changeset 19:16628e50fab7

presen commit.but not finished
author Yuhi TOMARI <yuhi@cr.ie.u-ryukyu.ac.jp>
date Sun, 05 Jan 2014 07:48:13 +0900
parents 0d5cf8fb6a18
children 9006629e61b2
files presen/images/exe_cpu_gpu.graffle presen/images/exe_cpu_gpu.png presen/index.html
diffstat 3 files changed, 1318 insertions(+), 213 deletions(-) [+]
line wrap: on
line diff
--- a/presen/images/exe_cpu_gpu.graffle	Tue Dec 17 20:00:18 2013 +0900
+++ b/presen/images/exe_cpu_gpu.graffle	Sun Jan 05 07:48:13 2014 +0900
@@ -53,7 +53,956 @@
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+					<string>{{185.6901150555675, 171.82915040596049}, {52.999999999999993, 29}}</string>
+					<key>Class</key>
+					<string>ShapedGraphic</string>
+					<key>FitText</key>
+					<string>Vertical</string>
+					<key>Flow</key>
+					<string>Resize</string>
+					<key>ID</key>
+					<integer>109</integer>
+					<key>Shape</key>
+					<string>Rectangle</string>
+					<key>Style</key>
+					<dict>
+						<key>fill</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>shadow</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>stroke</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+					</dict>
+					<key>Text</key>
+					<dict>
+						<key>Pad</key>
+						<integer>0</integer>
+						<key>Text</key>
+						<string>{\rtf1\ansi\ansicpg1252\cocoartf1265
+\cocoascreenfonts1{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs48 \cf0 GPU}</string>
+						<key>VerticalPad</key>
+						<integer>0</integer>
+					</dict>
+				</dict>
+				<dict>
+					<key>Bounds</key>
+					<string>{{184.5633544921875, 172.301513671875}, {85.5633544921875, 42}}</string>
+					<key>Class</key>
+					<string>ShapedGraphic</string>
+					<key>FontInfo</key>
+					<dict>
+						<key>Font</key>
+						<string>LucidaGrande</string>
+						<key>Size</key>
+						<real>24</real>
+					</dict>
+					<key>ID</key>
+					<integer>110</integer>
+					<key>Magnets</key>
+					<array>
+						<string>{0, 1}</string>
+						<string>{0, -1}</string>
+						<string>{1, 0}</string>
+						<string>{-1, 0}</string>
+						<string>{1, 1}</string>
+						<string>{1, -1}</string>
+						<string>{-1, 1}</string>
+						<string>{-1, -1}</string>
+					</array>
+					<key>Shape</key>
+					<string>Rectangle</string>
+					<key>Style</key>
+					<dict>
+						<key>shadow</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>stroke</key>
+						<dict>
+							<key>Width</key>
+							<real>2</real>
+						</dict>
+					</dict>
+				</dict>
+			</array>
+			<key>ID</key>
+			<integer>105</integer>
+		</dict>
+		<dict>
+			<key>Class</key>
+			<string>Group</string>
+			<key>Graphics</key>
+			<array>
+				<dict>
+					<key>Class</key>
+					<string>LineGraphic</string>
+					<key>Head</key>
+					<dict>
+						<key>ID</key>
+						<integer>104</integer>
+					</dict>
+					<key>ID</key>
+					<integer>100</integer>
+					<key>Points</key>
+					<array>
+						<string>{120.5633544921875, 97.301513671875}</string>
+						<string>{120.78167724609375, 172.301513671875}</string>
+					</array>
+					<key>Style</key>
+					<dict>
+						<key>stroke</key>
+						<dict>
+							<key>HeadArrow</key>
+							<string>Arrow</string>
+							<key>Legacy</key>
+							<true/>
+							<key>TailArrow</key>
+							<string>0</string>
+							<key>Width</key>
+							<real>2</real>
+						</dict>
+					</dict>
+				</dict>
+				<dict>
+					<key>Bounds</key>
+					<string>{{83.5633544921875, 55.301513671875}, {72, 42}}</string>
+					<key>Class</key>
+					<string>ShapedGraphic</string>
+					<key>FontInfo</key>
+					<dict>
+						<key>Font</key>
+						<string>LucidaGrande</string>
+						<key>Size</key>
+						<real>24</real>
+					</dict>
+					<key>ID</key>
+					<integer>101</integer>
+					<key>Magnets</key>
+					<array>
+						<string>{0, 1}</string>
+						<string>{0, -1}</string>
+						<string>{1, 0}</string>
+						<string>{-1, 0}</string>
+					</array>
+					<key>Shape</key>
