[PDF] Top 20 MapReduce, Collective Communication, and Services
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MapReduce, Collective Communication, and Services
... Designing topology-Aware Collective Communication Algorithms for Large Scale InfiniBand Clusters: Case Studies with Scatter and Gather, 2010... Designing topology detection service.[r] ... See full document
75
Clustering Social Images with MapReduce and High Performance Collective Communication
... Many MapReduce or iterative MapReduce frameworks, such as Hadoop, Piccolo [19] or Priter [20] currently do not support optimized collectives including ...broadcasting. Collective communication ... See full document
16
Analytics For Healthcare Using Hadoop Mapreduce, Apache Spark And In Cloud Services
... as services from the providers to the ...the services provided by Amazon Web Services as an effective metaphor for the management of large scale data processing in elastically scalable computing and ... See full document
5
Collective Communication Patterns for Iterative MapReduce
... computations. Collective communication primitives are the communication operations that involve a group of nodes simultaneously[7], rather than exchanging data between just a pair of ...the ... See full document
34
FutureGrid Services II: Using HPC Systems MapReduce & Eucalyptus on FutureGrid
... #### Start the Hadoop cluster echo "Start all Hadoop daemons" $HADOOP_HOME/bin/start-all.sh #$HADOOP_HOME/bin/hadoop dfsadmin -safemode leave #### Run your jobs here echo "Run some test [r] ... See full document
69
Harp: Collective Communication on Hadoop
... only MapReduce, but later tools in other different models have also ...Iterative MapReduce frameworks improves performance of MapReduce job chains through ...a collective communication ... See full document
10
MapReduce for Scientist using FutureGrid
... Our target audience are from academy, industry, researchers that phase scientific problems and want to know more about Map Reduce. In addition it is attractive for those with intermediate knowledge that are looking for ... See full document
6
MapReduce in the Clouds for Science
... MapReduce as a service Setting up MapReduce cluster on cloud instances Specialized cloud MapReduce runtimes • Take advantage of cloud infrastructure services.... Analyze the perform[r] ... See full document
22
A Fair Comparison of Data Center Network Architectures
... Currently, the time needed to complete an Internet transaction is becoming an aggressive element among corporations presenting online services, which include web search, domestic banking, and purchasing. The ... See full document
6
Harp: Collective Communication on Hadoop
... and communication abstraction in order to achieve optimization for different ...the MapReduce model, MPI was the main tool used for large-scale simulation, exclusive on expensive hardware such as HPC or ... See full document
10
Scalable Parallel Computing on Clouds
... Contributions • Highly available, scalable decentralized iterative MapReduce architecture on eventual consistent services • More natural Iterative programming model extensions to MapRedu[r] ... See full document
62
Harp: Collective Communication on Hadoop
... years. MapReduce has proven very successful but is not optimized for many important analytics, especially those involving ...Iterative MapReduce frame- works improve performance of MapReduce job ... See full document
6
Accelerating Machine Learning with Model-Centric Approach on Emerging Architectures
... MapReduce Applications MapCollective Applications MapCollective Collective Array, Key-Value, Graph Interface Communication APIs Data Abstraction Map-Collective Programming Model Harp Col[r] ... See full document
37
Convergence of HPC and Clouds for Large-Scale Data enabled Science
... MapReduce Applications MapCollective Applications MapCollective Collective Array, Key-Value, Graph Interface Communication APIs Data Abstraction Map-Collective Programming Model Harp Col[r] ... See full document
37
High Performance LDA through Collective Model Communication Optimization
... We first compare the execution speed between “lgs” and Yahoo! LDA. On “clueweb”, we show the convergence speed based on elapsed execution time (see Fig. 5(a)). Yahoo! LDA takes more time to finish Iteration 1 due to its ... See full document
12
Ethical implications of digital communication for the patient-clinician relationship: analysis of interviews with clinicians and young adults with long term conditions (the LYNC study)
... of communication between patient and clinician (telephone and face-to-face encounter), the connection is immediate and confirmed, hence the duty of care ...digital communication, there may be a ... See full document
9
A Collective Communication Layer for the Software Stack of Big Data Analytics
... Communication Pattern Arrays and objects sending/receiving or collective communication operations Shuffle disk-based between Map stage and Reduce stage Regroup in-memory between Map stag[r] ... See full document
50
MapReduce for Data Intensive Scientific Analyses
... • All three implementations perform the same Kmeans clustering algorithm • Each test is performed using 5 compute nodes (Total of 40 processor cores) • CGL-MapReduce shows a performance close to the MPI ... See full document
25
Analysis Tools for Data Enabled Science
... – Mapreduce is a Programming Model instantiating the paradigm of bringing computation to data – Iterative Mapreduce extends Mapreduce programming model and support iterative algorithms f[r] ... See full document
40
High Performance Parallel Computing with Clouds and Cloud Technologies
... • Cloud technologies works for most pleasingly parallel applications • Runtimes such as MapReduce++ extends MapReduce to iterative MapReduce domain • MPI applications experience moderate[r] ... See full document
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