Jan. 23 — Clusters have become the workhorse for computational science and engineering research, powering innovation and discovery that advance science and society. They are the base for building today’s rapidly evolving cloud and HPC infrastructures, and are used to solve some of the most complex problems. The challenge to make them scalable, efficient, and more functional requires the joint effort of the cluster community in the areas of cluster system design, management and monitoring, at hardware, system, middleware, and application level.
The evolution of cluster technologies is expected to substantially impact emerging research areas, such as the increasingly important Data Science field. Therefore, we have chosen this year to highlight research topics expected to bring substantial progress in the way clusters can help in addressing Big Data challenges. Specific topics are dedicated to this direction within all conference tracks alongside more traditional topics. In addition, special tutorials and workshops will focus on cluster technologies for Big Data storage and processing.
Today’s Master and PhD students are our future colleagues. The future development of cluster, grid and could computing falls on their shoulders. The Cluster conference is proud to contribute to their education through a specific mentoring program all along the week. This program will include a Poster Master Class delivered by renowned researchers, to improve their poster making and presentation skills. It will also include specific VIP scientific sessions, delivered by first-class lecturers introducing them to their vision of the field, and private question quarters, to give them a chance to ask their questions to plenary speakers after their keynotes. Also, a special “Looking to my future” session will be organized with cluster-oriented company VIPs to tell students the latest opportunities for positions in this area, and how to earn them. Last by not least, special student socializing events will be organized, and various Best-*-Awards offered.
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.
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.
Major topics of interest include, but are not limited to:
- Track 1: Cluster Design, Configuration and Administration
- Chair: Michela Taufer, University of Delaware
- Cluster Architecture for Big Data storage and processing
- Energy-efficient cluster architectures
- Node and system architecture
- Packaging, power and cooling
- Visualization clusters and tiled displays
- GPU and hybrid CPU/GPU clusters
- Interconnect/memory architectures
- Single system image clusters
- Administration and maintenance tools
- Track 2: Cluster Software, Middleware, Tools
- Chair: Alexandru Iosup, Delft University of Technology
- Middleware for Big Data management
- Big Data visualization tools
- Performance modeling for Big Data processing
- Performance evaluation, analysis and optimization
- Cloud-enabling cluster technologies and virtualization
- Energy-efficient middleware
- Protocols, libraries, and interfaces
- Lightweight communication protocols
- Resource and job management
- Scheduling and load balancing
- Reliability and high-availability architecture
- Fault tolerance, checkpointing and recovery
- Cost and performance implications of reliability
- Software environments and tools
- Track 3: Cluster Storage and File Systems
- Chair: Michael Schöttner, University of Düsseldorf
- Cluster support for Big Data processing
- Cloud storage for Big Data
- Storage support for Data-intensive computing
- Storage cluster architectures
- File systems and I/O libraries
- Track 4: Cluster Applications
- Chair: Venkat Vishwanath, Argonne National Laboratory
- Programming models for Big Data processing
- Big Data Application studies on cluster architectures
- HPC Applications on GPUs
- Programming languages and environments
- Hybrid programming techniques (MPI+OpenMP, MPI+OpenCL, etc.)
- Benchmarking & profiling tools
- Performance prediction & modeling
Paper Format: Since the camera-ready version of accepted papers must be compliant with the IEEE Xplore format for publication, submitted papers must conform to the following Xplore layout, page limit, and font size.
- PDF files only are accepted.
- Maximum 9 pages for Technical Papers, maximum 5 pages for Student Papers submitted to the Student Mentoring Track.
- Single-spaced, 2-column numbered pages in IEEE Xplore format (8.5×11-inch paper, margins in inches– top: 0.75, bottom: 1.0, sides:0.625, and between columns:0.25, main text: 10pt ).
- LaTeX and Word Templates are available here: http://www.ieee.org/
conferences_events/ conferences/publishing/ templates.html.
- Only web-based submission is accepted: https://www.easychair.org/
- Abstracts (required) due: April 24, 2014
- Full Papers Due: May 2, 2014
- Paper Acceptance Notification: June 30, 2014