Travelled to:1 × Canada
1 × China
1 × USA
Collaborated with:B.He J.He H.P.Huynh K.Yang R.Fang N.K.Govindaraju Q.Luo P.V.Sander Q.Jiao T.Mitra S.Zhang S.Jha X.Cheng W.T.Tang R.Zhao Y.Liang H.P.Huyng X.Li R.S.M.Goh
Talks about:processor (3) process (3) join (3) architectur (2) graphic (2) improv (2) effici (2) queri (2) intel (2) xeon (2)
Person: Mian Lu
DBLP: Lu:Mian
Contributed to:
2015
20152013
20082007Wrote 7 papers:
- CGO-2015-JiaoLHM #concurrent #energy #execution #kernel
- Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS (QJ, ML, HPH, TM), pp. 1–11.
- CGO-2015-TangZLLHLG #multi #optimisation
- Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi (WTT, RZ, ML, YL, HPH, XL, RSMG), pp. 136–145.
- VLDB-2015-JhaHLCH #approach #in memory #memory management
- Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach (SJ, BH, ML, XC, HPH), pp. 642–653.
- VLDB-2013-HeLH #architecture #cpu #gpu
- Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture (JH, ML, BH), pp. 889–900.
- VLDB-2013-ZhangHHL #architecture #cpu #gpu #named #parallel #performance #query #towards
- OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures (SZ, JH, BH, ML), pp. 1374–1377.
- SIGMOD-2008-HeYFLGLS #relational
- Relational joins on graphics processors (BH, KY, RF, ML, NKG, QL, PVS), pp. 511–524.
- SIGMOD-2007-FangHLYGLS #named #query #using
- GPUQP: query co-processing using graphics processors (RF, BH, ML, KY, NKG, QL, PVS), pp. 1061–1063.