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| wiki:aca2019:project [2019/02/28 00:36] – [Deliverables] Andreas Moshovos | wiki:aca2019:project [2019/02/28 01:04] (current) – [Suggested Papers to Validate/Expand] Andreas Moshovos |
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| | ===== Suggested Papers to Validate/Expand ===== |
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| | * [[https://ieeexplore.ieee.org/document/8416871|Bit-Fusion]] |
| | * [[https://dl.acm.org/citation.cfm?id=3001163| Efficient Inference Engine]] |
| | * [[https://www.cc.gatech.edu/~hadi/doc/paper/2018-isca-snapea.pdf|SnapPea]] |
| | * [[https://ieeexplore.ieee.org/document/8192478|SCNN]] |
| | * [[https://ieeexplore.ieee.org/document/7783723|Cambricon-X]] |
| | * [[https://ieeexplore.ieee.org/abstract/document/7284058/|ShiDaDianNao]] |
| | * [[https://dl.acm.org/citation.cfm?id=3195664|Fused-layer CNN accelerators]] |
| | * [[https://dl.acm.org/citation.cfm?id=3037702|TETRIS]] |
| | * [[https://dl.acm.org/citation.cfm?id=3021745|ESE: efficient speech recognition engine with sparse LSTM on FPGA]] |
| | * Or take a look at this list [[https://github.com/fengbintu/Neural-Networks-on-Silicon|https://github.com/fengbintu/Neural-Networks-on-Silicon]] |
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| | And feel free to search online for others. There is tons of very interesting and excellent work that I have not had the chance to include above. By no means is the above a complete list. I listed works that I thought would be "reasonable" to try to recreate (in part) as part of a course project. Keep in mind, we are validating work. We get the benefit of knowing what to look for and what to evaluate. It is a lot harder and time consuming to start from scratch. There was a lot more time/work spent to arrive at these configurations and choices. |