Mercurial > hg > Papers > 2010 > jsst-shinya

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/fig.graffle	Fri Aug 27 08:06:51 2010 +0900
@@ -0,0 +1,816 @@
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+				<key>shadow</key>
+				<dict>
+					<key>Draws</key>
+					<string>NO</string>
+				</dict>
+			</dict>
+		</dict>
+	</array>
+	<key>GridInfo</key>
+	<dict/>
+	<key>GuidesLocked</key>
+	<string>NO</string>
+	<key>GuidesVisible</key>
+	<string>YES</string>
+	<key>HPages</key>
+	<integer>1</integer>
+	<key>ImageCounter</key>
+	<integer>1</integer>
+	<key>IsPalette</key>
+	<string>NO</string>
+	<key>KeepToScale</key>
+	<false/>
+	<key>Layers</key>
+	<array>
+		<dict>
+			<key>Lock</key>
+			<string>NO</string>
+			<key>Name</key>
+			<string>Layer 1</string>
+			<key>Print</key>
+			<string>YES</string>
+			<key>View</key>
+			<string>YES</string>
+		</dict>
+	</array>
+	<key>LayoutInfo</key>
+	<dict/>
+	<key>LinksVisible</key>
+	<string>NO</string>
+	<key>MagnetsVisible</key>
+	<string>NO</string>
+	<key>MasterSheets</key>
+	<array>
+		<dict>
+			<key>ActiveLayerIndex</key>
+			<integer>0</integer>
+			<key>AutoAdjust</key>
+			<false/>
+			<key>CanvasColor</key>
+			<dict>
+				<key>w</key>
+				<string>1</string>
+			</dict>
+			<key>CanvasOrigin</key>
+			<string>{0, 0}</string>
+			<key>CanvasScale</key>
+			<real>1</real>
+			<key>ColumnAlign</key>
+			<integer>1</integer>
+			<key>ColumnSpacing</key>
+			<real>36</real>
+			<key>DisplayScale</key>
+			<string>1 cm = 1 cm</string>
+			<key>GraphicsList</key>
+			<array/>
+			<key>GridInfo</key>
+			<dict/>
+			<key>HPages</key>
+			<integer>1</integer>
+			<key>IsPalette</key>
+			<string>NO</string>
+			<key>KeepToScale</key>
+			<false/>
+			<key>Layers</key>
+			<array>
+				<dict>
+					<key>Lock</key>
+					<string>NO</string>
+					<key>Name</key>
+					<string>Layer 1</string>
+					<key>Print</key>
+					<string>YES</string>
+					<key>View</key>
+					<string>YES</string>
+				</dict>
+			</array>
+			<key>LayoutInfo</key>
+			<dict/>
+			<key>Orientation</key>
+			<integer>2</integer>
+			<key>RowAlign</key>
+			<integer>1</integer>
+			<key>RowSpacing</key>
+			<real>36</real>
+			<key>SheetTitle</key>
+			<string>Master 1</string>
+			<key>UniqueID</key>
+			<integer>1</integer>
+			<key>VPages</key>
+			<integer>1</integer>
+		</dict>
+	</array>
+	<key>ModificationDate</key>
+	<string>2010-08-27 05:20:48 +0900</string>
+	<key>Modifier</key>
+	<string>ryoma</string>
+	<key>NotesVisible</key>
+	<string>NO</string>
+	<key>Orientation</key>
+	<integer>2</integer>
+	<key>OriginVisible</key>
+	<string>NO</string>
+	<key>PageBreaks</key>
+	<string>YES</string>
+	<key>PrintInfo</key>
+	<dict>
+		<key>NSBottomMargin</key>
+		<array>
+			<string>coded</string>
+			<string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFklySG</string>
+		</array>
+		<key>NSLeftMargin</key>
+		<array>
+			<string>coded</string>
+			<string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFklySG</string>
+		</array>
+		<key>NSPaperSize</key>
+		<array>
+			<string>size</string>
+			<string>{595, 842}</string>
+		</array>
+		<key>NSRightMargin</key>
+		<array>
+			<string>coded</string>
+			<string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFklySG</string>
+		</array>
+		<key>NSTopMargin</key>
+		<array>
+			<string>coded</string>
+			<string>BAtzdHJlYW10eXBlZIHoA4QBQISEhAhOU051bWJlcgCEhAdOU1ZhbHVlAISECE5TT2JqZWN0AIWEASqEhAFklySG</string>
