Proceedings of the 18th International Symposium on High Performance Parallel and Distributed Computing
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Dieter Kranzlmüller, Arndt Bode, Heinz-Gerd Hegering, Henri Casanova, Michael Gerndt
Proceedings of the 18th International Symposium on High Performance Parallel and Distributed Computing
HPDC, 2009.

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@proceedings{HPDC-2009,
	address       = "Garching, Germany",
	editor        = "Dieter Kranzlmüller and Arndt Bode and Heinz-Gerd Hegering and Henri Casanova and Michael Gerndt",
	isbn          = "978-1-60558-587-1",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 18th International Symposium on High Performance Parallel and Distributed Computing}",
	year          = 2009,
}

Event page: http://www.hpdc.org/2009

Contents (27 items)

HPDC-2009-YiMEJT #abstraction #clustering #manycore #parallel
Harnessing parallelism in multicore clusters with the all-pairs and wavefront abstractions (LY, CM, SJE, KJ, DT), pp. 1–10.
HPDC-2009-GoncalvesS #parallel
Pluggable parallelisation (RCG, JLS), pp. 11–20.
HPDC-2009-HeadG #execution #parallel #performance #scalability #xml
Performance enhancement with speculative execution based parallelism for processing large-scale xml-based application data (MRH, MG), pp. 21–30.
HPDC-2009-DickensL #file system #library #named #performance
Y-lib: a user level library to increase the performance of MPI-IO in a lustre file system environment (PMD, JL), pp. 31–38.
HPDC-2009-AbbasiWEKSZ #named #scalability #staging
DataStager: scalable data staging services for petascale applications (HA, MW, GE, SK, KS, FZ), pp. 39–48.
HPDC-2009-HurseyML
Interconnect agnostic checkpoint/restart in open MPI (JH, TM, AL), pp. 49–58.
HPDC-2009-SaballusF #distributed #graph #maintenance
Maintaining reference graphs of globally accessible objects in fully decentralized distributed systems (BS, TF), pp. 59–60.
HPDC-2009-GlasnerV #adaptation #predict #runtime
Adaptive run-time prediction in heterogeneous environments (CG, JV), pp. 61–62.
HPDC-2009-LiSDZ #parallel #performance #predict
Performance prediction based on hierarchy parallel features captured in multi-processing system (JL, FS, ND, QZ), pp. 63–64.
HPDC-2009-IbrahimJCCWQ #implementation #named #pipes and filters #towards #virtual machine
CLOUDLET: towards mapreduce implementation on virtual machines (SI, HJ, BC, HC, SW, LQ), pp. 65–66.
HPDC-2009-WangLL #memory management #performance #transaction
Investigating transactional memory performance on ccNUMA machines (RW, KL, XL), pp. 67–68.
HPDC-2009-Gentzsch #experience
Sustainable HPC infrastructures — supercomputers, grids, and clouds: the DEISA experience (WG), pp. 69–70.
HPDC-2009-AsikiTK #adaptation #online #performance
An adaptive online system for efficient processing of hierarchical data (AA, DT, NK), pp. 71–80.
HPDC-2009-HironakaST #concurrent #performance #using
High performance wide-area overlay using deadlock-free routing (KH, HS, KT), pp. 81–90.
HPDC-2009-ClaudelHR #adaptation #deployment
TakTuk, adaptive deployment of remote executions (BC, GH, OR), pp. 91–100.
HPDC-2009-LiuJLHY #migration #virtual machine
Live migration of virtual machine based on full system trace and replay (HL, HJ, XL, LH, CY), pp. 101–110.
HPDC-2009-SonmezYIE #evaluation #predict #queue #runtime
Trace-based evaluation of job runtime and queue wait time predictions in grids (OOS, NY, AI, DHJE), pp. 111–120.
HPDC-2009-LingrandMG #modelling
Modeling user submission strategies on production grids (DL, JM, TG), pp. 121–130.
HPDC-2009-CastilloRH #distributed #resource management #scalability
Resource co-allocation for large-scale distributed environments (CC, GNR, KH), pp. 131–140.
HPDC-2009-AssuncaoCB #capacity #clustering #in the cloud #using
Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (MDdA, AdC, RB), pp. 141–150.
HPDC-2009-ZimaHCC
Model-guided autotuning of high-productivity languages for petascale computing (HPZ, MWH, CC, JC), pp. 151–166.
HPDC-2009-QinFP #approach #automation #composition #graph #grid #novel #quality #workflow
A novel graph based approach for automatic composition of high quality grid workflows (JQ, TF, RP), pp. 167–176.
HPDC-2009-KumarSMVDRKGHKS #framework #optimisation #workflow
An integrated framework for performance-based optimization of scientific workflows (VSK, PS, GM, KV, ED, VR, JK, YG, MWH, TMK, JHS), pp. 177–186.
HPDC-2009-Reeuwijk #data flow #framework #learning #named #peer-to-peer #self #using
Maestro: a self-organizing peer-to-peer dataflow framework using reinforcement learning (CvR), pp. 187–196.
HPDC-2009-SchollRK #collaboration #coordination #query
Collaborative query coordination in community-driven data grids (TS, AR, AK), pp. 197–206.
HPDC-2009-RaicuFZLMCT #data-driven #distributed #scalability
The quest for scalable support of data-intensive workloads in distributed systems (IR, ITF, YZ, PL, CM, AC, DT), pp. 207–216.
HPDC-2009-GharaibehR #reliability #trade-off
Exploring data reliability tradeoffs in replicated storage systems (AG, MR), pp. 217–226.

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