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CfP VHPC20: HPC Containers-Kubernetes
by Michael Alexander 19 Dec '19

19 Dec '19

==================================================================== CALL FOR PAPERS 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 20) held in conjunction with the International Supercomputing Conference - High Performance, June 21-25, 2020, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 25, 2020 Workshop URL: vhpc[dot]org Abstract registration Deadline: Jan 31st, 2020 Paper Submission Deadline: Apr 05th, 2020 Springer LNCS Call for Papers Containers and virtualization technologies constitute key enabling factors 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. Most recently, Function as a Service (Faas) and Serverless computing, utilizing lightweight VMs-containers widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services can be become accessible to distributed workloads outside of large cluster environments. Various virtualization-containerization 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; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn 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, containers-virtualization and the cloud. Major Topics: - HPC workload orchestration (Kubernetes) - Kubernetes HPC batch - HPC Container Environments Landscape - HW Heterogeneity - Container ecosystem (Docker alternatives) - Networking - Lightweight Virtualization - Unikernels / LibOS - State-of-the-art processor virtualization (RISC-V, EPI) - Containerizing HPC Stacks/Apps/Codes: Climate model containers each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling. Specifically, we invite papers that deal with the following topics: - HPC orchestration (Kubernetes) - Virtualizing Kubernetes for HPC - Deployment paradigms - Multitenancy - Serverless - Declerative data center integration - Network provisioning - Storage - OCI i.a. images - Isolation/security - HW Accelerators, including GPUs, FPGAs, AI, and others - State-of-practice/art, including transition to cloud - Frameworks, system software - Programming models, runtime systems, and APIs to facilitate cloud adoption - Edge use-cases - Application adaptation, success stories - Kubernetes Batch - Scheduling, job management - Execution paradigm - workflow - Data management - Deployment paradigm - Multi-cluster/scalability - Performance improvement - Workflow / execution paradigm - Podman: end-to-end Docker alternative container environment & use-cases - Creating, Running containers as non-root (rootless) - Running rootless containers with MPI - Container live migration - Running containers in restricted environments without setuid - Networking - Software defined networks and network virtualization - New virtualization NICs/Nitro alike ASICs for the data center? - Kubernetes SDN policy (Calico i.a.) - Kubernetes network provisioning (Flannel i.a.) - Lightweight Virtualization - Micro VMMs (Rust-VMM, Firecracker, solo5) - Xen - Nitro hypervisor (KVM) - RVirt - Cloud Hypervisor - Unikernels / LibOS - HPC Storage in Virtualization - HPC container storage - Cloud-native storage - Hypervisors in storage virtualization - Processor Virtualization - RISC-V hypervisor extensions - RISC-V Hypervisor ports - EPI - Composable HPC microservices - Containerizing Scientific Codes - Building - Deploying - Securing - Storage - Monitoring - Use case for containerizing HPC codes: Climate model containers for portability, reproducibility, traceability, immutability, provenance, data & software preservation 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 Jan 31st, 2020 - Abstract Apr 5th, 2020 - Paper submission deadline (Springer LNCS) Apr 26th, 2020 - Acceptance notification June 25th, 2020 - Workshop Day July 10th, 2020 - Camera-ready version due Chair Michael Alexander (chair), BOKU, Vienna, Austria Anastassios Nanos (co-chair), Sunlight.io, UK Program committee Stergios Anastasiadis, University of Ioannina, Greece Paolo Bonzini, Redhat, Italy Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Taylor Childers, Argonne National Laboratory, USA Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy François Diakhaté CEA DAM Ile de France, France Kyle Hale, Northwestern University, USA Brian Kocoloski, Washington University, USA John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Klaus Ma, Huawei, China Alberto Madonna, Swiss National Supercomputing Center, Switzerland Nikos Parlavantzas, IRISA, France Anup Patel, Western Digital, USA Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Adrian Reber, Redhat, Germany Riccardo Rocha, CERN, Europe Borja Sotomayor, University of Chicago, USA Jonathan Sparks, Cray, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden John Walters, USC ISI, USA Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan 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. Abstract, Paper Submission Link: edas[dot]info/newPaper.php?c=26973 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) 2019, June 21-25, Frankfurt, Germany.