+		</array>
+	</dict>
+	<key>ReadOnly</key>
+	<string>NO</string>
+	<key>RowAlign</key>
+	<integer>1</integer>
+	<key>RowSpacing</key>
+	<real>36</real>
+	<key>SheetTitle</key>
+	<string>Canvas 1</string>
+	<key>SmartAlignmentGuidesActive</key>
+	<string>YES</string>
+	<key>SmartDistanceGuidesActive</key>
+	<string>NO</string>
+	<key>UniqueID</key>
+	<integer>1</integer>
+	<key>UseEntirePage</key>
+	<false/>
+	<key>VPages</key>
+	<integer>1</integer>
+	<key>WindowInfo</key>
+	<dict>
+		<key>CurrentSheet</key>
+		<integer>0</integer>
+		<key>DrawerTab</key>
+		<string>Outline</string>
+		<key>DrawerWidth</key>
+		<real>209</real>
+		<key>Frame</key>
+		<string>{{-660, -537}, {538, 746}}</string>
+		<key>VisibleRegion</key>
+		<string>{{0, 0}, {523, 632}}</string>
+		<key>Zoom</key>
+		<real>1</real>
+	</dict>
+</dict>
+</plist>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
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+		{
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+
+
+
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+
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+		d0 0 r0 a1 a0 arc
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+		d0 di add 0 r0 ri add a1 a0 arcn
+		fill
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+
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+	currentdict/Extend known
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+		{
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+			{
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+				}
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dup 48 /m put
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dup 49 /p put
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readonly def
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42/FontType resourcestatus{pop pop false}{true}ifelse
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%APLsfntBegin
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{currentfile 0(%APLsfntEnd\n)/SubFileDecode filter flushfile}if
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/FontType 42 def
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/FontMatrix matrix def
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03D6043204AA051C056C060206980000000100000012006F0009006B0007000200100010005D000007E80A0C00040001B800532BB800492BB8003F2BB800352BB8002B2B4118008001A6009001A600A001A600030069018B0079018B0089018B0099018B00040089018B0099018B00A9018B00B9018BB2040840BA0179001A014A400B041F5414191F180A0B1FD2B80106B49E1FD918E3BB0119000D00E10119B20D0009410A01A0019F0064001F01A50025017A00480028019AB3296C1F60410A01A9007001A9008001A90003008001A9000101A9B21E321FBE012C00250401001F0126001E0401B61FE7312D1FE531B80201B21FC227B80401B21FC11EB80201400F1FC01D9E1FBF1D671FBE1D671FAB27B80401B21FAA29B80401B61FA91D6C1F931EB8019AB21F921DB80101B21F911DB80101B21F751DB80201B61F6D29961F6431B8019AB21F4C96B802ABB21F391DB80156400B1F3638211F351DE41F2F27B80801400B1F2D1D4C1F2A31CD1F241DB802ABB21F201EB8012540111F1C1D931F3A1D4C1F1E1D45273A1D4527BB01AA019B002A019BB2254A1FBA019B0025017AB349293896B8017BB348283125B8017A403648289629482725294C1F252946272729482756C80784075B07410732072B072807260721071B071408120810080E080C080A08080807B801ACB23F1F06BB01AB003F001F01ABB308060805B801AEB23F1F04BB01AD003F001F01ADB70804080208000814B8FFE0B40000010014B801ABB41000000100B801ABB606100000010006B801ADB300000100B801AD401F04000001000410000001001002000001000200000001000002010802004A00