Travelled to:1 × Canada
1 × France
1 × USA
1 × United Kingdom
Collaborated with:O.Temam Y.Chen L.Eeckhout Z.Du Y.Chen S.Fang T.Chen N.Sun J.Wang Y.Huang G.Fursin L.Peng J.Deng Y.Fang Y.Wang H.Li P.Ienne D.Novo X.Li
Talks about:optim (2) iter (2) throughput (1) footprint (1) ubiquit (1) retrain (1) network (1) hardwar (1) dataset (1) acceler (1)
Person: Chengyong Wu
DBLP: Wu:Chengyong
Contributed to:
2015
20142012
2010Wrote 4 papers:
- DATE-2015-DengFDWLTINLCW #fault #hardware #network
- Retraining-based timing error mitigation for hardware neural networks (JD, YF, ZD, YW, HL, OT, PI, DN, XL, YC, CW), pp. 593–596.
- ASPLOS-2014-ChenDSWWCT #named #ubiquitous
- DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning (TC, ZD, NS, JW, CW, YC, OT), pp. 269–284.
- ASPLOS-2012-ChenFETW #optimisation
- Iterative optimization for the data center (YC, SF, LE, OT, CW), pp. 49–60.
- PLDI-2010-ChenHEFPTW #dataset #optimisation
- Evaluating iterative optimization across 1000 datasets (YC, YH, LE, GF, LP, OT, CW), pp. 448–459.