+					<string>Rectangle</string>
+					<key>Style</key>
+					<dict>
+						<key>shadow</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>stroke</key>
+						<dict>
+							<key>CornerRadius</key>
+							<real>5</real>
+						</dict>
+					</dict>
+					<key>Text</key>
+					<dict>
+						<key>Text</key>
+						<string>{\rtf1\ansi\ansicpg1252\cocoartf1265
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 LucidaGrande;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs48 \cf0 0}</string>
+					</dict>
+				</dict>
+				<dict>
+					<key>Bounds</key>
+					<string>{{101.5633544921875, 200.82916259765625}, {72, 35.47235107421875}}</string>
+					<key>Class</key>
+					<string>ShapedGraphic</string>
+					<key>FontInfo</key>
+					<dict>
+						<key>Font</key>
+						<string>LucidaGrande</string>
+						<key>Size</key>
+						<real>24</real>
+					</dict>
+					<key>ID</key>
+					<integer>102</integer>
+					<key>Magnets</key>
+					<array>
+						<string>{0, 1}</string>
+						<string>{0, -1}</string>
+						<string>{1, 0}</string>
+						<string>{-1, 0}</string>
+					</array>
+					<key>Shape</key>
+					<string>Rectangle</string>
+					<key>Style</key>
+					<dict>
+						<key>shadow</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>stroke</key>
+						<dict>
+							<key>CornerRadius</key>
+							<real>5</real>
+						</dict>
+					</dict>
+					<key>Text</key>
+					<dict>
+						<key>Text</key>
+						<string>{\rtf1\ansi\ansicpg1252\cocoartf1265
+\cocoascreenfonts1{\fonttbl\f0\fnil\fcharset0 LucidaGrande;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs48 \cf0 Task}</string>
+					</dict>
+				</dict>
+				<dict>
+					<key>Bounds</key>
+					<string>{{79.126760563380003, 171.82915040596049}, {52.999999999999993, 29}}</string>
+					<key>Class</key>
+					<string>ShapedGraphic</string>
+					<key>FitText</key>
+					<string>Vertical</string>
+					<key>Flow</key>
+					<string>Resize</string>
+					<key>ID</key>
+					<integer>103</integer>
+					<key>Shape</key>
+					<string>Rectangle</string>
+					<key>Style</key>
+					<dict>
+						<key>fill</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>shadow</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>stroke</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+					</dict>
+					<key>Text</key>
+					<dict>
+						<key>Pad</key>
+						<integer>0</integer>
+						<key>Text</key>
+						<string>{\rtf1\ansi\ansicpg1252\cocoartf1265
+\cocoascreenfonts1{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\pardirnatural\qc
+
+\f0\fs48 \cf0 GPU}</string>
+						<key>VerticalPad</key>
+						<integer>0</integer>
+					</dict>
+				</dict>
+				<dict>
+					<key>Bounds</key>
+					<string>{{78, 172.301513671875}, {85.5633544921875, 42}}</string>
+					<key>Class</key>
+					<string>ShapedGraphic</string>
+					<key>FontInfo</key>
+					<dict>
+						<key>Font</key>
+						<string>LucidaGrande</string>
+						<key>Size</key>
+						<real>24</real>
+					</dict>
+					<key>ID</key>
+					<integer>104</integer>
+					<key>Magnets</key>
+					<array>
+						<string>{0, 1}</string>
+						<string>{0, -1}</string>
+						<string>{1, 0}</string>
+						<string>{-1, 0}</string>
+						<string>{1, 1}</string>
+						<string>{1, -1}</string>
+						<string>{-1, 1}</string>
+						<string>{-1, -1}</string>
+					</array>
+					<key>Shape</key>
+					<string>Rectangle</string>
+					<key>Style</key>
+					<dict>
+						<key>shadow</key>
+						<dict>
+							<key>Draws</key>
+							<string>NO</string>
+						</dict>
+						<key>stroke</key>
+						<dict>
+							<key>Width</key>
+							<real>2</real>
+						</dict>
+					</dict>
+				</dict>
+			</array>
+			<key>ID</key>
+			<integer>99</integer>
+		</dict>
+		<dict>
+			<key>Class</key>
+			<string>LineGraphic</string>
+			<key>ID</key>
+			<integer>39</integer>
+			<key>Points</key>
+			<array>
+				<string>{548.92778015136719, 13.6507568359375}</string>