B0018DB806008516763F183F123E113946443E113946443E113946443E113946443E113946443E11394660443E11394660443E11394660442B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B18011DB0964B5358B0AA1D59B0324B5358B0FF1D592B2B2B2B2B2B2B2B182B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B2B74752B2B2B65422B2B4B5279B376706A66456523456023456560234560B08B766818B080622020B16A704565234520B003266062636820B003266165B070236544B06A234420B176664565234520B003266062636820B003266165B066236544B0762344B10066455458B166406544B27640764523614459B36242725D456523456023456560234560B089766818B080622020B172424565234520B003266062636820B003266165B042236544B072234420B1625D4565234520B003266062636820B003266165B05D236544B0622344B1005D455458B15D406544B262406245236144592B2B2B2B456953427374B8019A2045694B20B02853B049515A58B020615944B801A6204569447500
+
00>] def
+
/CharStrings 18 dict dup begin
+
/.notdef 0 def
+/hyphen 1 def
+/A 2 def
+/I 3 def
+/L 4 def
+/M 5 def
+/P 6 def
+/R 7 def
+/V 8 def
+/h 9 def
+/l 10 def
+/m 11 def
+/n 12 def
+/o 13 def
+/p 14 def
+/t 15 def
+/v 16 def
+/y 17 def
+ end readonly def
+
currentdict dup/FontName get exch definefont pop end
+
%APLsfntEnd
+
42/FontType resourcestatus{pop pop true}{false}ifelse
+
{currentfile 0(%APLT1End\n)/SubFileDecode filter flushfile}if
+
/FontType 1 def
+
/FontMatrix [ 0.00048828125 0 0 0.00048828125 0 0 ] def
+
/FontBBox{-1947 -985 2961 2297}def
+
/UniqueID 4375838 def
+
currentdict currentfile eexec
+
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
+
D9183EA980BA26E4784B88CC2F89BB4CED66F4AA0B3F5858361357B3F84AABA9A81F810FB18214267DC2FCF5D54F29BD5B780486D2097CE3BE070B544D142C5EBCAA99A8FBB9FE154C99DA17CDDEA12B968664BB9F424F9E25F605C906C4CA1C819A27EA3467307399DA373BEC04948EAFA84E4D8074D06D08EE94F45C7D6A564737542297169EE88FCD6367FD882593ACC12B09ADB70741C8EFD0106DCB4341BF7FDFE18FF30650FFDE29E7F8C6D175DB2C16A2BA1F1C6F941BD399566600CB3E0BF61984301EC9301AA9A635685F294186422C1696C6B3155519E0007F8AB74EEAC7A31F42177C647B61CC9F0A4CE5B9DE2213A65BCB2F382AB6D56C58ADDB87B59FE7F402FFEE1B9B09421610206D2F95BA3D67518DE65EF8AC3772E161D37980C8658738E458B308D0454AC7EB6ED21213E588EC3E649AE1BC4D9BDC6E8E0E55E663DF1683DDC1EB926A46091A8AB7F7760B9573536100D9EB1D2314762C72E32DDDF1A55FDB12F18FC40779C84E59143DA16D9E51EF4DCE116CEC0ED5DD9FEE32E486AEA166CF66A89878779BE75E64E9F454F39D1261BA533290B5388253E7F46CD51EBB3EB32E00D4AA6A64C5BBAD49AE5A81C9A9657A1D95CD626EE5933C7CAA6CAA0AF084772AD722FC96E20C280ADA43283D00700E89A00796E4FA4B3D842F2123C008881F2DC7EB2B37349D9680B845DE68897A1682519B33AB25F08491892591E0A80772F31E6B7A32C0702FA8ECB1FB92E01FD7618408030D5FACD5F944037C0FAECBE82633D9DC39B8343994DB94D342472CED4F64F4E6E829186CF70C8BB5E7B82E7E0A18F5E0353367997962F1D8DBED22F414467A48B96BA91165C8D6D0CC1894D7EC2E00991713AB7A02D73B52E5C080D3FD9638AE0D8384D41462EF3C1F7BDFC274D44DC77A954B31E2B47512BB8B91A6B30613AAA44C782BCA4C9A7ECF6C078568182823423EBCA64719801DB2A92641ACF3A2FFE5C280052976093342B3BCC8129C069877A95D03069F576E8B5FD14A96044F423847587D1C4C47579AFFD0F53455AA94D59C17B24FAD441537FE0D60B91C05AE580DF365A53E8BCD313A35339F18757EDCFE2F89D7196790F94FE47AE41250F4C1AED68273D13BBEAF98AE349E1EF2CA5811B333BA6C81E570D275EE03709C9AF92712E98A334116FD56C481B933A47D95CEC80029D51FB85B3136EC2AB1B53CCBDE107E31B08A3BBA5D2624B7E14E99C1DBEA0158131708C2D6F14E990ACFD3CEB12B22FBA129700E499A88CABEE35376C72D97C3BD2B0E5B0AA901B1781D9F4617636EE5F8F438407FD481D283812AE766B5CFBFF24B20AC99E5DEA09A08FEA2642F7433380A15FC44D647FB8D2EB06FCBBE38CCAB77A3DF98AB411452D6DE64B5AA5BD38436D5E542D528DE76B62B1CB270204AC449C74D10E48737B2608B93D1
