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--- wiki:aca2017:lectures [2018/02/14 22:05] – [Feb 13, Tue: Machine Learning Acceleration: Eyeriss] Andreas Moshovos
+++ wiki:aca2017:lectures [2018/03/27 11:12] (current) – [Mar 20, Tue: Google's TPU] Andreas Moshovos
@@ Line 1: / Line 1: @@
 ====== Lecture Material and Schedule ======
+====== Alternate Execution Models and Architectures ======
 ===== Jan. Tue 9: Meltdown, Virtual Memory and Caches =====
@@ Line 45: / Line 47: @@
   * {{ :wiki:aca2017:eyeriss-isca.pdf |Eyeriss ISCA}}{{ :wiki:aca2017:eyeriss.pptx |Slides}}
-===== Feb 15, Thu: Machine Learning Acceleration: Efficient Inference Engine =====
+===== Feb 15, Thu:  Efficient Inference Engine =====
   * {{ :wiki:aca2017:eie.pdf | EIE paper ISCA}}, {{ :wiki:aca2017:deep_compression.pdf | Deep Compression paper ICLR}}, {{ :wiki:aca2017:eie_presentation.pptx | Slides (base deck courtesy of Kevin Siu}}
+===== Week of Feb 22 ======
+Reading week, no lectures.
+===== Feb 26, Tue:  SCNN =====
+  * {{ :wiki:aca2017:scnn.pptx | Slides}}, [[https://dl.acm.org/citation.cfm?id=3080254| Link to ISCA paper through ACM's Library]] you should be able to access this through a UofT network connection, otherwise another version is on [[https://arxiv.org/abs/1708.04485|Arxiv]]
+===== Mar 1, Thurs:  Value-Based Deep Learning Acceleration =====
+  * {{ :wiki:aca2017:based-deep-learning_1_.pdf | Overview paper}}
+===== Mar 20, Tue:  Google's TPU =====
+  * {{ :wiki:aca2017:tpu.pdf | ISCA 2017 Paper (arxiv version)}} , {{ :wiki:aca2017:tpu.pptx | slides}}
+===== Mar 27, Tue:  Out-Of-Order Circuit Structures and Optimizations =====
+  * {{ :wiki:aca2017:scheduler_structures.ppt | Structures}}
+  * {{ :wiki:aca2017:scheduler-optimizations.pptx |Optimizations}}