Journal - Special Issue of Concurrency and Computation, Practice and Experience (CCPE), 2017

The special issue of Concurrency and Computation, Practice and Experience (CCPE) calls for submissions on heterogeneous and unconventional cluster architectures and applications. This call is open for all contributions, but also invites selected papers from the workshop editions HUCCA2015 and HUCAA2016.

This special issue gears to gather recent work on heterogeneous and unconventional cluster architectures and applications, which might have an impact on future mainstream cluster architectures. This includes any cluster architecture that is not based on the usual commodity components and therefore makes use of some special hard- or software elements, or that is used for special and unconventional applications. In particular we call for GPUs and other accelerators (Intel MIC/Xeon Phi, FPGA) used at cluster level. Even though accelerators are already used pervasively, we still see many unconventional and even disruptive uses of them.

Other examples of unconventional cluster architectures and applications include virtualization, in-memory storage, hard- and software interactions, run-times, databases, and device-to-device communication. We are in particular encouraging work on disruptive approaches, which may show inferior performance today but can already point out their  performance potential. The broad scope of the workshop facilitates submissions on unconventional uses of hardware or software, gearing to gather ideas that are coming to life now and not limiting them except for their context: clusters. Also, these proposals may rather be reflective of a broader industry trend.

We are seeking new proposals presented from a holistic perspective. Also, proposals may rather be reflective of a broader industry trend. In this regard, one of the aims of the workshop is anticipating the evolution of clusters. Instead of just presenting new work carried out in the traditional cluster areas usually addressed in other conferences and workshops, we are thinking on creating the right atmosphere for a discussion of opportunities in cluster computing. In this regard, contributions would not only be accepted according to their technical merits but also according to their contribution to this discussion.

We are seeking new proposals presented from a holistic perspective. In this regard, one of the aims of the special issue is anticipating the evolution of clusters, instead of just presenting new work carried out in the traditional cluster areas usually addressed in other journals and conferences.

Topics of Interest

Topics of interest include any heterogeneous or unconventional cluster architecture or application. Examples include, but are not limited to:

  • Clustered GPUs, Xeon Phis or other accelerators
  • Runtimes, resource management and scheduling for heterogeneous cluster architectures
  • Communication methods for distributed or clustered accelerators
  • Energy-aware data movement techniques
  • Energy efficiency at the cluster or node level
  • New industry and technology trends and their potential impact
  • High-performance, data-intensive, and power-aware computing
  • Application-specific cluster and datacenter architectures
  • Emerging programming paradigms for parallel heterogeneous computing
  • Software cluster-level virtualization for consolidation purposes
  • Hardware techniques for resource aggregation
  • New uses of GPUs, FPGAs, and other specialized hardware

 Important Dates

  • Submission deadline: March 15, 2017 Feb 15, 2017
  • Notification: April 30, 2017
  • Revision Due: Mai 30, 2017
  • Final decision due: June 30, 2017
  • Camera-ready paper due: July 30, 2017
  • Publication: early 2018 (estimated)

 Guest Editors

Review Board

  • Pedro Garcia, University of Castilla-La Mancha, Spain
  • Jesus Escudero, University of Castilla-La Mancha, Spain
  • Karl Fürlinger, Ludwig-Maximilians-Universität Munich, Germany
  • Wainer Vandelli, CERN, Switzerland
  • Benjamin Klenk, Ruprecht-Karls University of Heidelberg, Germany
  • Sébastien Rumley, Columbia University, US
  • Sven-Bodo Scholz, Heriot-Watt University Edinburgh, UK
  • Costas Bekas, IBM Research - Zurich, Switzerland
  • Blesson Varghese, U. St Andrews, UK
  • Peter Zaspel, Ruprecht-Karls University of Heidelberg, Germany
  • Basilio Fraguela, U. Coruna, Spain
  • Rong Ge, Clemson University, US
  • Jeff Young, Georgia Tech, US
  • Dirk Pleiter, Research Center Jülich, Germany                     
  • Shuaiwen Leon Song, Pacific Northwest National Lab (PNNL), US
  • Lena Oden, Argonne National Labs, US
  • Prudence Wong, U. of Liverpool, UK

Submissions


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