CSE 590G Architecture Seminar
Fall 2015 — Monday, 12:30pm — CSE 303
Subscribe to the calendar: iCal or Google Calendar.| Date | Discussion Leader | Paper |
|---|---|---|
| Oct 5 | Everyone |
Assign papers |
| Oct 12 | Carlo and Thierry |
DjiNN and Tonic: DNN as a Service And Its Implications for Warehouse Scale Computers |
| Oct 19 | Cong and Ming |
Profiling a warehouse-scale computer |
| Oct 26 | Emily and Whitney |
Software Defined Batteries |
| Nov 2 | Amrita and Armin |
PolyMage: Automatic Optimization for Image Processing Pipelines |
| Nov 9 | Eddie and Sung |
The Load Slice Core Microarchitecture |
| Nov 16 | Jared and Brandon Myers |
Beyond the PDP-11: Architectural support for a memory-safe C abstract machine |
| Nov 23 | James and Liang |
COZ: Finding Code that Counts with Causal Profiling |
| Nov 30 | Mark Wyse |
Semantic locality and context-based prefetching using reinforcement learning |
| Dec 7 | Brandon Holt and Vincent |
Enhancing Mobile Apps To Use Sensor Hubs Without Programmer Effort |
Paper Suggestions
- MobileHub: UW Ubicomp paper on automatic offload to co-processors in mobile phones. I thought it might be fun to talk about how people are using the increasing number of co-processors. We could either read this paper or follow its citations to find other papers about the co-processors.
- Always-on Vision Processing Unit for Mobile Applications. Brendan Barry, Cormac Brick, Fergal Connor, David Donohoe, David Moloney, Richard Richmond, Martin O’Riordan, Vasile Toma (Movidius). IEEE Micro 2015.
- Starfish: Efficient Concurrency Support for Computer Vision Applications. Robert LiKamWa, Lin Zhong (Rice University). MobiSys 2015.
- DjiNN and Tonic: DNN as a Service And Its Implications for Warehouse Scale Computers. Johann Hauswald, Jason Mars, Linjia Tang. ISCA 2015. A continuation of the Intelligent Personal Assistant ("IPA") machine-learning applications. This take is on their findings on GPU infrastructure applied in the datacenter context.
- PolyMage: Automatic Optimization for Image Processing Pipelines. Ravi Teja Mullapudi, Vinay Vasista, Uday Bondhugula. ASPLOS 2015.
- Profiling a warehouse-scale computer. Svilen Kanev, Juan Pablo Darago, Kim Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David Brooks. ISCA 2015.
- Software Defined Batteries. Anirudh Badam, Ranveer Chandra, Jon A. Dutra (Microsoft), Anthony Ferrese (Tesla Motors), Steve Hodges (Microsoft), Pan Hu (University of Massachusetts Amherst), Julia Meinershagen, Thomas Moscibroda, Bodhi Priyantha (Microsoft), Evangelia Skiani (Columbia Univeristy). SOSP 2015.
- Probable cause: the deanonymizing effects of approximate DRAM. Amir Rahmati, Matthew Hicks, Daniel E. Holcomb, Kevin Fu. ISCA 2015.
- Heracles: Improving Resource Efficiency at Scale. David Lo (Stanford/Google), Liqun Cheng (Google), Rama Govindaraju (Google), Parthasarathy Ranganathan (Google), and Christos Kozyrakis (Stanford). ISCA 2015
- The Load Slice Core Microarchitecture Trevor E. Carlson (Uppsala University), Wim Heirman (Intel), Osman Allam (Ghent University), Stefanos Kaxiras (Uppsala University), and Lieven Eeckhout (Ghent University). ISCA 2015
- Beyond the PDP-11: Architectural support for a memory-safe C abstract machine, David Chisnall and Colin Rothwell (University of Cambridge), Brooks Davis (SRI International), Robert N.M. Watson, Jonathan Woodruff, Munraj Vadera, and Simon W. Moore (University of Cambridge), Peter G. Neumann (SRI International), and Michael Roe (University of Cambridge). ASPLOS 2015.
- COZ: Finding Code that Counts with Causal Profiling. Charlie Curtsinger and Emery Berger. SOSP 2015.