+				<string>{548.92778015136719, 391.5000030670933}</string>
+			</array>
+			<key>Style</key>
+			<dict>
+				<key>stroke</key>
+				<dict>
+					<key>HeadArrow</key>
+					<string>FilledBall</string>
+					<key>Legacy</key>
+					<true/>
+					<key>TailArrow</key>
+					<string>FilledBall</string>
+				</dict>
+			</dict>
+		</dict>
+		<dict>
+			<key>Bounds</key>
+			<string>{{839.32571411132812, 171.301513671875}, {86, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -100,7 +1049,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{306, 218.8492431640625}, {86, 42}}</string>
+			<string>{{805.32571411132812, 103.1507568359375}, {86, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -159,8 +1108,8 @@
 			<integer>54</integer>
 			<key>Points</key>
 			<array>
-				<string>{347, 270}</string>
-				<string>{406.5792236328125, 368.92462348937988}</string>
+				<string>{846.32571411132812, 154.301513671875}</string>
+				<string>{905.90493774414062, 253.22613716125488}</string>
 			</array>
 			<key>Style</key>
 			<dict>
@@ -172,6 +1121,8 @@
 					<true/>
 					<key>TailArrow</key>
 					<string>0</string>
+					<key>Width</key>
+					<real>2</real>
 				</dict>
 			</dict>
 			<key>Tail</key>
@@ -196,9 +1147,9 @@
 			<integer>38</integer>
 			<key>Points</key>
 			<array>
-				<string>{230.0950622558594, 270.38192028256515}</string>
-				<string>{347, 270}</string>
-				<string>{405.91511812952945, 203.67227265645261}</string>
+				<string>{729.4207763671875, 154.68343395444015}</string>
+				<string>{846.32571411132812, 154.301513671875}</string>
+				<string>{905.90492613886477, 87.226137161254883}</string>
 			</array>
 			<key>Style</key>
 			<dict>
@@ -210,6 +1161,8 @@
 					<true/>
 					<key>TailArrow</key>
 					<string>0</string>
+					<key>Width</key>
+					<real>2</real>
 				</dict>
 			</dict>
 			<key>Tail</key>
@@ -220,7 +1173,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{105.09506225585938, 317.52764892578125}, {125, 42}}</string>
+			<string>{{604.4207763671875, 201.82916259765625}, {125, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -267,7 +1220,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{96.095062255859375, 308.52764892578125}, {125, 42}}</string>
+			<string>{{595.4207763671875, 192.82916259765625}, {125, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -314,7 +1267,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{87.095062255859375, 299.52764892578125}, {125, 42}}</string>
+			<string>{{586.4207763671875, 183.82916259765625}, {125, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -366,7 +1319,7 @@
 			<array>
 				<dict>
 					<key>Bounds</key>
-					<string>{{444.12676056338012, 393.8492462311558}, {125, 42}}</string>
+					<string>{{943.45247467470836, 278.1507599030308}, {125, 42}}</string>
 					<key>Class</key>
 					<string>ShapedGraphic</string>
 					<key>FontInfo</key>
@@ -413,7 +1366,7 @@
 				</dict>
 				<dict>
 					<key>Bounds</key>
-					<string>{{435.12676056338012, 384.8492462311558}, {125, 42}}</string>
+					<string>{{934.45247467470836, 269.1507599030308}, {125, 42}}</string>
 					<key>Class</key>
 					<string>ShapedGraphic</string>
 					<key>FontInfo</key>
@@ -460,7 +1413,7 @@
 				</dict>
 				<dict>
 					<key>Bounds</key>
-					<string>{{426.12676056338012, 375.8492462311558}, {125, 42}}</string>
+					<string>{{925.45247467470836, 260.1507599030308}, {125, 42}}</string>
 					<key>Class</key>
 					<string>ShapedGraphic</string>
 					<key>FontInfo</key>
@@ -512,7 +1465,7 @@
 					<array>
 						<dict>
 							<key>Bounds</key>
-							<string>{{409.70598419619262, 340.52763673408549}, {53, 29}}</string>
+							<string>{{909.03169830752074, 224.82915040596049}, {53, 29}}</string>
 							<key>Class</key>
 							<string>ShapedGraphic</string>
 							<key>FitText</key>
@@ -560,7 +1513,7 @@
 						</dict>
 						<dict>
 							<key>Bounds</key>
-							<string>{{406.5792236328125, 337}, {109.12676239013672, 63.849246978759766}}</string>
