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Pig >> mail # user >> Fwd: CfP 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)


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Fwd: CfP 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)


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> From: MHPC 2013 <[EMAIL PROTECTED]>
> Date: April 24, 2013 10:23:55 AM PDT
> To: [EMAIL PROTECTED]
> Subject: Fwd: CfP 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
> Reply-To: [EMAIL PROTECTED]
>
>
> we apologize if you receive multiple copies of this message
> ==================================================================>
> CALL FOR PAPERS
>
> 2013 Workshop on
>
> Middleware for HPC and Big Data Systems
>
> MHPC '13
>
> as part of Euro-Par 2013, Aachen, Germany
>
> ==================================================================>
> Date: August 27, 2012
>
> Workshop URL: http://m-hpc.org
>
> Springer LNCS
>
> SUBMISSION DEADLINE:
>
> May 31, 2013 - LNCS Full paper submission (rolling abstract submission)
> June 28, 2013 - Lightning Talk abstracts
>
>
> SCOPE
>
> Extremely large, diverse, and complex data sets are generated from
> scientific applications, the Internet, social media and other applications.
> Data may be physically distributed and shared by an ever larger community.
> Collecting, aggregating, storing and analyzing large data volumes
> presents major challenges. Processing such amounts of data efficiently
> has been an issue to scientific discovery and technological
> advancement. In addition, making the data accessible, understandable and
> interoperable includes unsolved problems. Novel middleware architectures,
> algorithms, and application development frameworks are required.
>
> In this workshop we are particularly interested in original work at the
> intersection of HPC and Big Data with regard to middleware handling
> and optimizations. Scope is existing and proposed middleware for HPC
> and big data, including analytics libraries and frameworks.
>
> The goal of this workshop is to bring together software architects,
> middleware and framework developers, data-intensive application developers
> as well as users from the scientific and engineering community to exchange
> their experience in processing large datasets and to report their scientific
> achievement and innovative ideas. The workshop also offers a dedicated forum
> for these researchers to access the state of the art, to discuss problems
> and requirements, to identify gaps in current and planned designs, and to
> collaborate in strategies for scalable data-intensive computing.
>
> The workshop will be one day in length, composed of 20 min paper
> presentations, each followed by 10 min discussion sections.
> Presentations may be accompanied by interactive demonstrations.
>
>
> TOPICS
>
> Topics of interest include, but are not limited to:
>
> - Middleware including: Hadoop, Apache Drill, YARN, Spark/Shark, Hive, Pig, Sqoop,
> HBase, HDFS, S4, CIEL, Oozie, Impala, Storm and Hyrack
> - Data intensive middleware architecture
> - Libraries/Frameworks including: Apache Mahout, Giraph, UIMA and GraphLab
> - NG Databases including Apache Cassandra, MongoDB and CouchDB/Couchbase
> - Schedulers including Cascading
> - Middleware for optimized data locality/in-place data processing
> - Data handling middleware for deployment in virtualized HPC environments
> - Parallelization and distributed processing architectures at the middleware level
> - Integration with cloud middleware and application servers
> - Runtime environments and system level support for data-intensive computing
> - Skeletons and patterns
> - Checkpointing
> - Programming models and languages
> - Big Data ETL
> - Stream processing middleware
> - In-memory databases for HPC
> - Scalability and interoperability
> - Large-scale data storage and distributed file systems
> - Content-centric addressing and networking
> - Execution engines, languages and environments including CIEL/Skywriting
> - Performance analysis, evaluation of data-intensive middleware
> - In-depth analysis and performance optimizations in existing data-handling
> middleware, focusing on indexing/fast storing or retrieval between compute