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[CFP] GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning (co-located with IPDPS 2020)
by Tumeo, Antonino 19 Dec '19

19 Dec '19

[Please accept our apologies for multiple postings.] CALL FOR PAPERS ******************************************************************************* GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning https://hpc.pnl.gov/grapl/ May 18, 2020 Co-Located with IPDPS 2020 New Orleans Louisiana, USA GrAPL is the result of the combination of two IPDPS workshops: GABB: Graph Algorithms Building Blocks GraML: Workshop on The Intersection of Graph Algorithms and Machine Learning ****************************************************************************** SUMMARY ------- Data analytics is one of the fastest growing segments of computer science. Many real-world analytic workloads are a mix of graph and machine learning methods. Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features. Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows. In this workshop we are interested in graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning. The workshop’s scope is broad and encompasses the wide range of methods used in large-scale data analytics workflows. This workshop seeks papers on the theory, model-based analysis, simulation, and analysis of operational data for graph analytics and related machine learning applications. In particular, we are interested, but not limited to the following topics: • Provide tractability and performance analysis in terms of complexity, time-to-solution, problem size, and quality of solution for systems that deal with mixed data analytics workflows; • Discuss the problem domains and problems addressable with graph methods, machine learning methods, or both; • Discuss programming models and associated frameworks such as Pregel, Galois, Boost, GraphBLAS, GraphChi, etc., for building large multi-attributed graphs; • Discuss how frameworks for building graph algorithms interact with those for building machine learning algorithms; • Discuss hardware platforms specialized for addressing large, dynamic, multi-attributed graphs and associated machine learning; Besides regular papers, short papers (up to four pages) describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. IMPORTANT DATES --------------- Position or full paper submission: February 3, 2020 Author Notification: February 29, 2020 Camera-ready: March 15, 2020 Workshop: May 18, 20120 PAPER SUBMISSIONS ----------------- Submissions will be done through Linklings: https://ssl.linklings.net/conferences/ipdps/ Please visit GrAPL'20 website for instructions: https://hpc.pnl.gov/grapl/ Authors can submit two types of papers: Short papers (up to 4 pages) and long papers (up to 10 pages). All submissions must be single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html ORGANIZATION ------------ General co-Chairs: Scott McMillan (CMU SEI), smcmillan(a)sei.cmu.edu Manoj Kumar (IBM), manoj1(a)us.ibm.com Program Chairs: Danai Koutra (University of Michigan, Ann Arbor), dkoutra(a)umich.edu Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov GrAPL's Little Helpers: Tim Mattson (Intel) Antonino Tumeo (PNNL) Program Committee: Nesreen K Ahmed, Intel Research and Intel AI, USA Sasikanth Avancha, Intel Labs - Parallel Computing Lab, India Aydin Buluç, Lawrence Berkeley National Lab, USA Timothy A. Davis, University of Florida, USA Jana Doppa, Washington State University, USA John Gilbert, University of California at Santa Barbara, USA Sergio Gómez, Universitat Rovira i Virgili, Catalonia Will Hamilton, McGill University, Mila, Canada Stratis Ioannidis, Northeastern University, Boston, USA Bharat Kaul, Intel Labs - Parallel Computing Labs, India Kamesh Madduri, The Pennsylvania State University, USA Henning Meyerhenke, Humboldt University of Berlin, Germany Indranil Roy, Natural Intelligence, USA Robert Rallo, Pacific Northwest National Lab, USA P. Sadayappan, University of Utah, USA Yizhou Sun, University of California, Los Angeles, USA Flavio Vella, Free University of Bozen, Italy Steering Committee: David A. Bader (New Jersey Institute of Technology) Aydın Buluç (LBNL) John Feo (PNNL) John Gilbert (UC Santa Barbara) Tim Mattson (Intel) Ananth Kalyanaraman (Washington State University) Jeremy Kepner (MIT Lincoln Laboratory) Antonino Tumeo (PNNL)

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CFP: PDSEC-20 workshop (with IPDPS-20)
by Peter Strazdins 18 Dec '19

