computational.science February 2022

computational.science@lists.iccsa.org

5 participants
5 discussions

Associate Professor in AI, with a focus on knowledge and NLP
by Jean-Louis Dessalles 13 Feb '22

13 Feb '22

Télécom Paris <https://www.telecom-paris.fr/> offers a full-time tenured academic position as Associate Professor in the area of Artificial Intelligence, with a focus on knowledge, AI, and NLP. The candidate will join the DIG team (Data, Intelligence, Graphs) <https://dig.telecom-paristech.fr/>, starting September 2022. The candidate is expected to have strong skills in at least one of the following fields: • Natural Language Processing • Knowledge representation • Logic, reasoning • Online learning • Data exploration • Cognitive modeling Online application: https://institutminestelecom.recruitee.com/l/en/o/enseignantchercheur-en-la… Deadline for application: February 28, 2022 -- jean-louis Dessalles <https://www.dessalles.fr> Visit this MOOC: Understanding AI through *Algorithmic Information Theory* <https://aiai.telecom-paris.fr>. "A very interesting course that definitely changed how I see the world. Thank you so muchhh." (Hanady, 2021, betatester) "Very interesting course. It opens a lot of prospects. Thank you very much." (BORG_92, MOOC user) "/Enlightening./ Thank you for organizing this amazing course. I learned a lot! [...] After completing the course I’m now contemplating the final chapter on complexity+cognition. This chapter was so intuitive and provided such elegant explanations of human behavior." (Palmaya, MOOC user)

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[Jobs] Available Position: Professor in Artificial Intelligence (AI) at the University of Plymouth, UK
by Amir Aly 12 Feb '22

12 Feb '22

Dear All, *Apologies for cross-posting* *The School of Engineering, Computing, and Mathematics (SECaM)*, at the University of Plymouth has a unique opportunity for an outstanding academic and their team to join the School and strengthen our research, leadership, and collaboration in *Artificial Intelligence*. This is an opportunity to establish senior academic direction and growth in this core area of Artificial Intelligence and to build on multi-disciplinary collaboration, supporting the School’s strategic objectives to create a critical mass of expertise in the area of Artificial Intelligence aligning directly with Industry 4.0 and future national and international research opportunities and skills development needs. You will work together with colleagues to create a vision for our existing Centre for Robotics and Neural Systems (CRNS), which builds on the world-leading and international excellence performance in the field of computer science, social and cognitive robotics, neural computation, and others. You will join a community of over 100 staff and 2000 students who work alongside one another in world-leading facilities. This synergistic mix of academic disciplines has research strength aligned with challenges of the fourth Industrial Revolution, clean growth, digitalization, autonomy, and health technology, helping to develop pioneering, innovative solutions to real-world problems that have a genuinely positive impact upon society. The deadline is 25th February. For more information and to apply, please visit: https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.o… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhrservice…> Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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[CFP] ExSAIS 2022: Workshop on Extreme Scaling of AI for Science - EXTENDED
by Tumeo, Antonino 09 Feb '22