+							<string>{{905.90493774414062, 221.301513671875}, {109.12676239013672, 63.849246978759766}}</string>
 							<key>Class</key>
 							<string>ShapedGraphic</string>
 							<key>FontInfo</key>
@@ -609,7 +1562,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{435.12674895810426, 218.8492462311558}, {125, 42}}</string>
+			<string>{{934.45246306943238, 103.1507599030308}, {125, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -656,7 +1609,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{426.12674895810426, 209.8492462311558}, {125, 42}}</string>
+			<string>{{925.45246306943238, 94.150759903030803}, {125, 42}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -708,7 +1661,7 @@
 			<array>
 				<dict>
 					<key>Bounds</key>
-					<string>{{410.70597259091676, 174.52763673408549}, {51, 29}}</string>
+					<string>{{910.03168670224488, 58.82915040596049}, {51, 29}}</string>
 					<key>Class</key>
 					<string>ShapedGraphic</string>
 					<key>FitText</key>
@@ -756,7 +1709,7 @@
 				</dict>
 				<dict>
 					<key>Bounds</key>
-					<string>{{406.57921202753664, 171}, {109.12676239013672, 63.849246978759766}}</string>
+					<string>{{905.90492613886477, 55.301513671875}, {109.12676239013672, 63.849246978759766}}</string>
 					<key>Class</key>
 					<string>ShapedGraphic</string>
 					<key>FontInfo</key>
@@ -801,7 +1754,7 @@
 		</dict>
 		<dict>
 			<key>Bounds</key>
-			<string>{{70.674285888671875, 230.00001073482645}, {159.4207763671875, 80.763819095477402}}</string>
+			<string>{{570, 114.30152440670145}, {159.4207763671875, 80.763819095477402}}</string>
 			<key>Class</key>
 			<string>ShapedGraphic</string>
 			<key>FontInfo</key>
@@ -898,7 +1851,7 @@
 	<key>MasterSheets</key>
 	<array/>
 	<key>ModificationDate</key>
-	<string>2013-12-17 09:13:07 +0000</string>
+	<string>2013-12-20 02:31:44 +0000</string>
 	<key>Modifier</key>
 	<string>yuhi</string>
 	<key>NotesVisible</key>
@@ -979,7 +1932,7 @@
 			</dict>
 		</array>
 		<key>Frame</key>
-		<string>{{498, 119}, {693, 922}}</string>
+		<string>{{217, 97}, {740, 922}}</string>
 		<key>ListView</key>
 		<true/>
 		<key>OutlineWidth</key>
@@ -993,7 +1946,7 @@
 		<key>SidebarWidth</key>
 		<integer>120</integer>
 		<key>VisibleRegion</key>
-		<string>{{27, 16}, {558, 767}}</string>
+		<string>{{0, 0}, {605, 767}}</string>
 		<key>Zoom</key>
 		<real>1</real>
 		<key>ZoomValues</key>
Binary file presen/images/exe_cpu_gpu.png has changed
--- a/presen/index.html	Tue Dec 17 20:00:18 2013 +0900
+++ b/presen/index.html	Sun Jan 05 07:48:13 2014 +0900
@@ -37,7 +37,7 @@
 
       <slide>
         <hgroup>
-          <h3>研究目的</h3>
+          <h3>研究目的(1/2)</h3>
         </hgroup>
         <article>
           <p>
@@ -46,7 +46,7 @@
             Ceriumの開発・改良を行っている
           </p>
           <p>
-            本研究では新たにGPU上での並列実行に対応
+            CeriumはGPU上での並列実行に対応している
           <p>
             <font color="red">ヘテロジニアス(異種混合)環境下でのプログラミングをサポート</font>
           </p>
@@ -56,7 +56,7 @@
 
       <slide>
         <hgroup>
-          <h3>CeriumによるGPGPUのサポート</h3>
+          <h3>研究目的(2/2)</h3>
         </hgroup>        
         <article>
           <p>
@@ -64,12 +64,17 @@
             と<font color="red">特別なチューニング</font>が必要となる。
             そこでCeriumを用いてその差を吸収し、自動的なチューニングを可能にする。
           </p>
-          <p>
-            チューニングの一環として、CPUとGPU両方でTaskを実行可能にした。
-          </p>
-          <p>
+            チューニングの一環として、
+            <ul>
+              <li>
+                Taskのデータ並列実行
+              </li>
+              <li>
+                CPUとGPU両方でTaskを実行
+              </li>
+              を可能にした
+            </ul>
             <img src='images/exe_cpu_gpu.png' style="height:300px">
-          </p>
         </article>
       </slide>
 
@@ -101,32 +106,7 @@
         </p>
         </article>
       </slide>
-
       <!--
-     <slide>
-        <hgroup>
-          <h3>GPUのアーキテクチャ</h3>
-        </hgroup>
-        <article>