18 Dec '19

(apologies for cross-postings) The 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-20) http://cse.stfx.ca/~pdsec20 will be held on May 22, 2020 in New Orleans in conjunction with IPDPS 2020. Deadline: PDSEC-20 deadline: 31 Jan 2020 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. Important Dates: Paper submission due . . . . . . . . . . . . . . January 31, 2020 Notification of Acceptance . . . . . . . . . . . March 06, 2020 Final camera-ready paper . . . . . . . . . . . . March 15, 2020 Workshop . . . . . . . . . . . . . . . . . . . . May 22, 2020 General Chairs Raphael Couturier, University of Franche-Comte, France Peter Strazdins, Australian National University, Australia Program Chairs Eric Aubanel, University of New Brunswick, Canada Sabine Roller, University of Siegen, Germany Publicity Chair Suzanne Michelle Shontz, University of Kansas, USA Steering Committee Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Laurence T. Yang (Chair), St. Francis Xavier University, Canada -- Regards, Peter ------------------------------------------------------------------------ Peter Strazdins, PhD GCHE, SIEEE SFHEA Research School of Computer Science ANU College of Engineering and Computer Science CSIT Building 108, North Rd The Australian National University, Canberra ACT 2601 AUSTRALIA T: +61 2 6125 5140 F: +61 2 6125 0010 W: http://cs.anu.edu.au/~Peter.Strazdins E: Peter.Strazdins(a)anu.edu.au ------------------------------------------------------------------------

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Submission Deadline Extended [IWSMAI'20] CFP : International Workshop on Statistical Methods and Artificial Intelligence
by IWSMAI Workshop 15 Dec '19

15 Dec '19

*International Workshop on **Statistical Methods and Artificial Intelligence* *(IWSMAI 2020)* *Submission Deadline Extended* *April 6 - 9, 2020, Warsaw, Poland.* https://sites.google.com/view/iwsmai/home The aim of IWSMAI is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of IWSMAI 2020. This workshop will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of Statistical Methods and Artificial Intelligence fields. The workshop will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers. *Topics:* · Artificial Intelligence · Statistical methods · Data Analysis and Data mining · Computational Statistic · Supervised and unsupervised learning · Statistical methodology · Bioinformatics · Medical statistics · Deep Learning · Intelligent Transportation Systems · Data Collection and Applications · Data Science and Blockchain Technology · Data Science and Artificial Intelligence · Big Data · Mathematical Statistics · Economic intelligence · Statistical Software (R, SAS, Python) All accepted papers will be scheduled for oral presentations and will be included in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line (indexed by *Scopus)* *Important Dates:* · Paper submission deadline: *December 22, 2019 * · Notification of acceptance: *January 13, 2020* · Camera-ready submission: *February 10 **, 2020* · Workshop Date : *April 6-9, 2019* *Contact :* Email: abdallah.abarda(a)uhp.ac.ma

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[simu-conf] EXTENDED DEADLINE + JOURNAL OPPORTUNITY. Theory and Foundations of Modeling & Simulation (TMS) - George Mason University, VA, USA – May 2020
by vsim-conf＠sce.carleton.ca 15 Dec '19

15 Dec '19

Theory and Foundations of Modelling and Simulation Track Spring Simulation Conference – May 2020 Submission deadline extended: January 6, 2020. http://www.tmsdevs.org Top articles will be invited to submit extended versions to a Special Issue for the SIMULATION journal https://journals.sagepub.com/home/sim (Special Issue information: http://shorturl.at/cuxOZ ) TMS aims to provide a forum to present the most recent advances in the Theory and Foundations of Modeling and Simulation. The focus is on the M&S concepts, methods, methodology, practice, and toolkits, as well as related lessons learned and challenges. This track welcomes unpublished papers, and not under consideration in other venues, on the topics below as well as others that can help deepen and expand M&S Theory and Foundations for better understanding and development of computing, physical, and human systems. * Modeling & Simulation Formalisms (Agents, DEVS, Petri nets, Statecharts, etc.) * Multi-Paradigm/Multi-Domain Modeling, Multi-Resolution/Multi-Scale Modeling * Model Composition, Hybrid Modeling Languages, Multi-Modal Modeling * Model Checking, Formalism-Based Model Debugging, Model Transformation * Modular Hybrid, Spatially Distributed, and Ultra Large Scale Systems * Embedded, IoT, and Fog Computing Systems * Parallel, Distributed, Real-Time, Cloud-Based, and Interactive Simulation * Co-simulation, Interoperability, Simulation Languages, Numerical Solvers * Simulation and Model Development Visualization Tools * Model Libraries, Repositories, and Data Formats Organization Committee: General Chairs: Joachim Denil, University of Antwerp, Belgium Hessam Sarjoughian, Arizona State University, USA Program Chairs: Gabriel Wainer, Carleton University, Canada Cristina Ruiz-Martin, Carleton University, Canada Further information: http://www.tmsdevs.org [apologies for cross postings – problems/issues: contact vsim-conf-owner(a)sce.carleton.ca]