09 Feb '22

[Please accept our apologies for multiple postings.] - NEWS: DEADLINE EXTENDED TO FEBRUARY 18 - NEWS: KEYNOTE TALKS announced: Gennady Pekhimenko and Mostofa Patwary CALL FOR PAPERS ******************************************************************************* ExSAIS 2022: Workshop on Extreme Scaling of AI for Science https://hpc.pnl.gov/exsais/ June 3, 2022 Co-Located with IPDPS 2022 Lyon, France ****************************************************************************** Call for Papers --------------- The evolution of machine perception to machine learning and reasoning, and ultimately machine intelligence, has a potential to significantly impact acceleration and advancement of autonomous scientific discovery and the operation of scientific instruments. While machine reasoning will enable intelligent systems to better understand and interact with their physical world, machine intelligence through modeling, simulation and automation, closes the gap between experiments, extreme computing, and scientific discovery. In order to usher in this new era of autonomous science, advances in several areas of artificial intelligence and other disciplines e.g., high-performance computing, data engineering need to come together. Therefore, the goal of this workshop is to bring together researchers from diverse backgrounds to enable extreme scaling of AI for science. This workshop will address the overarching goal of enabling semi-autonomous and autonomous AI-driven predictive and prescriptive scientific discovery at scale by integrating extreme-scale heterogeneous and reconfigurable computing paradigms, multiscale mathematics, physics-based simulation, data sciences and engineering to address challenges across science, scientific instruments, and security domains e.g., biology, chemistry, and material science. Specific areas of interest include: * Algorithms: Advance extreme-scale Artificial Intelligence through algorithmic development in the areas of probabilistic reasoning, multimodal representation learning, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction. * Implementation and deployment: Enable scalable Artificial Intelligence through advances in distributed and parallel AI algorithms and tools, heterogeneous and reconfigurable computing platforms and paradigms, Exascale systems, and compilers and system software for extreme-scale AI/ML algorithms. * Applications: Discuss application use cases in science domains of importance including computational biology, molecular chemistry, material science, epidemiology, energy and physics. The workshop seeks short and long papers spanning all areas of scaling AI for science, engineering and security domains including but not limited to: * Parallel and distributed algorithms for machine learning, machine reasoning, and machine intelligence at scale. Specific examples include: probabilistic reasoning, data analytics, knowledge representation learning, multi-modal analysis, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction * Software tools, compilers and system software to enable AI for machine perception and reasoning at scale. Specific examples include PyTorch (and Glow), TensorFlow (and XLA), CNTK, TVM, and the MLIR framework. * Application case studies in all areas of science and engineering such as biology, chemistry, material science, high energy physics, and climate security . IMPORTANT DATES --------------- Position or full paper submission: February 18, 2022 AoE (EXTENDED - HARD DEADLINE) Notification: March 7, 2022 AoE Camera-ready: March 21, 2022 Workshop: June 3, 2022 PAPER SUBMISSIONS --------------- Submission site: https://ssl.linklings.net/conferences/ipdps 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 Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov * Program co-Chairs Svitlana Volkova (PNNL), svitlana.volkova(a)pnnl.gov Robert Rallo (PNNL), robert.rallo(a)pnnl.gov * Technical Program Committee Nesreen Ahmed, Intel, US Sadaf Alam, CSCS & ETH Zurich, CH Frank Alexander, Brookhaven National Laboratory, US Sanjukta Bhowmick, University of North Texas, US Auroop Ganguly, Northeastern University, US Gauri Joshi, Carnegie Mellon University, US Vipin Kumar, University of Minnesota, US Johannes Langguth, Simula, NO Maxim Naumov, Facebook, US Israt Nisa, Amazon, US Jim Pfaendtner, University of Washington, US Bruno Ribeiro, Purdue University, US Prabhat Ram, Lawrence Berkeley National Laboratory, US Edoardo Serra, Boise State University, US Shaden Smith, Microsoft, US Jordi Torres, Barçelona Supercomputing Center, ES Gina Tourassi, Oak Ridge National Laboratory, US Draguna Vrabie, Pacific Northwest National Laboratory, US David Womble, Oak Ridge National Laboratory, US

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Ada Developer Room at FOSDEM 2022 - Sun 6 Feb - online
by Dirk.Craeynest＠cs.kuleuven.be 03 Feb '22

03 Feb '22

----------------------------------------------------------------------- Call for Participation 11th Ada Developer Room at FOSDEM 2022 Sunday 6 February 2022, online from Brussels, Belgium Organized in cooperation with Ada-Belgium [1] and Ada-Europe [2] fosdem.org/2022/schedule/track/ada/ www.cs.kuleuven.be/~dirk/ada-belgium/events/22/220206-fosdem.html #AdaFOSDEM #AdaDevRoom #AdaProgramming #AdaBelgium #AdaEurope #FOSDEM2022 ----------------------------------------------------------------------- FOSDEM [3], the Free and Open source Software Developers' European Meeting, is a non-commercial two-day weekend event organized early each year in Brussels, Belgium. It is highly developer-oriented and brings together 8000+ participants from all over the world. The 2022 edition takes place on Saturday 5 and Sunday 6 February. It is free to attend and no registration is necessary. This year, for obvious reasons, it has been turned into an online event, just like last year. In this edition, the Ada FOSDEM community organizes once more 8 hours of presentations related to Ada and Free or Open Software in a s.c. Developer Room. The "Ada DevRoom" at FOSDEM 2022 is held on the 2nd day of the event, and offers introductory presentations on the Ada programming language, as well as more specialised presentations on focused topics, tools and projects: a total of 13 Ada-related presentations by 12 authors from 8 countries! Program overview: - Introduction to the Ada DevRoom, by Fernando Oleo Blanco, Germany - Introduction to Ada for Beginning and Experienced Programmers, by Jean-Pierre Rosen, France - Ada Looks Good, Now Program a Game Without Knowing Anything, by Stefan Hild, Germany - The Ada Numerics Model, by Jean-Pierre Rosen, France - 2022 Alire Update, by Fabien Chouteau, France, Alejandro Mosteo, Spain - SweetAda: Lightweight Development Framework for Ada-based Software Systems, by Gabriele Galeotti, Italy - Use (and Abuse?) of Ada 2022 Features to Design a JSON-like Data Structure, by Alejandro Mosteo, Spain - Getting Started with AdaWebPack, by Max Reznik, Ukraine - Overview of Ada GUI, by Jeffrey Carter, Belgium - SPARKNaCl: a Verified, Fast Re-implementation of TweetNaCl, by Roderick Chapman, UK - The Outsider's Guide to Ada: Lessons from Learning Ada in 2021, by Paul Jarrett, USA - Proving the Correctness of the GNAT Light Runtime Library, by Yannick Moy, France - Implementing a Build Manager in Ada, by Stephane Carrez, France - Exporting Ada Software to Python and Julia, by Jan Verschelde, USA - Closing of the Ada DevRoom, by Dirk Craeynest, Belgium, Fernando Oleo Blanco, Germany The Ada at FOSDEM 2022 web-page will have all details, such as the full schedule, abstracts of presentations, biographies of speakers, and pointers to more info, including live video streaming and chat, plus recordings afterwards. For the latest information at any time, contact Fernando Oleo Blanco <irvise(a)irvise.xyz>, or see: [1] http://www.cs.kuleuven.be/~dirk/ada-belgium/ [2] http://www.ada-europe.org/ [3] https://fosdem.org/2022/ ----------------------------------------------------------------------- Dirk Craeynest, FOSDEM Ada DevRoom team Dirk.Craeynest(a)cs.kuleuven.be (for Ada-Belgium/Ada-Europe/SIGAda/WG9)