-          <table  border="0" cellpadding="0" cellspacing="0">
-            <tbody>
-              <tr>
-                <td><img src='images/gpu_arch.png' style="height:400px"></td>
-                <td style="font-size:18pt;color:black">
-                  <p>
-                    GPU上のローカルメモリはCPUとメモリ空間が異なるのでメモリの共有ができない。
-                  </p>
-                  <p>
-                    メモリのコピー処理やTaskは、順にCommand Queueに
-                    enqueueし、実行される
-                  </p>
-                </td>
-              </tr>
-            </tbody>
-          </table>
-        </article>
-      </slide>
-
       <slide>
         <hgroup>
           <h3>Cerium OpenCL API比較</h3>
@@ -161,8 +141,336 @@
             </tr>
           </tbody>
         </table>
+        <br>
+        <p>
+          ユーザが生成したTaskはTaskManagerに送られ、依存関係を解決したあと、
+          各Schedulerに送られ並列実行される
+        </p>
+        </article>
+      </slide>
+     <slide>
+        <hgroup>
+          <h3>GPUの特徴</h3>
+        </hgroup>
+        <article>
+          <table  border="0" cellpadding="0" cellspacing="0">
+            <tbody>
+              <tr>
+                <td><img src='images/gpu_arch.png' style="height:400px"></td>
+                <td style="font-size:18pt;color:black">
+                  <p>
+                    GPU上のローカルメモリはCPUとメモリ空間が異なるのでメモリの共有ができない。
+                    よって、OpenCLのAPIを用いてデータを転送する必要がある。するとこの転送がネックになる。
+                  </p>
+                  <p>
+                    GPGPUは<font color="red">データの転送が頻繁に起こる</font>ようなTaskは並列度が出ない。
+                  </p>
+                </td>
+              </tr>
+            </tbody>
+          </table>
+        </article>
+      </slide>
+
+     <slide>
+       <hgroup>
+         <h3>データ並列</h3>
+       </hgroup>
+       <article>
+                   <table  border="0" cellpadding="0" cellspacing="0">
+            <tbody>
+              <tr>
+                <td><img src='images/gpu_data_parallel.png' style="height:400px"></td>
+                <td style="font-size:18pt;color:black">
+                  <p>
+                    データを2、3次元に分割し、分割した部分に対して処理を行う並列化手法
+                  </p>
+                  <p>
+                    タスク並列だと、タスクごとにinput data と output data を転送しなければならない
+                  </p>
+                  <p>
+                    データ並列なら全dataをGPUに送ることになる。結果的に転送の回数は減る
+                  </p>
+                  <p>
+                    OpenCLでは、NDRange APIを用いてデータ並列実行を行う
+                  </p>
+                </td>
+              </tr>
+            </tbody>
+          </table>
+       </article>
+     </slide>
+
+
+
+          <slide>
+       <hgroup>
+         <h3>OpenCLにおけるデータ並列</h3>
+       </hgroup>
+       <article>
+                   <table  border="0" cellpadding="0" cellspacing="0">
+            <tbody>
+              <tr>
+                <td><img src='images/ndrange_arch.png' style="height:450px"></td>
+                <td style="font-size:18pt;color:black">
+                  <p>
+                    CPUからinput/output data をGPUのglobal memoryにコピーし、データを分割
+                  </p>
+                  <p>分割したデータをWork Itemと呼ぶ</p>
+                  <p><font color="red">
+                      複数生成されたkernelに対してそれぞれのWork ItemとIDを割り当てる。
+                    </font>
+                    kernelは割り当てられたIDから自分が計算する範囲を求め、処理を行う。
+                  </p>
+                </td>
+              </tr>
+            </tbody>
+          </table>
+       </article>
+     </slide>
+
+      <slide>
+        <hgroup>
+          <h3>データ並列のための新しいAPI</h3>
+        </hgroup>
+        <article>
+          <table  border="0" cellpadding="0" cellspacing="0">
+            <tbody>
+              <tr>
+                <td>
+                  <img src="images/iterate.png" height="450"></img>
+                </td>
+                <td>
+                  <font style="font-size:18pt;color:black">
+                    <p>
+                      データ並列による実行を行う場合、一つの記述から複数のTaskを生成する必要がある