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Final CFP: CCGrid 2020, Melbourne, Australia (Extended Deadline December 17th, 2019)
by Bahman Javadi 12 Dec '19

12 Dec '19

===================================================================== The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020) May 11-14, 2020, Melbourne, Australia Website: http://cloudbus.org/ccgrid2020/ Deadline Note: We will let authors to submit/update their papers in EasyChair up to December 17th, 2019 (any timezone in the world). So, please create account and submit/update your paper's current version to take advantage of this. ===================================================================== Call for Papers Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM (Association for Computing Machinery), with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference. In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc. More decentralized approaches to cloud computing. Edge/fog/mist computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Cyber-Security and Privacy: Cloud security and trust. Access control. Data privacy and integrity. Regulation. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems. ------------------------------------------------------------------- Chairs and Committees ------------------------------------------------------------------- General Chair: Rajkumar Buyya, University of Melbourne, Australia. General Vice Chairs: Dhabaleswar Panda, Ohio State University, USA Jin Hai, Huazhong University of Science and Technology, China Massimo Villari, The University of Messina, Italy Program Committee Co-Chairs: Carlos A Varela, RPI, USA Laurent Lefevre, INRIA, France Workshops Co-Chairs: George Pallis, The University of Cyprus, Cyprus Borja Sotomayor, The University of Chicago, USA Doctoral Symposium Chairs : Anne-Cecile Orgerie, Inria, France Ivan Rodero, The State University of New Jersey, USA Posters Co-Chairs : Hari Subramoni, Ohio State University, USA Joanna Kolodziej, National Research Institute (NASK), Poland Student Travel Awards Chair: Lena Mashayekhy, University of Delaware, USA SCALE Challenge Chair : Yogesh Simmhan, Indian Institute of Science, India Research/Product Demonstrations Chairs : Rodrigo Calheiros, Western Sydney University, Australia Proceedings Co-Chair : Omer Rana, Cardiff University, UK Adel N. Toosi, Monash University, Australia Publicity Co-Chairs: Jithin Jose, Microsoft, USA Stefan Schulte, Vienna University of Technology, Austria Bahman Javadi, Western Sydney University, Australia Mohsen Amini, The University of Louisiana at Lafayette, USA Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Cyber Chair : Mohammad Goudarzi, The University of Melbourne, Australia Important Dates Paper Due: 17 December 2019 ***see note below** Acceptance Notification: 30 January 2020 Camera Ready Papers Due: 25 February 2020 Note: Deadline Note: We will let authors to submit/update their papers in EasyChair up to December 17th, 2019 (any timezone in the world). So, please create account and submit/update your paper's current version to take advantage of this. =====================================================================

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Last call for join to CVML live Web lecture series: Web lecture 'Fast Convolution Algorithms for deep learning and computer vision', 14th December 2019, 11:00 EET
by ioannakoroni＠csd.auth.gr 11 Dec '19

11 Dec '19

Dear Computer vision/machine learning, students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in the www page: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. The first web lecture on 'Fast Convolution Algorithms for deep learning and computer vision' by Professor Ioannis Pitas (see attached abstract and CV), will take place on 14th December 2019, 13:00 EET only. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Fast convolution algorithms for computer vision and machine learning 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs) Therefore, 1D/2D/3D convolution algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^2), O(N^4) and O(N^6) respectively their fast execution is a must. This lecture will overview linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Finally, optimal Winograd 1D and 2D convolution algorithms will be presented having theoretically minimal number of computations. Emphasis will be on 1D convolution algorithms, as there will be another lecture on 2D convolution algorithms soon. Prof. I. Pitas was lucky to have done his PhD degree on fast convolution algorithms more than 30 years ago. Now this topic re-emerged as key technology for deep learning and computer vision, primarily to address fast CNN training and inference, thanks to advances primarily in GPU programming, but also in multicore CPU programming. Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el AIIA Lab www.aiia.csd.auth.gr <http://www.aiia.csd.auth.gr>

