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VHPC 2018 : Virtualization in High-Performance Cloud ComputingConference Series : Virtualization in High-Performance Cloud Computing | |||||||||||||||||
Link: http://vhpc.org | |||||||||||||||||
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Call For Papers | |||||||||||||||||
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CALL FOR PAPERS 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '18) held in conjunction with the International Supercomputing Conference - High Performance, June 24-28, 2018, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 28, 2018 Workshop URL: http://vhpc.org Paper Submission Deadline: May 15, 2018, Springer LNCS, rolling abstract submission Abstract/Paper Submission Link: https://edas.info/newPaper.php?c=24355 Special Track: GPU - Accelerator Virtualization Call for Papers Virtualization technologies constitute a key enabling factor for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Various virtualization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; I/O Virtualization allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC and the cloud. Major Topics - Virtualization in supercomputing environments, HPC clusters, HPC in the cloud and grids - OS-level virtualization and containers (LXC, Docker, rkt, Singularity, Shifter, i.a.) - Lightweight/specialized operating systems in conjunction with virtual machines - Novel unikernels and use cases for virtualized HPC environments - Performance improvements for or driven by unikernels - Tool support for unikernels: configuration/build environments, debuggers, profilers - Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) - VM & Container trust and security - Containers inside VMs with hypervisor isolation - GPU virtualization operationalization - Approaches to GPGPU virtualization including API remoting and hypervisor abstraction - Optimizations of virtual machine monitor platforms and hypervisors - Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) - Virtualization support for emerging memory technologies - Virtualization in enterprise HPC and microvisors - Software defined networks and network virtualization - Management, deployment of virtualized environments and orchestration (Kubernetes i.a.) - Workflow-pipeline container-based composability - Checkpointing facilitation utilizing containers and VMs - Emerging topics including multi-kernel approaches and NUMA in hypervisors - Operating MPI in containers/VMs and Unikernels - Virtualization in data intensive computing (big data) - HPC convergence - Adaptation of HPC technologies in the cloud (high performance networks, RDMA, etc.) - Performance measurement, modelling and monitoring of virtualized/cloud workloads - Latency-and jitter sensitive workloads in virtualized/containerized environments - I/O virtualization (including applications, SR-IOV, i.a.) - Hybrid local facility + cloud compute and based storage systems, cloudbursting - FPGA and many-core accelerator virtualization - Job scheduling/control/policy and container placement in virtualized environments - Cloud reliability, fault-tolerance and high-availability - QoS and SLA in virtualized environments - IaaS platforms, cloud frameworks and APIs - Energy-efficient and power-aware virtualization - Configuration management tools for containers (including in OpenStack, Ansible, i.a.) - ARM-based hypervisors, ARM virtualization extensions Special Track: GPU - Accelerator Virtualization GPU virtualization technologies, performance and benchmarking, integration with workflow scheduling systems, integration to cluster managers. GPUs are taking on many HPC workload areas, especially in deep learning within machine learning. In addition, a lot of workload is being pushed to elastic environments utilizing various virtualization technologies on different levels like hypervisors (e.g. VMWare, Xen, KVM), kernel (Docker, Kubernetes) or on the resource manager level (YARN, Mesos). In this track we invite submissions addressing these problems. Suggested Themes and Topics: Technology - What technologies and best practices exist for GPU - hardware accelerator virtualization and usage of hardware accelerators in virtual environments on the hypervisor, kernel or resource manager level Developers - Real-life experience when addressing HPC/ML/DL problems with GPUs or hardware accelerators in virtual environments Performance - Performance comparisons between different technologies / solutions The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates February 23, 2018 (AoE) - Abstract Submission May 15, 2018 (AoE) - Paper submission deadline (Springer LNCS) May 30, 2018 - Acceptance notification June 28, 2018 - Workshop Day July 12, 2018 - Camera-ready version due Chair Michael Alexander (chair), Institute of Science and Technology, Austria Anastassios Nanos (co-chair), OnApp, UK Romeo Kienzler (co-chair), IBM, Switzerland Program committee Stergios Anastasiadis, University of Ioannina, Greece Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy Christoffer Dall, Columbia University, USA François Diakhaté, CEA, France Patrick Dreher, MIT, USA Kyle Hale, Northwestern University, USA Brian Kocoloski, University of Pittsburgh, USA Uday Kurkure, VMware, USA John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Qing Liu, Oak Ridge National Laboratory, USA Nikos Parlavantzas, IRISA, France Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Technical University of Valencia, Spain Borja Sotomayor, University of Chicago, USA Anata Tiwari, San Diego Supercomputer Center, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan Andrew Younge, Sandia National Laboratory, USA Na Zhang, VMware, USA Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. . The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Format Guidelines: ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip Abstract, Paper Submission Link: https://edas.info/newPaper.php?c=24355 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2018, June 18-22, Frankfurt, Germany. |
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