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Travelled to:
1 × Austria
1 × Canada
1 × China
1 × France
1 × Germany
8 × USA
Collaborated with:
M.F.P.O'Boyle J.E.B.Moss S.Kulkarni E.Park L.Pouchet A.Cohen F.V.Agakov E.V.Bonilla M.A.Alvarez G.Fursin J.Thomson C.K.I.Williams C.Wimmer D.Simon C.Bastoul J.Singer G.Brown I.Watson P.Sadayappan T.M.Jones S.Bartolini B.D.Bus O.Temam B.Franke M.Toussaint
Talks about:
optim (7) use (7) compil (4) predict (3) machin (3) model (3) learn (3) polyhedr (2) heurist (2) specif (2)

Person: John Cavazos

DBLP DBLP: Cavazos:John

Contributed to:

CGO 20132013
CGO 20122012
OOPSLA 20122012
CGO 20112011
DATE 20082008
PLDI 20082008
CGO 20072007
ISMM 20072007
CC 20062006
CGO 20062006
ICML 20062006
OOPSLA 20062006
PLDI 20042004

Wrote 13 papers:

CGO-2013-KulkarniCWS #automation #heuristic #machine learning #using
Automatic construction of inlining heuristics using machine learning (SK, JC, CW, DS), p. 12.
CGO-2012-ParkCA #graph #modelling #predict #using
Using graph-based program characterization for predictive modeling (EP, JC, MAA), pp. 196–206.
OOPSLA-2012-KulkarniC #compilation #machine learning #optimisation #problem #using
Mitigating the compiler optimization phase-ordering problem using machine learning (SK, JC), pp. 147–162.
CGO-2011-ParkPCCS #modelling #optimisation #predict
Predictive modeling in a polyhedral optimization space (EP, LNP, JC, AC, PS), pp. 119–129.
DATE-2008-JonesBBCO #compilation #energy
Instruction Cache Energy Saving Through Compiler Way-Placement (TMJ, SB, BDB, JC, MFPO), pp. 1196–1201.
PLDI-2008-PouchetBCC #multi #optimisation
Iterative optimization in the polyhedral model: part ii, multidimensional time (LNP, CB, AC, JC), pp. 90–100.
CGO-2007-CavazosFABOT #compilation #optimisation #performance #using
Rapidly Selecting Good Compiler Optimizations using Performance Counters (JC, GF, FVA, EVB, MFPO, OT), pp. 185–197.
ISMM-2007-SingerBWC #garbage collection
Intelligent selection of application-specific garbage collectors (JS, GB, IW, JC), pp. 91–102.
CC-2006-CavazosMO #algorithm #hybrid #optimisation #question
Hybrid Optimizations: Which Optimization Algorithm to Use? (JC, JEBM, MFPO), pp. 124–138.
CGO-2006-AgakovBCFFOTTW #machine learning #optimisation #using
Using Machine Learning to Focus Iterative Optimization (FVA, EVB, JC, BF, GF, MFPO, JT, MT, CKIW), pp. 295–305.
ICML-2006-BonillaWACTO #predict
Predictive search distributions (EVB, CKIW, FVA, JC, JT, MFPO), pp. 121–128.
OOPSLA-2006-CavazosO #compilation #using
Method-specific dynamic compilation using logistic regression (JC, MFPO), pp. 229–240.
PLDI-2004-CavazosEM #heuristic
Inducing heuristics to decide whether to schedule (JC, JEBM), pp. 183–194.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.