Call for Papers:

Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era

Final Submission Deadline
December 7, 2016

The 3rd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB 2017)
in conjunction with the HPCA 2017
Austin, Texas, USA
February 5, 2017

IMPORTANT DATES (All deadlines are 11:59 p.m. anywhere on Earth)
Paper submission due: 7 December, 2016
Notification of acceptance: 3 January, 2017
Early Registration due: 6 January, 2017
Camera-ready papers due: 10 January, 2017
Workshop date: 5 February, 2017

By the year 2023, High-Performance Computing (HPC) Systems are expected to break the performance barrier of the Exaflop (10^18 FLOPS) while their power consumption is kept at current levels (or increases marginally), what is known as the Exascale challenge. In addition, more storage capacity and data-access speed is demanded to HPC clusters and datacenters to manage and store huge amounts of data produced by software applications, what is known as the Big-Data challenge. Indeed, both the Exascale and Big-Data challenges are driving the technological revolution of this decade, motivating big research and development efforts from industry and academia. In this context, the interconnection network plays an essential role in the architecture of HPC systems and datacenters, as the number of processing or storage nodes to be interconnected in these systems is very likely to grow significantly to meet the higher computing and storage demands. Besides, the capacity of the network links is expected to grow, as the roadmaps of several interconnect standards forecast. Therefore, the interconnection network should provide a high communication bandwidth and low latency, otherwise the network becoming the bottleneck of the entire system. In that regard, many design aspects are considered when it comes to improving the interconnection network performance, such as topology, routing algorithm, power consumption, reliability and fault tolerance, congestion control, programming models, control software, etc.

The main goal of the third edition of HiPINEB is to gather and discuss in a full-day event the latest and most prominent efforts and advances, both from industry and academia, in the design and development of scalable high-performance interconnection networks, especially those oriented to meet the Exascale challenge and Big-data demands.

The list of topics covered by this workshop includes, but is not limited to, the following:
– Interconnect architectures and network technologies for high-speed, low-latency interconnects.
– Scalable network topologies, suitable for interconnecting a huge number of nodes.
– Power saving policies in the interconnect devices and network infrastructure, both at software and hardware level.
– Good practices in the configuration of the network control software.
– Network communication protocols: MPI, RDMA, MapReduce, etc.
– APIs and support for programming models.
– Routing algorithms.
– Quality of Service (QoS).
– Reliability and Fault tolerance.
– Load balancing and traffic scheduling.
– Network Virtualization.
– Congestion Management.
– Applications and Traffic characterization.
– Modeling and simulation tools.
– Performance Evaluation.
– Interfacing accelerators through the interconnect (GPUs, Xeon Phi, etc).
– Network infrastructure in distributed storage, distributed databases and Big-Data.

Furthermore, short papers in the above topics will be also taken into consideration, as long as they are based on emerging ideas, work-in-progress and early, high-impact achievements.

Note, however, that papers focused on topics that are too far from the design, development and configuration of high-performance interconnects for HPC systems and Datacenters (e.g., mobile networks, intrusion detection, peer-to-peer networks or grid/cloud computing) will be automatically considered as out of scope and rejected without review.

Regular and short papers must be in PDF format and should include title, authors and affiliations as well as the e-mail address of the contact author. Submitted regular manuscripts may not exceed 8 single-spaced double-column pages using 10-point size font on 8.5×11 inch pages, including figures, tables, and references. Short papers may not exceed 4 single-spaced double-column pages using 10-point size font on 8.5×11 inch pages. At least one author of the paper must be registered for the conference workshop.

HiPINEB manuscript submissions are managed by easyChair. To submit a paper, go to and follow the instructions.

Authors are entitled to submit original papers of high technical quality, according to the list of topics described above. Papers will be reviewed based on originality, novelty, technical strength, presentation quality, correctness and relevance to the conference scope.

Papers will be published in the HiPINEB proceedings, edited by the IEEE CPS which will be submitted for indexing and inclusion in IEEE Xplore and CSDL.

Best papers among those selected for HiPINEB 2017 will be published in the Special Issue on “Trends in High-Performance Interconnection Networks in the Exascale and Big-Data Era 2017”, to be published in the Journal of Concurrency and Computation: Practice and Experience, Wiley, (2015 Impact Factor: 0.942). Further details in

– Keynote: Bill Dally, NVIDIA
– Technical sessions: Presentation of regular and short papers
– Panel: TBA

– Pedro Javier Garcia, University of Castilla-La Mancha, Spain
– Jesus Escudero-Sahuquillo, University of Castilla-La Mancha, Spain

Program Committee:
– Francisco J. Alfaro, University of Castilla-La Mancha, Spain
– Jose Cano-Reyes, University of Edinburgh, United Kingdom
– Lizhong Chen, Oregon State University, USA
– Nikolaos Chrysos, FORTH, Greece
– Holger Fröning, University of Heidelberg, Germany
– Maria Engracia Gomez, Technical University of Valencia, Spain
– Ernst Gunnar Gran, Simula Research Laboratory, Norway
– Ryan E. Grant, Sandia National Laboratories, USA
– Mitch Gusat, IBM Research, Switzerland
– Scott Hemmert, Sandia National Laboratories, USA
– John Kim, KAIST, South Korea
– Michihiro Koibuchi, National Institute of Informatics, Japan
– Yuho Jin, New Mexico State University, USA
– Pedro Lopez, Technical University of Valencia, Spain
– Jose Miguel Montañana, University of York, United Kingdom
– Gaspar Mora, Intel Corporation, USA
– Mondrian Nuessle, Extoll, Germany
– Julio Ortega, University of Granada, Spain
– Thibaut Palfer-Sollier, Numascale AS, Norway
– Dhabaleswar K. Panda, The Ohio State University, USA
– Matthieu Perotin, ATOS BULL, France
– Mikel Eukeni Pozo Astigarraga, CERN, Switzerland
– Samuel Rodrigo, Oracle Corporation, Norway
– Sebastien Rumley, Columbia University, USA
– Jose Luis Sanchez, University of Castilla-La Mancha, Spain
– Heiko Joerg Schick, Huawei Technologies, Germany
– Jörn Schumacher, CERN, Switzerland
– Alex Shpiner, Mellanox Technologies, Israel
– Evangelos Tasoulas, Simula Research Laboratory, Norway
– Francisco Triviño, Oracle Corporation, Norway
– Luis Tomas, Red Hat, Spain
– Enrique Vallejo, University of Cantabria, Spain
– Wainer Vandelli, CERN, Switzerland
– Pierre Vigneras, ATOS BULL, France