+                    </p>
+                    <p>
+                      生成した各TaskにIDとinput/output dataを割り当てる「iterate」というAPIを実装する
+                    </p>
+                  </font>
+                </td>
+          </tr></tbody></table>
+        </article>
+      </slide>
+
+      <slide>
+        <hgroup>
+          <h3>iterate API</h3>
+        </hgroup>
+        <article>
+          <p>
+            input data を二倍してoutput data に返す例題
+          </p>
+          <pre class="prettyprint" data-lang="main.cc(Iterate Task 生成)">
+    HTaskPtr twice = manager->create_task(Twice);
+    twice->set_inData(0,(memaddr)input, sizeof(float)*length);
+    twice->set_outData(0,(memaddr)output, sizeof(float)*length);
+    // paramに0~length-1(index)をsetしたtaskをlength個spawnする
+    twice->iterate(length);
+          </pre>
+          <p>
+            iterate(length)とすることで、TaskManagerがデータ並列用にTaskを生成
+          </p>
+          <p>
+            この例だとlength個のTaskが生成され、各Taskに0~length-1までのID(index)を割り振る
+          </p>
+            各Taskはinput dataの自分が割り当てられた要素に対して処理を行う
+          </p>
+        </article>
+      </slide>
+
+
+      <slide>
+        <hgroup>
+          <h3>iterate(Kernel)</h3>
+        </hgroup>
+        <article>
+          <pre class="prettyprint" data-lang="twice.cc(MultiCore)">
+            long i = (long)scheduler->x; // (long)scheduler->get_param(0);
+            output[i]=input[i]*2;
+          </pre>
+          <pre class="prettyprint" data-lang="twice.cl(GPU)">
+            long i = get_global_id(0);
+            output[i]=input[i]*2;
+          </pre>
+          <p>
+            MultiCoreではschedulerの持つメンバ変数x、OpenCLはget_global_idというAPIを用いて、
+            自分に割り振られたid(index)を取得する。その後、そのindexに対して処理を行う。
+          </p>
+          <p>
+            interateにおいても、CeriumとOpenCLはほぼ同じ形式でTaskの記述が可能である。
+          </p>
         </article>
       </slide>
+
+      <slide>
+        <hgroup>
+          <h3>iterateの実装</h3>
+        </hgroup>
+        <article>
+          <pre class="prettyprint" data-lang="HTask.cc">
+            void
+            HTask::iterate(long x) {
+                tl->dim=1;
+                tl->x=x;
+                // 1次元なのでy軸、z軸の要素数は1
+                tl->y=1;
+                tl->z=1;
+                mimpl->spawn_task(this);
+            }
+          </pre>
+          <p>渡されたlengthはwork item のx座標の要素数となる。</p>
+          <p>taskにデータ分割のためのdata(dimension, や workitem size)をsetする。</p>
+          <p>
+            Schedulerはtaskが持ってるdataを元にtaskを複数生成し、idを割り当てる。
+          </p>
+        </article>
+      </slide>
+
+      <slide>
+        <hgroup>
+          <h3>iterateの実装(多次元)</h3>
+        </hgroup>
+        <article>
+          <pre class="prettyprint" data-lang="HTask.cc">
+            void
+            HTask::iterate(long x, long y) {
+                tl->dim=2;
+                tl->x=x;
+                tl->y=y;
+                tl->z=1;
+                mimpl->spawn_task(this);
+            }
+          </pre>
+          <p>
+            引数を複数渡せば多次元のデータ分割ができる。3次元までサポートする。
+          </p>
+        </article>
+      </slide>
+
+      <slide>
+        <hgroup>
+          <h3>CeriumにおけるGPU上でのデータ並列</h3>
+        </hgroup>
+        <br>
+        <p>
+          GpuSchedulerがOpenCLのAPIを呼び出し、GPUの制御を行う</p>
+        <p>
+          TaskManagerからTaskを受け取り、Command Queueにenqueueする
+        </p>
+        <article>
+          <pre class="prettyprint" data-lang="GpuScheduler.cc">
+
+            clEnqueueNDRangeKernel(command_queue, kernel[cur], task->dim, NULL,
+                                   &task->x, &task->y, &task->z, NULL, NULL);
+          </pre>
+          <table  border="2" style="font-size:18pt;">
+            <tbody>
+              <h3 class="yellow">Taskの持つメンバ変数</h3>
+              <tr>
+                <td>dim</td>
+                <td>データを分割する次元数</td>
+              </tr>
+              <tr>
+                <td>x</td>
+                <td>x座標の要素数</td>
+              </tr>
+
+              <tr>
