Travelled to:1 × Canada
1 × France
2 × USA
Collaborated with:S.Byna B.Behzad Y.Yao R.P.Adams S.M.Wild M.Snir J.Regier A.Miller J.McAuliffe M.D.Hoffman D.Lang D.Schlegel J.Huchette H.V.T.Luu R.A.Aydt Q.Koziol H.Luu M.Winslett W.Gropp R.B.Ross P.H.Carns K.Harms J.Snoek O.Rippel K.Swersky R.Kiros N.Satish N.Sundaram M.M.A.Patwary
Talks about:model (2) multiplatform (1) supercomput (1) framework (1) petascal (1) parallel (1) behavior (1) bayesian (1) astronom (1) scalabl (1)
Person: Prabhat
DBLP: Prabhat:
Contributed to:
2015
201520142013Wrote 5 papers:
- HPDC-2015-LuuWGRCHPBY #behaviour #multi #platform
- A Multiplatform Study of I/O Behavior on Petascale Supercomputers (HL, MW, WG, RBR, PHC, KH, P, SB, YY), pp. 33–44.
- ICML-2015-RegierMMAHLSP #generative #image #named
- Celeste: Variational inference for a generative model of astronomical images (JR, AM, JM, RPA, MDH, DL, DS, P), pp. 2095–2103.
- ICML-2015-SnoekRSKSSPPA #network #optimisation #scalability #using
- Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
- HPDC-2014-BehzadBWPS #modelling #parallel #performance
- Improving parallel I/O autotuning with performance modeling (BB, SB, SMW, P, MS), pp. 253–256.
- HPDC-2013-BehzadHLABYKP #framework
- A framework for auto-tuning HDF5 applications (BB, JH, HVTL, RAA, SB, YY, QK, P), pp. 127–128.