Travelled to:1 × Portugal
1 × United Kingdom
7 × USA
Collaborated with:L.Zhang M.Wu M.Costa M.Castro V.Prabhakaran T.L.Rodeheffer W.Lin Z.Guo H.Guo M.Sivathanu Tapan Chugh Sanjay S. Singapuram J.Zhou H.Zhou J.Zhang X.Wang M.Peinado J.MacCormick N.Murphy M.Najork C.A.Thekkath G.Hu J.Yang J.Crowcroft A.I.T.Rowstron P.Barham E.Boutin J.Ekanayake B.Shi Z.Qian T.Xiao X.Zhao C.Ye W.Chen X.Fan R.Chen S.McDirmid C.Liu F.Long Z.Xu H.Lin X.Liu Z.Zhang
Talks about:data (3) parallel (2) softwar (2) reduct (2) optim (2) end (2) infrastructur (1) cybertron (1) vigilant (1) transact (1)
Person: Lidong Zhou
DBLP: Zhou:Lidong
Contributed to:
2014
20142012
2011
20102008200720052004
2019Wrote 10 papers:
- OOPSLA-2014-XiaoGZZZYWLCZ #named #reduction #source code
- Cybertron: pushing the limit on I/O reduction in data-parallel programs (TX, ZG, HZ, JZ, XZ, CY, XW, WL, WC, LZ), pp. 895–908.
- OSDI-2014-BoutinELSZQWZ #coordination #named #scalability #scheduling
- Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (EB, JE, WL, BS, JZ, ZQ, MW, LZ), pp. 285–300.
- OSDI-2012-GuoFCZZMLLZZ #optimisation #pipes and filters
- Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE (ZG, XF, RC, JZ, HZ, SM, CL, WL, JZ, LZ), pp. 121–133.
- SOSP-2011-GuoWZHYZ #interface #model checking #reduction
- Practical software model checking via dynamic interface reduction (HG, MW, LZ, GH, JY, LZ), pp. 265–278.
- FSE-2010-WuLWXLLGGZZ #data flow
- Language-based replay via data flow cut (MW, FL, XW, ZX, HL, XL, ZG, HG, LZ, ZZ), pp. 197–206.
- OSDI-2008-PrabhakaranRZ #transaction
- Transactional Flash (VP, TLR, LZ), pp. 147–160.
- SOSP-2007-CostaCZZP #named
- Bouncer: securing software by blocking bad input (MC, MC, LZ, LZ, MP), pp. 117–130.
- SOSP-2005-CostaCCRZZB #internet #named
- Vigilante: end-to-end containment of internet worms (MC, JC, MC, AITR, LZ, LZ, PB), pp. 133–147.
- OSDI-2004-MacCormickMNTZ #abstraction #framework #named
- Boxwood: Abstractions as the Foundation for Storage Infrastructure (JM, NM, MN, CAT, LZ), pp. 105–120.
- ASPLOS-2019-SivathanuCSZ #learning #named #predict
- Astra: Exploiting Predictability to Optimize Deep Learning (MS, TC, SSS, LZ), pp. 909–923.