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Post-doctoral Position in Cyber Security - H2020 FORESIGHT
by Xavier Bellekens 11 Dec '19

11 Dec '19

Dear All, ** Sorry for cross posting ** We have a position for a post-doctoral Research Associate opened at the University of Strathclyde, Glasgow, Scotland in the Institute of Sensors, Signals and Communications. The position is part of the Horizon 2020 FORESIGHT project addressing the creation of a federated cyber-range platform for simulation and training of critical infrastructure operators (Naval, Avionics, Power) against complex cyber-attacks. We invite highly skilled, enthusiastic and ambitious researchers with a background in cyber-security, machine learning to apply ! The closing date for applications is the 13th of January 2020. https://academicpositions.co.uk/ad/university-of-strathclyde/2019/research-… Feel free to share with anyone that might be interested or to contact me at xavier.bellekens [at] strath.ac.uk<http://strath.ac.uk> for further information on the role. Kind Regards, Xavier — Dr Xavier Bellekens Lecturer - Chancellor’s Fellow Department of Electronic and Electrical Engineering University Of Strathclyde, Royal College Building 204 George Street, Glasgow G1 1XW Scotland Mobile: +44 (0) 7548 71 7049 email : xavier.bellekens(a)strath.ac.uk Special Issue : MDPI Information Special Issue on Machine Learning for Cyber Security http://www.mdpi.com/journal/information/special_issues/ML_Cybersecurity

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Jan 2020 Issue of IJHCITP(Web of Science & SCOPUS Indexed)
by Sanjay Misra 10 Dec '19

