Travelled to:
1 × Canada
1 × China
7 × USA
Collaborated with:
M.Schulz S.A.McKee N.T.Karonis D.K.Lowenthal B.Rountree T.Gamblin A.Marathe R.Harris O.Pearce N.M.Amato E.Ipek R.Caruana S.Lyberis P.Pratikakis D.S.Nikolopoulos B.C.Lee D.M.Brooks K.Singh J.Marathe F.Müller T.Mohan A.Yoo T.Patki A.Sasidharan M.Maiterth X.Yuan
Talks about:
perform (3) comput (3) constrain (2) memori (2) applic (2) space (2) model (2) alloc (2) high (2) architectur (1)
Person: Bronis R. de Supinski
DBLP: Supinski:Bronis_R=_de
Contributed to:
Wrote 9 papers:
- HPDC-2015-PatkiLSMRSS #performance #resource management
- Practical Resource Management in Power-Constrained, High Performance Computing (TP, DKL, AS, MM, BR, MS, BRdS), pp. 121–132.
- PPoPP-2015-PearceGSSA
- Decoupled load balancing (OP, TG, BRdS, MS, NMA), pp. 267–268.
- HPDC-2014-MaratheHLSRS #effectiveness #execution
- Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2 (AM, RH, DKL, BRdS, BR, MS), pp. 279–290.
- HPDC-2013-MaratheHLSRSY #case study #comparative
- A comparative study of high-performance computing on the cloud (AM, RH, DKL, BRdS, BR, MS, XY), pp. 239–250.
- ISMM-2012-LyberisPNSGS #memory management #message passing
- The myrmics memory allocator: hierarchical, message-passing allocation for global address spaces (SL, PP, DSN, MS, TG, BRdS), pp. 15–24.
- PPoPP-2007-LeeBSSSM #learning #modelling #parallel #performance
- Methods of inference and learning for performance modeling of parallel applications (BCL, DMB, BRdS, MS, KS, SAM), pp. 249–258.
- ASPLOS-2006-IpekMCSS #architecture #design #modelling #predict
- Efficiently exploring architectural design spaces via predictive modeling (EI, SAM, RC, BRdS, MS), pp. 195–206.
- CGO-2003-MaratheMMSMY #memory management #metric #named
- METRIC: Tracking Down Inefficiencies in the Memory Hierarchy via Binary Rewriting (JM, FM, TM, BRdS, SAM, AY), pp. 289–300.
- HPDC-1999-SupinskiK #grid
- Accurately Measuring MPI Broadcasts in a Computational Grid (BRdS, NTK), pp. 29–37.