+                <td>y</td>
+                <td>y座標の要素数</td>
+              </tr>
+
+              <tr>
+                <td>z</td>
+                <td>z座標の要素数</td>
+              </tr>
+
+            </tbody>
+          </table>          
+
+        </article>
+      </slide>      
+
+     <slide>
+        <hgroup>
+          <h3>ベンチマーク</h3>
+        </hgroup>
+        <article>
+        <table >
+          <tbody>
+            <tr>
+              <td> <!--  benchmark -->
+                <table  border="2" style="font-size:18pt;">
+                  <tbody>
+                    <tr>
+                      <td bgcolor="#8091B5"></td>
+                      <td style="text-align: center;">Time</td>
+                    </tr>
+                    <tr>
+                      <td style="text-align: center;">1 CPU</td>
+                      <td style="text-align: right;">  ms</td>
+                    </tr>
+                    <tr>
+                      <td style="text-align: center;">2 CPU</td>
+                      <td style="text-align: right;"> ms</td>
+                    </tr>
+                    <tr>
+                      <td style="text-align: center;">6 CPU</td>
+                      <td style="text-align: right;"> ms</td>
+                    </tr>
+                    <tr>
+                      <td style="text-align: center;">12 CPU</td>
+                      <td style="text-align: right;"> ms</td>
+                    </tr>
+                    <tr>
+                      <td style="text-align: center;">24 CPU</td>
+                      <td style="text-align: right;"> ms</td>
+                    </tr>
+                    <tr>
+                      <td style="text-align: center;" bgcolor="#ffffcc">GPU</td>
+                      <td style="text-align: right;" bgcolor="#ffffcc">  ms</td>
+                    </tr>
+                  </tbody>
+                </table>
+              </td> <!-- /benchmark -->
+              <td>  <!-- system env -->
+                <h3 class="yellow">Word Count</h3>
+                <font size="5">
+                  10MBのテキストファイルを分割し、スペースと改行を区切り文字として並列にword数をカウントしていく。
+                  <h3 class="yellow">実験環境</h3>
+                  OS : MacOS 10.9.1<br>
+                  CPU : 2*2.66GHz 6-CoreIntel Xeon<br>
+                  Memory : 16GB<br>
+                  Compiler : Apple LLVM version 5.0(clang-500.2.79) <br>     (based on LLVM 3.1svn)<br>
+                  GPU :  NVIDIA Quadro K5000 4096 MB<br>
+                </font>
+                <h3 class="yellow">結果</h3>
+                <font size="5">
+                  結果
+                </font>
+              </td> <!--system env  -->
+            </tr>
+          </tbody>
+        </table>
+        <p>
+          あ
+        </p>
+        </article>
+      </slide>
+
+      <slide>
+        <hgroup>
+          <h3>ベンチマークのまとめ</h3>
+        </hgroup>
+        <article>
+          <p>
+            
+          </p>
+        </article>
+      </slide>
+
       <!--
       <slide>
         <hgroup>
@@ -261,7 +569,7 @@
     twice[c]->set_param(0,c,sizeof(int));
     twice[c]->set_inData(0, indata, sizeof (int)*length);
     twice[c]->set_outData(0, outdata, sizeof (int)*length);
-    twice[c]->set_cpu(CPU);
+    Twice[c]->set_cpu(CPU);
     twice[c]->spawn();
 }
 </pre>
@@ -307,162 +615,6 @@
 
       <slide>
         <hgroup>
-          <h3>データ並列のための新しいAPIの提案</h3>
-        </hgroup>
-        <article>
-          <table  border="0" cellpadding="0" cellspacing="0">
-            <tbody>
-              <tr>
-                <td>
-                  <img src="images/iterate.png" height="450"></img>
-                </td>
-                <td>
-                  <p><font style="font-size:18pt;color:black">
-                      データ並列による実行を行う場合、一つの記述から複数のTaskを生成する必要がある</p>
-                  <p>生成した各TaskにIDとinput/output dataを
-                    割り当てる「iterate」というAPIを実装する。</p>
-                    </font>