10 Dec '19

International Journal of Human Capital and Information Technology Professionals (IJHCITP) Editor-in-Chief: Sanjay Misra <https://www.igi-global.com/affiliate/sanjay-misra/346944/> (Covenant University, Nigeria) Indexed In: Web of Science Emerging Sources Citation Index (ESCI), SCOPUS, INSPEC and 9 more indices <https://www.igi-global.com/journal/international-journal-human-capital-info…> Published: Quarterly |Established: 2010 ISSN: 1947-3478|EISSN: 1947-3486|DOI: 10.4018/IJHCITP Description The *International Journal of Human Capital and Information Technology Professionals (IJHCITP)* focuses on the IT field from the outlook of industry professionals and covers multidisciplinary themes such as human resource management, sociology, psychology, and management along with technology itself. Representing IT professionalism from the human capital point of view, the journal publishes original research papers, research notes, reviews, and cases on all aspects of IT professionalism, technology-related careers, personnel empowerment, organizational management and cutting edge technologies affecting IT practitioners. This journal emphasizes articles linking theory with application or critically analyzing cases with the objective of identifying good practice in the management of IT human capital. Topics Covered - Competence management within the IT profession - Ethics, as well as professional and social responsibilities of IT professionals - Human capital within the IT industry - Human resource management in the IT sector - IT careers - IT personnel in new production environments (software factories, offshoring, and nearshoring) - IT profession - IT professional associations - IT professionalism - IT professionals assessment methods - IT professionals roles - IT professionals under the scope of IT governance - Licensing and certifying of IT professionals - Mentoring, coaching, and counseling of IT professionals - Personnel issues in IT standards, models, and frameworks - Recruiting, staffing, retaining, and rewarding IT professionals Mission and ScopeThe mission of the *International Journal of Human Capital and Information Technology Professionals (IJHCITP)* is to offer an outlook on the state of the IT profession from the perspective of economic value based on labor performance. Providing a forum for the exchange of research ideas and practices, this journal is a reference convergence point for professionals, managers, and researchers in the IT field. Table of Contents and List of Contributors Search this Journal: Reset Open Access Articles Volume 11: 4 Issues (2020): 1 Released, 3 Forthcoming Volume 11, Issue 1 Article 1 Employer Branding Practices Amongst the Most Attractive Employers of IT and Engineering Sector <https://www.igi-global.com/article/employer-branding-practices-amongst-the-…> (pages 1-16) Lea Gregorka, Susana Silva, Cândida Silva Employer branding is a marketing strategy that helps employers stay competitive in their markets. Although it is a concept used for over 20 years, its process and co...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239591&ptid=227328&t=Emp…> $37.50 This item has been added to your shopping cart. Check out <https://www.igi-global.com/shopping-cart/> | Continue Shopping Article 2 Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal <https://www.igi-global.com/article/fuzzy-driven-decision-support-system-for…> (pages 17-30) Oluwasefunmi 'Tale Arogundade, Bolanle Ojokoh, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Babatope Sunday Adeniyi Employee performance appraisal is often considered a core management task in most standard organizations because it could potentially inspire an employee towards the...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239592&ptid=227328&t=Fuz…> $37.50 Article 3 Information Technology Governance in a Higher Education Institution: An IT Professionals' Perception Analysis <https://www.igi-global.com/article/information-technology-governance-in-a-h…> (pages 31-46) Rodrigo Franklin Frogeri, Daniel Jardim Pardini, Gustavo Rodrigues Cunha This study characterizes and analyzes information technology governance in a Brazilian institution of higher education. The methodological aspects included the quant...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239593&ptid=227328&t=Inf…> $37.50 Article 4 Investigating the Mediating Role of Knowledge Sharing on Employee Engagement: Evidence from a Developing Nation <https://www.igi-global.com/article/investigating-the-mediating-role-of-know…> (pages 47-63) Ibrahim M. Al-Jabri This article proposes a research model that explores the social factors affecting knowledge sharing and employee engagement and examines the mediating role of knowle...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239594&ptid=227328&t=Inv…> $37.50 Article 5 IT-Governance Framework Considering Service Quality and Information Security in Banks in India <https://www.igi-global.com/article/it-governance-framework-considering-serv…> (pages 64-91) Ranjit Singh, Bhartrihari Pandiya, Chandra Kant Upadhyay, Manas K Singh This study proposes an IT-Governance framework for the Indian Banking Industry. This research explores the factors predicting customer loyalty in retail banking. The...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239595&ptid=227328&t=IT-…> $37.50

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[Journals] Call For Papers- Journal of Real Time Image Processing
by Pourya Shamsolmoali 10 Dec '19

10 Dec '19

Special Issue on Advances in Deep Learning for Real-Time Image and Video Reconstruction and Processing (ADLIR) Journal of Real-Time Image Processing This Special Issue opens to innovative ideas, the latest research and development of deep learning for real-time image and video processing. Papers on the design of new computational tools and methods for real-time image and video reconstruction and processing are welcome. Hence, the target of this special issue is to provide a forum for researchers to focus on computational methods for real-time image reconstruction and processing. To do this, we invite papers (including survey papers) in modeling, algorithm, software optimization, and application of deep learning-based real-time image processing to establish the latest efforts of relevant researchers. [ https://www.springer.com/journal/11554/updates/17230436 | https://www.springer.com/journal/11554/updates/17230436 ] The list of possible topics, but are not limited to: * Real-time image and video reconstruction algorithms * Real-time face reconstruction from depth images * New deep learning models for real-time image reconstruction and processing * New objective functions of deep learning for real-time image reconstruction * Real-time MRI and X-ray image processing * Real-time 3D image reconstruction, processing or segmentation * Deep learning and hybrid models for real-time computational methods * Optimization algorithms for real-time image and video reconstruction and processing * Survey /review of deep learning in real-time image reconstruction and processing Submission Guideline: Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at [ https://www.editorialmanager.com/rtip/default.aspx | https://www.editorialmanager.com/rtip/default.aspx ] . We invite prospective authors to submit their manuscript, via the online submission system on the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR). Important Dates: * Paper submission due: March 31, 2020 * First notification: May 31, 2020 * Revision submission due: July 15, 2020 * Final decision: September 30, 2020 * Publication date: October 2020 (Tentative) Note: accepted papers are made available online soon after acceptance.

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