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Virtualization in High-Performance Cloud Computing (VHPC 2022) - Call for Papers
by Tommaso Cucinotta 02 Feb '22

02 Feb '22

[apologies for cross-postings] The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) <vhpc.org/> is an international forum bringing together researchers and industrial practitioners facing the challenges posed by virtualization in HPC/Cloud scenarios, 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 17th edition of VHPC will be held on June 2nd, jointly with the ISC High-Performance 2022 <https://www.isc-hpc.com/> conference and exhibition in Hamburg (Germany), and will feature two excellent industrial _/keynote speakers/_ * “rtla: finding the sources of OS noise on Linux”, Daniel Bristot De Oliveira, Senior Principal Software Engineer in the real-time kernel team at Red Hat * “DynamoDB: NoSQL database services for predictable HPC workloads”, Akshat Vig, Principal Software Engineer at Amazon Web Services (AWS). In addition to the general research topics mentioned below, VHPC'22 encourages particularly contributions on the following _/focus topics/_: * Container Platforms (Kubernetes, Docker, Singularity, Shifter, rkt, …) for Scientific Workflows * Composable Lightweight Applications and Unikernel Frameworks * Latency Control and Data/Container Placement in Heterogeneous HPC Virtualized Environments * Energy-efficiency and Service Orchestration in Virtualized Cloud & HPC Infrastructures *Workshop Overview* 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 and heterogeneous infrastructures in a seamless fashion to support the highly dynamic and diverse workloads and 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. More recently, Function as a Service (Faas) and Serverless computing, leveraging on lightweight virtualizaton and containerization solutions, widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services can 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 bare-metal 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. *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 cloud computing. Each topic encompasses aspects related to design/architecture, management, performance management, modeling and configuration/tooling: Design / Architecture: * Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter) * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) * VM & Container trust and security models * Multi-environment coupling, system software supporting in-situ analysis with HPC simulation * Cloud reliability, fault-tolerance and high-availability * Energy-efficient and power-aware virtualization * Containers inside VMs with hypervisor isolation * Virtualization support for emerging memory technologies * Lightweight/specialized operating systems in conjunction with virtual machines * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Novel unikernels and use cases for virtualized HPC environments * ARM-based hypervisors, ARM virtualization extensions Management: * Container, VM and data management for HPC and cloud environments * HPC services integration, services to support HPC * Service and on-demand scheduling & resource management * Dedicated workload management with VMs or containers * Workflow coupling with VMs and containers * Unikernels and lightweight VM application management * Environments and tools for operating containerized environments (batch, orchestration) * Novel models for non-HPC workload provisioning on HPC resources Performance Measurements and Modeling: * Performance improvements for or driven by unikernels * Optimizations of virtual machine monitor platforms and hypervisors * Scalability analysis of VMs and/or containers at large scale * Performance measurement, modeling and monitoring of virtualized/cloud workloads * Virtualization in supercomputing environments, HPC clusters, HPC in the cloud * Energy-efficient deployment of high-performance, ultra-low latency and real-time workloads in cloud infrastructures * Modeling, control and isolation of end-to-end performance for parallel & distributed cloud/HPC applications Configuration / Tooling: * Tool support for unikernels: configuration/build environments, debuggers, profilers * Job scheduling/control/policy and container placement in virtualized environments * Measuring and controlling “OS/Virtualization noise” * Operating MPI in containers/VMs and Unikernels * GPU virtualization operationalization 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. For more information and detailed paper submission instructions, refer to the VHPC'22 webpage <https://vhpc.org/>: https://vhpc.org/ *Important Dates* * *Apr 12th, 2022*: Abstract submission (opens /Feb 14th, 2022/) * *Apr 19th, 2022*: Paper submission deadline (Springer LNCS) * *May 3rd, 2022*: Acceptance notification * *Jun 2nd, 2022*: Workshop Day * *Jul 10th, 2022*: Camera-ready version due (post-workshop) *General Chairs* * Michael Alexander, BOKU Vienna, Austria * Anastassios Nanos, Nubificus Ltd., UK * Tommaso Cucinotta, Scuola Superiore Sant’Anna, Ital -- Tommaso Cucinotta, Associate Professor of Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/~tommaso/eng/research.html

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computational.science February 2022