Cluster 2014 is hosted in Madrid, Spain. Attendees will have access to the latest developments in cluster computing technologies and practices. Join the cluster computing community, and discuss new directions, opportunities, and ideas that will influence its future. Cluster 2014 welcomes paper submissions on innovative work from researchers and practitioners in academia, government, and industry that describe original research and development efforts in cluster computing.<br>All papers will be evaluated for their originality, technical depth and correctness, potential impact, relevance to the conference, and quality of presentation. Research papers must clearly demonstrate research contributions and novelty, while experience reports must clearly describe lessons learned and demonstrate impact.<br>Major topics of interest include, but are not limited to:<br>Track 1: Cluster Design, Configuration and Administration<br>Chair: Michela Taufer, University of Delaware, USA<br>Cluster Architecture for Big Data storage and processing<br>Energy–efficient cluster architectures<br>Node and system architecture<br>Packaging, power and cooling<br>Visualization clusters and tiled displays<br>GPU and hybrid CPU/GPU clusters<br>Interconnect/memory architectures<br>Single system image clusters<br>Administration and maintenance tools<br>Track 2: Cluster Software, Middleware, Tools<br>Chair: Alexandru Iosup, Delft University of Technology, The Netherlands<br>Middleware for Big Data management<br>Big Data visualization tools<br>Performance modeling for Big Data processing<br>Performance evaluation, analysis and optimization<br>Cloud–enabling cluster technologies and virtualization<br>Energy–efficient middleware<br>Protocols, libraries, and interfaces<br>Lightweight communication protocols<br>Security<br>Resource and job management<br>Scheduling and load balancing<br>Reliability and high–availability architecture<br>Fault tolerance, checkpointing and recovery<br>Cost and performance implications of reliability<br>Software environments and tools<br>Track 3: Cluster Storage and File Systems<br>Chair: Michael Schöttner, University of Düsseldorf, Germany<br>Cluster support for Big Data processing<br>Cloud storage for Big Data<br>Storage support for Data–intensive computing<br>Storage cluster architectures<br>File systems and I/O libraries<br>Track 4: Cluster Applications<br>Chair: Venkat Vishwanath, Argonne National Laboratory, USA<br>Programming models for Big Data processing<br>Big Data Application studies on cluster architectures<br>HPC Applications on GPUs<br>Programming languages and environments<br>Hybrid programming techniques (MPI+OpenMP, MPI+OpenCL, etc.)<br>Benchmarking & profiling tools<br>Performance prediction & modeling<br>
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Madrid
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Spain
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