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Travelled to:
1 × Austria
1 × China
1 × Germany
1 × New Zealand
1 × Sweden
1 × United Kingdom
2 × Canada
9 × USA
Collaborated with:
A.Diwan D.Zaparanuks P.F.Sweeney A.Adamoli D.Makarov L.Mastrangelo N.Nystrom T.Mytkowicz T.M.Chilimbi M.Vitásek W.Binder M.Jovic M.Burtscher M.C.Mozer M.Hind A.B.d.Oliveira S.Fischmeister L.Ponzanelli A.Mocci M.Lanza D.F.Bacon P.Cheng D.Frampton D.Grove V.T.Rajan D.Clarke T.Clear K.Fisler S.Krishnamurthi J.G.Politz V.Tirronen T.Wrigstad
Talks about:
profil (5) java (4) data (3) use (3) algorithm (2) perform (2) analysi (2) visual (2) vertic (2) shadow (2)

Person: Matthias Hauswirth

DBLP DBLP: Hauswirth:Matthias

Contributed to:

GPCE 20152015
OOPSLA 20152015
ITiCSE-WGR 20142014
ASPLOS 20132013
PASTE 20132013
PLDI 20122012
ECOOP 20112011
MoDELS 20112011
OOPSLA 20112011
PLDI 20102010
SOFTVIS 20102010
ASPLOS 20092009
CC 20062006
OOPSLA 20052005
ASPLOS 20042004
OOPSLA 20042004
PLDI 20022002
OOPSLA 20192019

Wrote 18 papers:

GPCE-2015-MakarovH #compilation #multi #named
CLOP: a multi-stage compiler to seamlessly embed heterogeneous code (DM, MH), pp. 109–112.
OOPSLA-2015-MastrangeloPMLH #api #java
Use at your own risk: the Java unsafe API in the wild (LM, LP, AM, ML, MH, NN), pp. 695–710.
ITiCSE-WGR-2014-ClarkeCFHKPTW #bibliography #perspective
In-Flow Peer Review (DC, TC, KF, MH, SK, JGP, VT, TW), pp. 59–79.
ASPLOS-2013-OliveiraFDHS #why
Why you should care about quantile regression (ABdO, SF, AD, MH, PFS), pp. 207–218.
PASTE-2013-VitasekBH #java #named
ShadowData: shadowing heap objects in Java (MV, WB, MH), pp. 17–24.
PLDI-2012-ZaparanuksH #algorithm #profiling
Algorithmic profiling (DZ, MH), pp. 67–76.
ECOOP-2011-ZaparanuksH #algorithm #design
The Beauty and the Beast: Separating Design from Algorithm (DZ, MH), pp. 27–51.
MoDELS-2011-ZaparanuksH #modelling
Vision Paper: The Essence of Structural Models (DZ, MH), pp. 470–479.
OOPSLA-2011-JovicAH #debugging #detection #performance
Catch me if you can: performance bug detection in the wild (MJ, AA, MH), pp. 155–170.
PLDI-2010-MytkowiczDHS #java
Evaluating the accuracy of Java profilers (TM, AD, MH, PFS), pp. 187–197.
SOFTVIS-2010-AdamoliH #analysis #framework #named #performance #visualisation
Trevis: a context tree visualization & analysis framework and its use for classifying performance failure reports (AA, MH), pp. 73–82.
ASPLOS-2009-MytkowiczDHS #exclamation
Producing wrong data without doing anything obviously wrong! (TM, AD, MH, PFS), pp. 265–276.
CC-2006-BaconCFGHR #analysis #named #online #realtime #visualisation
Demonstration: On-Line Visualization and Analysis of Real-Time Systems with TuningFork (DFB, PC, DF, DG, MH, VTR), pp. 96–100.
OOPSLA-2005-HauswirthDSM #automation #profiling
Automating vertical profiling (MH, AD, PFS, MCM), pp. 281–296.
ASPLOS-2004-HauswirthC #adaptation #detection #memory management #profiling #statistics #using
Low-overhead memory leak detection using adaptive statistical profiling (MH, TMC), pp. 156–164.
OOPSLA-2004-HauswirthSDH #behaviour #comprehension #profiling
Vertical profiling: understanding the behavior of object-priented applications (MH, PFS, AD, MH), pp. 251–269.
PLDI-2002-BurtscherDH #classification #predict
Static Load Classification for Improving the Value Predictability of Data-Cache Misses (MB, AD, MH), pp. 222–233.
OOPSLA-2019-MastrangeloHN #empirical #java #source code
Casting about in the dark: an empirical study of cast operations in Java programs (LM, MH, NN), p. 31.

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.