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wiki:aca2019:lectures [2019/02/20 22:57] Andreas Moshovoswiki:aca2019:lectures [2019/04/01 15:07] (current) – [Thursday, Mar 28] Andreas Moshovos
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 ====== Tuesday, Feb 26 ====== ====== Tuesday, Feb 26 ======
-  * Introduction to Deep Neural Network Acceleration: {{ :wiki:aca2019:dadiannao.pdf | DaDiaNao}} +  * Introduction to Deep Neural Network Acceleration and the DaDianNao Accelerator: {{ :wiki:aca2019:dadiannao.pdf | DaDiaNao}} {{ :wiki:aca2019:into_to_ml_acceleration_dadiannao.pptx | Slides}}
-  * Dataflow and Data Reuse: {{ :wiki:aca2019:eyeriss-isca.pdf | Eyeriss }}, {{ :wiki:aca2019:eyeriss.pptx | slides}}+
  
 ====== Thursday, Feb 28 ====== ====== Thursday, Feb 28 ======
 +  * Dataflow and Data Reuse: {{ :wiki:aca2019:eyeriss-isca.pdf | Eyeriss }}, {{ :wiki:aca2019:eyeriss.pptx | slides}}
 +
 +====== Thursday, Mar 14 ======
   * Deep Compression and the Efficient Inference Engine: {{ :wiki:aca2019:deep_compression.pdf | Deep Compression}}, {{ :wiki:aca2019:eie.pdf | EIE}}, {{ :wiki:aca2019:eie_presentation.pptx | slides}}   * Deep Compression and the Efficient Inference Engine: {{ :wiki:aca2019:deep_compression.pdf | Deep Compression}}, {{ :wiki:aca2019:eie.pdf | EIE}}, {{ :wiki:aca2019:eie_presentation.pptx | slides}}
 +
 +====== Tuesday, Mar 19 ======
 +  * SCNN: {{ :wiki:aca2019:scnn.pptx | slides}},  [[https://dl.acm.org/citation.cfm?id=3080254|Paper at ACM Digital Library]], [[https://arxiv.org/abs/1708.04485|Arxiv version]]
 +
 +====== Thursday, Mar 28 ======
 +  * Value-Based Deep Learning Inference Acceleration (Cnvlutin, Stripes, Loom, Pragmatic, Tactical, Laconic and DpRed)
 +
 +====== Tuesday, Mar 26 ======
 +  * Training: Hongyu Zhu (Gennady Pekhimenko group) {{ :wiki:aca2019:lec_3.26.pptx | slides}}
 +
 +====== Thursday, Mar 28 ======
 +  * TPU 1: {{ :wiki:aca2019:tpu.pdf | Paper}} {{ :wiki:aca2019:tpu.pptx | Slides}}
 +
 +====== Tuesday, Apr 2 ======
 +
 +  * Efficient Speech Engine {{ :wiki:aca2019:lstms_-_ese.pptx | Slides}} [[https://dl.acm.org/citation.cfm?id=3021745|Paper at ACM Digital Library]]
 +