+
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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0000000000000000000000000000000000000000000000000000000000000000
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cleartomark end
+
%APLT1End
+
+%RBIEndFontSubset
+/Helvetica cguidfix
+/F1.1/Helvetica renmfont
+%RBIBeginFontSubset: HiraKakuProN-W3
+%!FontType1-1.0: AAAAAB+HiraKakuProN-W3 001.003
%%CreationDate: 8/26/10
% Copyright �2003 Apple Computer, Inc. and its licensors, all rights reserved.
11 dict begin
/FontInfo 9 dict dup begin
/version (001.003) readonly def
/FullName (HiraKakuProN-W3) readonly def
/Weight (SnapShot) readonly def
/isFixedPitch false def
/UnderlinePosition 0 def
/UnderlineThickness 0 def
/FSType 8 def
end readonly def
/FontName /AAAAAB+HiraKakuProN-W3 def
/PaintType 0 def
/FontType 1 def
/FontMatrix [0.0010 0 0 0.0010 0 0] readonly def
/Encoding 256 array 0 1 255 {1 index exch /.notdef put} for
readonly def
/FontBBox {-386 -373 1232 1266} readonly def
currentdict end
currentfile eexec
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cleartomark
%!FontType1-1.0: AAAAAC+HiraKakuProN-W3 001.003
%%CreationDate: 8/26/10
% Copyright �2003 Apple Computer, Inc. and its licensors, all rights reserved.
11 dict begin
/FontInfo 9 dict dup begin
/version (001.003) readonly def
/FullName (HiraKakuProN-W3) readonly def
/Weight (SnapShot) readonly def
/isFixedPitch false def
/UnderlinePosition 0 def
/UnderlineThickness 0 def
/FSType 8 def
end readonly def
/FontName /AAAAAC+HiraKakuProN-W3 def
/PaintType 0 def
/FontType 1 def
/FontMatrix [0.0010 0 0 0.0010 0 0] readonly def
/Encoding 256 array 0 1 255 {1 index exch /.notdef put} for
dup 0 /uni30FC.660 put
dup 1 /uni30A4.928 put
dup 2 /uni30B3.943 put
dup 3 /uni30C9.965 put
dup 4 /uni30CA.966 put
dup 5 /uni30D0.972 put
dup 6 /uni30D1.973 put
dup 7 /uni30EA.998 put
dup 8 /uni30EB.999 put
dup 9 /uni30F3.1007 put
readonly def
/FontBBox {-386 -373 1232 1266} readonly def
currentdict end
currentfile eexec
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cleartomark
%!FontType1-1.0: AAAAAD+HiraKakuProN-W3 001.003
%%CreationDate: 8/26/10
% Copyright �2003 Apple Computer, Inc. and its licensors, all rights reserved.
11 dict begin
/FontInfo 9 dict dup begin
/version (001.003) readonly def
/FullName (HiraKakuProN-W3) readonly def
/Weight (SnapShot) readonly def
/isFixedPitch false def
/UnderlinePosition 0 def
/UnderlineThickness 0 def
/FSType 8 def
end readonly def
/FontName /AAAAAD+HiraKakuProN-W3 def
/PaintType 0 def
/FontType 1 def
/FontMatrix [0.0010 0 0 0.0010 0 0] readonly def
/Encoding 256 array 0 1 255 {1 index exch /.notdef put} for
dup 0 /uni884C.2022 put
dup 1 /uni5B9F.2286 put
dup 2 /uni6210.2642 put
dup 3 /uni751F.2652 put
readonly def
/FontBBox {-386 -373 1232 1266} readonly def
currentdict end
currentfile eexec
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Binary file paper.pdf has changed
--- a/paper.tex	Thu Aug 26 04:48:35 2010 +0900
+++ b/paper.tex	Fri Aug 27 08:06:51 2010 +0900
@@ -44,7 +44,7 @@
 %
 % ここにタイトル英訳 (英文の場合は和訳) を書く．
 %
-\ejtitle{Implimentation of Regular Expression Compiler with GCC/LLVM.}
+\ejtitle{Implementation of Regular Expression Engine with Dynamic Code Generation.}
 %
 % ここに著者英文表記 (英文の場合は和文表記) および
 % 所属 (和文および英文) を書く．
@@ -236,14 +236,14 @@
 この方法によって得られたDFA $D$はNFA $E$と同等の言語を認識し, またNFAの
 元となる正規表現と同等である.

