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wiki:aca2019:lectures [2019/01/11 10:18] – [Micro-architecture Side-Channel Based Attacks: Spectre, Meltdown. Mitigation: CEASER] Andreas Moshovoswiki:aca2019:lectures [2019/04/01 15:07] (current) – [Thursday, Mar 28] Andreas Moshovos
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        * {{ :wiki:aca2019:micro_2018_2_slides.pptx |Slides from MICRO presentation}}        * {{ :wiki:aca2019:micro_2018_2_slides.pptx |Slides from MICRO presentation}}
  
 +====== Thursday, Jan 17 ======
 +===== OOO Core Scheduler Optimizations =====
 +  * {{ :wiki:aca2019:scheduler-optimizations.pptx |Lecture slides}} 
  
 +===== Questionnaire =====
 +
 +
 +==== Reading ====
 +
 +  *  Dan Ernst, Todd M. Austin: {{ :wiki:aca2019:isca02-tagelim.pdf |Efficient Dynamic Scheduling Through Tag Elimination}}. ISCA 2002: 37-46
 +  * Dan Ernst, Andrew Hamel, Todd M. Austin:{{ :wiki:aca2019:cyclone.pdf | Cyclone: A Broadcast-Free Dynamic Instruction Scheduler with Selective Replay}}. ISCA 2003: 253-262
 +
 +====== Tuesday, Jan 22 ======
 +===== Simplescalar's Sim-OutOrder =====
 +  * {{ :wiki:aca2019:simplescalar.ppt | Simplescalar slides}}
 +
 +====== Thursday, Jan 24 ======
 +  * Everything you ever wanted to know about memory technology and architecture, J Thomas Pawlowski, Fellow and Chief Technologist, Micron Technology, Inc.
 +
 +====== Tuesday, Feb 5 ======
 +
 +  * Cyclone, Matrix Scheduler, and Scheduling Priorities
 +
 +====== Thursday, Feb 7 ======
 +
 +  *  Critical Path Prediction: {{ :wiki:aca2019:isca01a.pdf | Focusing Instruction Policies via Critical Path Prediction }}
 +  * {{ :wiki:aca2019:critical_path.pptx | Slides}}
 +
 +====== Tuesday, Feb 12 ======
 +
 +  * {{ :wiki:aca2019:sp4.pdf | A Study of Slipstream Processors}}
 +  * {{ :wiki:aca2019:slipstream.pptx | Slipstream Slides}}
 +
 +
 +====== Thursday, Feb 14 ======
 +
 +  * {{ :wiki:aca2019:isca.multiscalar.pdf | Multiscalar }}
 +  * {{ :wiki:aca2019:multiscalar.pptx | Multiscalar Slides}}
 +
 +==== Questionnaire ====
 +[[wiki:aca2019:multiscalar.q|Questionnaire]]
 +
 +====== Tuesday, Feb 26 ======
 +  * Introduction to Deep Neural Network Acceleration and the DaDianNao Accelerator: {{ :wiki:aca2019:dadiannao.pdf | DaDiaNao}} {{ :wiki:aca2019:into_to_ml_acceleration_dadiannao.pptx | Slides}}
 +
 +====== 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}}
 +
 +====== 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]]