (I 1,I 2) Field Monitoring Server
a) Change Detection Using Joint Intensity Histogram Yasuyo KITA a) 2 (0 255) (I 1 (x),i 2 (x)) I 2 = CI 1 (C>0) (I 1,I 2 ) (I 1,I 2 ) 2 1. [1] 2 [2] [3] [5] [6] [8] Intelligent Systems Research Institute,
More informationCPU Levels in the memory hierarchy Level 1 Level 2... Increasing distance from the CPU in access time Level n Size of the memory at each level 1: 2.2
FFT 1 Fourier fast Fourier transform FFT FFT FFT 1 FFT FFT 2 Fourier 2.1 Fourier FFT Fourier discrete Fourier transform DFT DFT n 1 y k = j=0 x j ω jk n, 0 k n 1 (1) x j y k ω n = e 2πi/n i = 1 (1) n DFT
More informationGray [6] cross tabulation CUBE, ROLL UP Johnson [7] pivoting SQL 3. SuperSQL SuperSQL SuperSQL SQL [1] [2] SQL SELECT GENERATE <media> <TFE> GENER- AT
DEIM Forum 2017 E3-1 SuperSQL 223 8522 3 14 1 E-mail: {tabata,goto}@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp,,,, SuperSQL SuperSQL, SuperSQL. SuperSQL 1. SuperSQL, Cross table, SQL,. 1 1 2 4. 1 SuperSQL
More informationOracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Packインストレーション・ガイド リリース2.2
Oracle Enterprise Manager Oracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Pack 2.2 2000 11 : J02263-01 Oracle Change Management Pack, Oracle Diagnostics Pack, Oracle Tuning Pack 2.2
More information6-1
6-1 (data type) 6-2 6-3 ML, Haskell, Scala Lisp, Prolog (setq x 123) (+ x 456) (setq x "abc") (+ x 456) ; 6-4 ( ) subtype INDEX is INTEGER range -10..10; type DAY is (MON, TUE, WED, THU, FRI, SAT, SUN);
More information12研究資料02.indd
3 2 Journal of Multimedia Aided Education Research 2007, Vol. 3, No. 2, 8594 e 2002 1 e 2002 e e e e e e VOD e e e e SCORM VODVideo On Demand e 20042002 2004 GP e e e e 1 23 Learning Management System4
More information修士論文
27 Mobile Ad Hoc Networks An Ant-based Routing Algorithm with Multi-phase Pheromone and Power-saving in Mobile Ad Hoc Networks 14T0013 Shohei Miyashita E-mail: shohei.miyashita.4j@stu.hosei.ac.jp : Abstract
More information:
An Analysis of TV Game Market: From the viewpoints of network externalities and whole of services Masaki Matsumura, Hiroyuki Kurimoto, and Toshio Kobayashi It has been understood that a standard would
More informationIntroduction Purpose This training course describes the configuration and session features of the High-performance Embedded Workshop (HEW), a key tool
Introduction Purpose This training course describes the configuration and session features of the High-performance Embedded Workshop (HEW), a key tool for developing software for embedded systems that
More informationIPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe
1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Speech Visualization System Based on Augmented Reality Yuichiro Nagano 1 and Takashi Yoshino 2 As the spread of the Augmented Reality(AR) technology and service,
More informationuntitled
IT E- IT http://www.ipa.go.jp/security/ CERT/CC http://www.cert.org/stats/#alerts IPA IPA 2004 52,151 IT 2003 12 Yahoo 451 40 2002 4 18 IT 1/14 2.1 DoS(Denial of Access) IDS(Intrusion Detection System)
More informationprogram.dvi
FINAL PROGRAM 5th Annual Workshop SWoPP '92 1992 / / 1992 \HYUGA-NADA" Summer United Workshops on Parallel, Distributed, and Cooperative Processing 1992 8 19 ( )21 ( ) (CPSY) (AI) (WSI) (ARC) (OS) (NA)
More informationVol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
More informationprogram.dvi
2001.06.19 1 programming semi ver.1.0 2001.06.19 1 GA SA 2 A 2.1 valuename = value value name = valuename # ; Fig. 1 #-----GA parameter popsize = 200 mutation rate = 0.01 crossover rate = 1.0 generation
More informationGPU GPU CPU CPU CPU GPU GPU N N CPU ( ) 1 GPU CPU GPU 2D 3D CPU GPU GPU GPGPU GPGPU 2 nvidia GPU CUDA 3 GPU 3.1 GPU Core 1
GPU 4 2010 8 28 1 GPU CPU CPU CPU GPU GPU N N CPU ( ) 1 GPU CPU GPU 2D 3D CPU GPU GPU GPGPU GPGPU 2 nvidia GPU CUDA 3 GPU 3.1 GPU Core 1 Register & Shared Memory ( ) CPU CPU(Intel Core i7 965) GPU(Tesla
More information1 3 1.1............................ 3 1.2.......................... 3 2 5 2.1.............................. 5 2.1.1............................... 5 2
JIT 23 2 2 1 3 1.1............................ 3 1.2.......................... 3 2 5 2.1.............................. 5 2.1.1............................... 5 2.1.2.................... 5 2.1.3...................
More informationVB.NETコーディング標準
(C) Copyright 2002 Java ( ) VB.NET C# AS-IS extremeprogramming-jp@objectclub.esm.co.jp bata@gold.ocn.ne.jp Copyright (c) 2000,2001 Eiwa System Management, Inc. Object Club Kenji Hiranabe02/09/26 Copyright
More informationたのしいプログラミング Pythonではじめよう!
Title of English-language original: Python for Kids A Playful Introduction to Programming ISBN 978-1-59327-407-8, published by No Starch Press, Inc. Copyright 2013 by Jason R. Briggs. Japanese-language
More informationFig. 3 3 Types considered when detecting pattern violations 9)12) 8)9) 2 5 methodx close C Java C Java 3 Java 1 JDT Core 7) ) S P S
1 1 1 Fig. 1 1 Example of a sequential pattern that is exracted from a set of method definitions. A Defect Detection Method for Object-Oriented Programs using Sequential Pattern Mining Goro YAMADA, 1 Norihiro
More informationOptical Flow t t + δt 1 Motion Field 3 3 1) 2) 3) Lucas-Kanade 4) 1 t (x, y) I(x, y, t)
http://wwwieice-hbkborg/ 2 2 4 2 -- 2 4 2010 9 3 3 4-1 Lucas-Kanade 4-2 Mean Shift 3 4-3 2 c 2013 1/(18) http://wwwieice-hbkborg/ 2 2 4 2 -- 2 -- 4 4--1 2010 9 4--1--1 Optical Flow t t + δt 1 Motion Field
More informationReal AdaBoost HOG 2009 3 A Graduation Thesis of College of Engineering, Chubu University Efficient Reducing Method of HOG Features for Human Detection based on Real AdaBoost Chika Matsushima ITS Graphics
More information