-\subsubsection{DFAから実行バイナリの生成}\label{subsection:compile}
+\subsection{DFAから実行バイナリの生成}\label{subsection:compile}
 DFAからの実行バイナリ生成には, 3種類の実装を行った.

 \begin{enumerate}
 \item DFA $\rightarrow$ Continuous based C $\rightarrow$ gccによるコンパ
       イル
 \item DFA $\rightarrow$ C $\rightarrow$ gccによるコンパイル
-\item DFA $\rightarrow$ LLVM-API $\rightarrow$ LLVMによるコンパイル
+\item DFA $\rightarrow$ LLVM中間表現 $\rightarrow$ LLVMによるコンパイル
 \end{enumerate}
 %

@@ -297,8 +297,8 @@
 続を基盤としたプログラミングスタイルが望ましい. 今回コンパイラによって生
 成したCbCソースコードでは,大域変数は持たず,必要な変数は全て引数に載せて
 いる.
-CbCのstate\_1, state\_0から呼ばれているaccept, rejectはそれぞれ受理状れ受
-理と非受理を表す. accept ではテキスト行を出力して次の行へ, rejectでは次
+CbCのstate\_1, state\_0から呼ばれているaccept, rejectはそれぞれ受理と非
+受理を表す. accept ではテキスト行を出力して次の行へ, rejectでは次
 の文字へと処理を移すコードセグメントへ継続を行う.

 生成したCbCソースコードを, GCC上に実装したCbCコンパイラによってコンパイルす
@@ -310,21 +310,70 @@
 タック操作によるオーバーヘッドが予想される.

 \subsubsection{LLVM}
-LLVM(Low Level Virtual Machine) は
+LLVM(Low Level Virtual Machine) は, さまざまなコード最適化/分析機能を備
+えた, モジュール単位で利用可能なコンパイラ基盤である\cite{L}.
+
+CbC/Cによる実装では,DFAからCbC/Cのソースコードに変換し,GCCによってコンパ
+イルを行っている. LLVMによる実装では, LLVMの中間表現であるLLVM-IRを,提供
+されているAPIを用いて直接操作を行い, コンパイルを経て実行バイナリを得る.
+PythonからLLVM APIの利用は, LLVM APIのPythonラッパーであるllvm-pyを使用した.
+
+\begin{figure}[t]
+\begin{center}
+\scalebox{0.60}{\includegraphics{fig7.eps}}
+\caption{LLVMを用いた実装}
+\label{figure:llvm-impl}
+\end{center}
+\end{figure}
+
+LLVMによる実装でも, Cによる実装と同様に,DFAの状態遷移をswitch文と関数呼
+び出しによって表現している.
+
+\newpage

 \section{評価}
+\subsection{CbC/C/LLVM - 三つの実装の比較}
+本実験で実装した正規表現評価器のCbC/C/LLVMによる三つの実装に対して,
+コンパイル時間及びマッチングにかかる時間の比較を行った.