-                </p></td>
-          </tr></tbody></table>
-        </article>
-      </slide>
-      <slide>
-        <hgroup>
-          <h3>iterate API</h3>
-        </hgroup>
-        <article>
-          <pre class="prettyprint" data-lang="main.cc">
-    twice->set_inData(0,(memaddr)input, sizeof(float)*length);
-    twice->set_outData(0,(memaddr)output, sizeof(float)*length);
-    // paramに0~length-1(index)をsetしたtaskをlength個spawnする
-    // twice->spawn();
-    twice->iterate(length);
-          </pre>
-          <p>
-            spawn_task()ではなく、iterate(length)とすることで、
-            TaskManagerがデータ並列用にTaskを生成
-          </p>
-          <p>
-            この例だとlength個のTaskが生成され、各Taskに0~length-1までのID(index)を割り振る
-          </p>
-            各Taskは自分が割り振られたindexのinput dataに対して処理を行う
-          </p>
-
-        </article>
-      </slide>
-
-      <slide>
-        <hgroup>
-          <h3>iterate(Kernel)</h3>
-        </hgroup>
-        <article>
-          <pre class="prettyprint" data-lang="twice.cc">
-            long i = (long)s->get_param(0);
-            output[i]=input[i]*2;
-          </pre>
-          <pre class="prettyprint" data-lang="twice.cl">
-            long i = get_global_id(0);
-            output[i]=input[i]*2;
-          </pre>
-          <p>
-            Ceriumはget_param、OpenCLはget_global_idというAPIを用いて、
-            自分に割り振られたid(index)を取得する。その後、そのindexに対して処理を行う。
-          </p>
-          <p>
-            interateにおいても、CeriumはOpenCLとほぼ同じ記述が可能である。
-          </p>
-        </article>
-      </slide>
-
-      <slide>
-        <hgroup>
-          <h3>iterateの実装</h3>
-        </hgroup>
-        <article>
-          <pre class="prettyprint" data-lang="HTask.cc">
-            void
-            HTask::iterate(long x) {
-                tl->dim=1;
-                tl->x=x;
-                // 1次元なのでy軸、z軸の要素数は1
-                tl->y=1;
-                tl->z=1;
-                mimpl->spawn_task(this);
-            }
-          </pre>
-          <p>渡されたlengthはwork item のx座標の要素数となる。</p>
-          <p>taskにデータ分割のためのdata(dimension, や workitem size)をsetする。</p>
-          <p>
-            Schedulerはtaskが持ってるdataを元にtaskを複数生成し、idを割り当てる。
-          </p>
-        </article>
-      </slide>
-
-      <slide>
-        <hgroup>
-          <h3>iterate(多次元)</h3>
-        </hgroup>
-        <article>
-          <pre class="prettyprint" data-lang="HTask.cc">
-            void
-            HTask::iterate(long x, long y) {
-                tl->dim=2;
-                tl->x=x;
-                tl->y=y;
-                tl->z=1;
-                mimpl->spawn_task(this);
-            }
-          </pre>
-          <p>
-            引数を複数渡せば多次元のデータ分割ができる。3次元までサポートする。
-          </p>
-        </article>
-      </slide>
-
-      <slide>
-        <hgroup>
-          <h3>CeriumにおけるGPU上でのデータ並列</h3>
-        </hgroup>
-        <br>
-        <p>
-          GpuSchedulerがOpenCLのAPIを呼び出し、GPUの制御を行う。
-          TaskManagerからTaskを受け取り、Command Queueにenqueueする。
-        </p>
-        <article>
-          <pre class="prettyprint" data-lang="GpuScheduler.cc">
-
-            clEnqueueNDRangeKernel(command_queue, kernel[cur], 
-                                   dimension, NULL, gws, 0, 0, NULL, NULL);
-          </pre>
-          <table  border="2" style="font-size:18pt;">
-            <tbody>
-              <tr>
-                <td>dimension</td>
-                <td>データを分割する次元数</td>
-              </tr>
-              <tr>
-                <td>gws[0]</td>
-                <td>x座標の要素数</td>
-              </tr>
-
-              <tr>
-                <td>gws[1]</td>
-                <td>y座標の要素数</td>
-              </tr>
-
-              <tr>
-                <td>gws[2]</td>
-                <td>z座標の要素数</td>
-              </tr>
-
-            </tbody>
-          </table>          
-
-        </article>
-      </slide>      
-
-      <slide>
-        <hgroup>
           <h3>まとめ</h3>
         </hgroup>
         <article>