Travelled to:
1 × Canada
1 × France
1 × The Netherlands
9 × USA
Collaborated with:
J.R.Lange K.C.Hale L.Xia R.P.Dick A.I.Sundararaj A.Gupta J.A.Skicewicz L.S.Bai P.H.Chou ∅ D.R.O'Hallaron Z.Cui P.G.Bridges B.Lin Y.Qiao J.M.Schopf C.Bae J.Swaine K.Tew R.B.Findler M.Flatt A.Mallik J.Cosgrove G.Memik Enrico Armenio Deiana V.St-Amour N.Hardavellas S.Campanoni Y.Tang T.R.Gross R.Karrer B.Lowekamp N.Miller P.Steenkiste D.Sutherland
Talks about:
network (6) virtual (5) perform (5) system (4) time (4) run (4) parallel (3) predict (3) dynam (3) transform (2)
Person: Peter A. Dinda
DBLP: Dinda:Peter_A=
Contributed to:
Wrote 19 papers:
- HPDC-2015-HaleD #kernel #operating system #parallel
- A Case for Transforming Parallel Runtimes Into Operating System Kernels (KCH, PAD), pp. 27–32.
- HPDC-2014-XiaHD #memory management #named
- ConCORD: easily exploiting memory content redundancy through the content-aware service command (LX, KCH, PAD), pp. 25–36.
- HPDC-2013-CuiBLD #optimisation #performance
- Virtual TCP offload: optimizing ethernet overlay performance on advanced interconnects (ZC, PGB, JRL, PAD), pp. 49–60.
- HPDC-2012-BaeXDL #adaptation #energy #multi #performance
- Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores (CB, LX, PAD, JRL), pp. 247–258.
- HPDC-2012-XiaCLTDB #named #network #performance
- VNET/P: bridging the cloud and high performance computing through fast overlay networking (LX, ZC, JRL, YT, PAD, PGB), pp. 259–270.
- DATE-2011-BaiDCD #automation #modelling #network #performance
- Automated construction of fast and accurate system-level models for wireless sensor networks (LSB, RPD, PHC, PAD), pp. 1083–1088.
- DATE-2011-BaiDDC #network #program transformation #programming #runtime
- Simplified programming of faulty sensor networks via code transformation and run-time interval computation (LSB, RPD, PAD, PHC), pp. 88–93.
- OOPSLA-2010-SwaineTDFF #incremental #parallel #runtime
- Back to the futures: incremental parallelization of existing sequential runtime systems (JS, KT, PAD, RBF, MF), pp. 583–597.
- ASPLOS-2008-MallikCDMD #named #performance #scalability
- PICSEL: measuring user-perceived performance to control dynamic frequency scaling (AM, JC, RPD, GM, PAD), pp. 70–79.
- HPDC-2007-LangeD #network #virtual machine
- Transparent network services via a virtual traffic layer for virtual machines (JRL, PAD), pp. 23–32.
- HPDC-2005-LangeSD #automation #network #runtime
- Automatic dynamic run-time optical network reservations (JRL, AIS, PAD), pp. 255–264.
- HPDC-2005-SundararajGD #adaptation #performance #runtime
- Increasing application performance in virtual environments through run-time inference and adaptation (AIS, AG, PAD), pp. 47–58.
- HPDC-2004-GuptaLD #comprehension
- Measuring and Understanding User Comfort With Resource Borrowing (AG, BL, PAD), pp. 214–224.
- HPDC-2004-QiaoSD #empirical #multi #network #predict
- An Empirical Study of the Multiscale Predictability of Network Traffic (YQ, JAS, PAD), pp. 66–76.
- HPDC-2001-Dinda #online #predict
- Online Prediction of the Running Time of Tasks (PAD), pp. 383–382.
- HPDC-2001-DindaGKLMSS #architecture
- The Architecture of the Remos System (PAD, TRG, RK, BL, NM, PS, DS), pp. 252–265.
- HPDC-2001-SkicewiczDS #behaviour #multi #query #using
- Multi-Resolution Resource Behaviour Queries Using Wavelets (JAS, PAD, JMS), pp. 395–394.
- HPDC-1999-DindaO #evaluation #linear #modelling #predict
- An Evaluation of Linear Models for Host Load Prediction (PAD, DRO), pp. 87–96.
- ASPLOS-2018-DeianaSDHC #nondeterminism #parallel
- Unconventional Parallelization of Nondeterministic Applications (EAD, VSA, PAD, NH, SC), pp. 432–447.