-\subsection{実験}
-ここでは,本実験で実装した正規表現評価器を用いて実装した
+{\bf コンパイル時間}
+n個の単語を正規表現のOR演算で繋げたパターンに対し, 各実装のコンパイル時
+間の比較を行った.
+
+{\bf マッチング時間}
+...
+本実験で実装した正規表現評価器を用いて grep に相当するプログラムを実装し,
+実際にテキストファイルからのパターンマッチを行い, それぞれの評価を行った.
+
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+　\\
+
+\subsection{grepとの比較}
+...
+実験環境及びテキストファイルとして
 \begin{itemize}
 \item CPU : Core i7 950 @3.0GHz
 \item Memory : 16GB
-\item Text : Wikipedia 日本語版全記事\\ (4.7GB, 8000万行)
+\item Text : Wikipedia 日本語版全記事\\ (XML, UTF-8, 4.7GB, 8000万行)
 \end{itemize}
+を用いた. 表\ref{table:benchmark2}に結果を示す.

 \begin{table}[h]
-\caption{ベンチマーク}
-\label{table:benchmark}
+\caption{ベンチマーク:grep}
+\label{table:benchmark2}
 \begin{tabular}[t]{|l||l|l|l|}
 \hline
 テストケース & fixed-string & simple-regex & complex-regex \\
@@ -345,27 +394,42 @@

 \begin{description}
 \item[fixed-string]固定文字列によるマッチング\\
-pattern : ``$Wikipedia$''\\
-match   : 348936行\\
+パターン  : ``$Wikipedia$''\\
+マッチ行数: 348936行\\
 GNU grep では, 与えられたパターン内に, 確実に含まれる文字列(固定文字列)
 が存在する場合は, Boyer-Moore法 等の高速な文字列探索アルゴリズムを用いて
 フィルタをかけることで, DFAによるマッチングを減らし,高速化している. 本実
 装の grep では, そのようなフィルタリングは施しておらず, どのようなパター
 ンにたいしても先に述べたDFAベースのマッチングを行う. fixed-stringのテス
 トケースではその差が出ている.
-\item[simple-regex]単純な正規表現によるマッチング\\
-pattern : ``\verb|^\*+ \[\[|''\\
-match   : 3439028行\\
+
+\item[simple-regex]単純な正規表現でのマッチング\\
+パターン  : ``\verb|^\*+ \[\[|''\\
+マッチ行数: 3439028行\\
+このパターンは行頭から'*'の1回以上の繰り返しの後に文字列 ``\verb| \[\]|''
+が続く行にマッチする(Wikipediaにおける ``関連項目''). このパターンにも, 確実に含まれる文字列が存在するの
+で, GNU grep ではBoyer-Moore法でフィルタリングを行った後マッチングを行う
+ことで本実装と比べて高速な結果となっている.

-\item[complex-regex]複雑な正規表現によるマッチング\\
-pattern :``$(Python|Perl|Pascall|Prolog|\\
+\item[complex-regex]複雑な正規表現でのマッチング\\
+パターン  :``$(Python|Perl|Pascall|Prolog|\\
 PHP|Ruby|Haskell|Lisp|Scheme)$''\\
-match   : 1503行\\
-GNU grep 2.5.4 は, 188秒と, 本実装及びGNU grep 2.6.3に対して非常に遅い結
+マッチ行数: 1503行\\
+このパターンは,9個の単語をORで並べたもので,確実に含まれる文字列は存在せ
+ず,先の二つに比べてGNU grep は遅い結果となっている.
+
+GNU grep 2.5.4 は188秒と, 本実装及びGNU grep 2.6.3に対して非常に遅い結
 果となっているが, これは後述する mbrtowc(3) によるマルチバイト文字の変換
 処理によるオーバーヘッドによるものである.
 \end{description}

