Travelled to:1 × Canada
1 × France
4 × USA
Collaborated with:H.Jin S.Wu W.Qiang S.Di L.Lu L.Zhou H.Sun J.Pazat E.Rodriguez H.Jiang H.Chen B.B.Zhou Z.Xie D.Huang S.Ibrahim H.Liu Xuan Peng Hulin Dai H.J.0001 Weiliang Ma Q.Xiong F.Yang X.Qian J.Liang B.He Z.Wang X.Luo J.Zhong
Talks about:virtual (2) applic (2) time (2) real (2) grid (2) gpu (2) asynchron (1) parallel (1) communic (1) capuchin (1)
Person: Xuanhua Shi
DBLP: Shi:Xuanhua
Contributed to:
2015
2014201320102008
2006
2020Wrote 7 papers:
- PPoPP-2015-ShiLDHJLWLZ #gpu #graph #hybrid #optimisation
- Optimization of asynchronous graph processing on GPU with hybrid coloring model (XS, JL, SD, BH, HJ, LL, ZW, XL, JZ), pp. 271–272.
- HPDC-2014-ChenWDZXJS #clustering #scheduling
- Communication-driven scheduling for virtual clusters in cloud (HC, SW, SD, BBZ, ZX, HJ, XS), pp. 125–128.
- HPDC-2013-ZhouWSJS #parallel #realtime
- Supporting parallel soft real-time applications in virtualized environment (LZ, SW, HS, HJ, XS), pp. 117–118.
- HPDC-2010-HuangSILLWJ #named #pipes and filters #realtime
- MR-scope: a real-time tracing tool for MapReduce (DH, XS, SI, LL, HL, SW, HJ), pp. 849–855.
- HPDC-2008-ShiPRJJ #adaptation #fault tolerance #grid #named #safety #using
- Dynasa: adapting grid applications to safety using fault-tolerant methods (XS, JLP, ER, HJ, HJ), pp. 237–238.
- SAC-2006-ShiJQ #named #towards
- ALTER: first step towards dependable grids (XS, HJ, WQ), pp. 805–806.
- ASPLOS-2020-PengSD0MXYQ #gpu #learning #memory management #named
- Capuchin: Tensor-based GPU Memory Management for Deep Learning (XP, XS, HD, HJ0, WM, QX, FY, XQ), pp. 891–905.