Slides

db/cv/okennedy/grants.json

@@ -1,4 +1,22 @@
 [
+  { "title" : "SCC-PG: A Sustainable and Connected Community-Scale Food System to Empower Consumers, Farmers, and Retailers", 
+    "agency" : "NSF: SCC", 
+    "role" : "Co-PI", 
+    "amount" : 150000, 
+    "effort" : "20%", 
+    "status" : "submitted", 
+    "start" : "08/15/2021", "end" : "08/14/2022",
+    "type" : "grant",
+    "commitment" : {  },
+    "projects" : ["vizier"],
+    "copis" : [
+      "Samina Raja",
+      "Sara Behdad",
+      "Debabrata Talukdar",
+      "Srirangaraj Setlur",
+      "Emmanuel Frimpong Boamah"
+    ]
+  },
   { "title" : "HDR Institute: Institute for data enabled functional soft material innovation",
     "agency" : "NSF: HDR", 
     "role" : "Co-PI", 
@@ -30,7 +48,7 @@
     "role" : "Co-PI", 
     "amount" : 50000, 
     "effort" : "20%", 
-    "status" : "submitted", 
+    "status" : "rejected", 
     "start" : "11/01/2020", "end" : "02/28/2021",
     "type" : "grant",
     "commitment" : {  },

src/teaching/cse-562/2021sp/slide/2021-03-09-CostOpt1.erb

@@ -125,7 +125,7 @@ textbook: Ch. 16
       <tr class="fragment" data-fragment-index="7">
         <td style="vertical-align: middle;">Sort <span class="fragment" data-fragment-index="8">(In-Mem)</span></td>
         <td style="vertical-align: middle;">$\tau(R)$</td>
-        <td class="fragment" data-fragment-index="8">$0$</td>
+        <td class="fragment" data-fragment-index="8">$\textbf{io}(R)$</td>
         <td class="fragment" data-fragment-index="9">$O(|R|)$</td>
       </tr>
       <tr>
@@ -267,8 +267,6 @@ textbook: Ch. 16
   <section>
     <h3>Cardinality Estimation</h3>
     <p class="fragment">Unlike estimating IOs, cardinality estimation doesn't care about the algorithm, so we'll just be working with raw RA.</p>
-
-    <p class="fragment">Also unlike estimating IOs, we care about the cardinality of $|Q(R)|$ as a whole, rather than the contribution of each individual operator.</p>
   </section>
 
   <section>

src/teaching/cse-562/2021sp/slide/2021-03-11-CostOpt2.erb

@@ -15,12 +15,6 @@ textbook: Ch. 16
     </ol>
   </section>
 
-  <section>
-    <h3>Accounting</h3>
-    <p style="margin-top: 50px;">Figure out the cost of each <b>individual</b> operator.</p>
-    <p style="margin-top: 50px;">Only count the number of IOs <b>added</b> by each operator.</p>
-  </section>
-
   <section>
     <table style="font-size: 70%">
       <tr><th>Operation</th><th>RA</th><th>Total IOs (#pages)</th><th>Memory (#tuples)</th></tr>
@@ -67,8 +61,8 @@ textbook: Ch. 16
         <td  >$O(1)$</td>
       </tr>
       <tr>
-        <td>(Hash) Index Scan</td>
-        <td>$Index(R, c)$</td>
+        <td span  >(Hash) Index Scan</td>
+        <td span  >$Index(R, c)$</td>
         <td  >$1$</td>
         <td  >$O(1)$</td>
       </tr>
@@ -135,7 +129,7 @@ textbook: Ch. 16
       <tr  >
         <td><span  >(In-Mem)</span> Aggregate</td>
         <td>$\gamma_A(R)$</td>
-        <td>$0$</td>
+        <td  >$\textbf{io}(R)$</td>
         <td  >$adom(A)$</td>
       </tr>
       <tr>
@@ -145,14 +139,6 @@ textbook: Ch. 16
         <td  >[Sort]</td>
       </tr>
     </table>
-
-    <ol style="font-size: 50%;">
-      <li>Tuples per Page ($\mathcal P$) <span>– Normally defined per-schema</span></li>
-      <li>Size of $R$ ($|R|$)</li>
-      <li>Pages of Buffer ($\mathcal B$)</li>
-      <li>Keys per Index Page ($\mathcal I$)</li>
-      <li>Number of distinct values of $A$ ($adom(A)$)</li>
-    </ol>
   </section>
 </section>