+3つのテストケースの結果を見てみると, 本実装はそれぞれ実行時間にあまり差
+がなく, またコンパイル時間はマッチングにかかる時間と比べて無視できるなっ
+ている. また, complex-regexのテストケースではGNU grepよりも高速な結果が
+出ており, 本実装は(フィルタリングを用いない)純粋なDFAマッチングにおいて
+パターンに比べて検索対テキストファイルが十分に大きな場合の検索にコンパイ
+ルの効果が発揮されていることが分かる.
+
 \subsection{特徴}
 本実験によって実装された正規表現評価器の特徴を, GNU grep との比較をはさ
 みながら説明する.
@@ -373,10 +437,11 @@
 {\bf 正規表現からの動的なコード生成}\\
 本実装による一番の特徴として, 正規表現から変換を行うことで得られる等価な
 DFAを, C/CbC/LLVM に変換しコンパイルすることで正規表現に応じた実行バイナ
-リを生成することが挙げられる.
-grep のような, 与えられるパターン(正規表現)に対してマッチ対象のテキスト
-ファイルが十分大きい場合, 正規表現のコンパイルにかかる時間はマッチングに
-かかる時間によって隠される.
+リを生成することが挙げられる. またコンパイラ理論におけるさまざまな最適化
+が期待される.
+grepによる検索のような, 与えられるパターン(正規表現)に対してマッチ対象の
+テキストファイルが十分に大きい場合, 正規表現のコンパイルにかかる時間はマッ
+チングにかかる時間によって隠される.

 GNU grep では, 本実装と同様にDFAベースのマッチングを行うが, DFAの各状態
 は構造体よって表され, 状態遷移は各状態毎に保持している遷移先ポインタによ
@@ -403,16 +468,23 @@
 \end{center}
 \end{figure*}

-{\bf 軽量な実装}\\
-本実験で実装した正規表現コンパイラは, Pythonによって実装されており,全体
-で3000行に満たない軽量なプログラムとなっている. また,コンパイラの記述に
-はPythonを用いているが, 生成される正規表現評価器はC/CbCによって記述され
-コンパイルされた実行バイナリなので, 高速に実行される.
+{\bf 柔軟な実装}\\
+本実験で実装した正規表現評価器は, Pythonによって実装されており,全体
+で3000行程度の軽量なプログラムとなっている. 比較対象のGNU grep は,
+C言語によって実装されており, プログラム全体は10000行を超える.

-比べてGNU grep は, C言語によって実装されており,さまざまな正規表現の拡張
-機能(後方参照など)をサポートしており,プログラム全体は10000行を超える.
+さらに,本実装から動的に生成されるコードも,コードセグメント/関数とswitch
+を基準としたシンプルな記述で高い可読性を持ちつつ, 細かい最適化をGCC/LLVMの最適
+化技術を利用することで実行速度も非常に高速なものとなっていることが実験結
+果から分かる.
+
+...

 \section{まとめと今後の課題}
+本実験では, 正規表現をコードセグメント/関数による状態遷移を行うコードに
+変換し, GNU grep との比較を行い良好な結果を得た.
+
+...

 \begin{adjustvboxheight} % needed only when Appendix follows
 \begin{thebibliography}{99}
@@ -424,14 +496,18 @@

 \bibitem{R3} Cox, R : Regular Expression Matching in the Wild, 2010

-\bibitem{U} Hopcroft, J, E. Motowani, R. Ullman, J. : オートマトン言
+\bibitem{U} Hopcroft, J, E. Motowani, R. Ullman, J : オートマトン言
         語理論計算論I (第二版), pp.~39--90.

+\bibitem{L} Lattner, Chris. Adve, Vikram : The LLVM Compiler Framework
+        and Infrastructure, 2004
+
 \bibitem{K} Thompson, K : Regular Expression Search Algorithm, 1968

 \bibitem{H} 長谷川 勇 : 国際正規表現ライブラリの開発

-\bibitem{Y} 与儀 健人 : 組込み向け言語Continuation based CのGCC上の実装, 2010
+\bibitem{Y} 与儀 健人 : 組込み向け言語Continuation based CのGCC上の実装,
+        2010

 \end{thebibliography}
 \end{adjustvboxheight} % needed only when Appendix follows