"Ivannikov Memorial Workshop"
The Workshop is devoted to the development of innovative technologies in system programming, which serve as a basis for modern IT industry. The main sections:
The Workshop is dedicated to the memory of outstanding Soviet and Russian scientist and developer, Academician Victor Ivannikov, who founded the Institute for System Programming (ISP RAS) in 1994. The Workshop is organized with support of IEEE.
To present your research at Ivannikov Memorial Workshop please submit a paper, that was neither published nor submitted for other conferences. We accept original materials containing the results of research or describing the work in progress. We invite both researchers and practitioners.
All the materials are accepted in English or in Russian via EasyChair
The section is devoted to optimization methods in compiler and code generation, static and dynamic program analysis, etc. The topics include:
The section is devoted to data management and data analysis (methods and systems for storing and analyzing large volumes of text, graph, multimedia, scientific and other types of data). The topics include:
The section is devoted to the open source HPC packages for solving continuum mechanics problems. The topics include:
The section is devoted to methods, architectures and components of modern operating systems for reliable and efficient computing and control systems. The topics include:
Victor Ivannikov (1940-2016) was a prominent scientist in the field of computer engineering and programming.
While at Institute of Precise Mechanics and Computer Engineering (IPMaCE) he become a leading member of the team responsible for creating the D-68 operating system for the BESM-6 computer. Working on advanced hardware systems Ivannikov gained extensive experience of system programming that enabled him to make notable contributions to the development of operating systems, including the creation of new ways to organize parallel processing and programming complexes.
Ivannikov also conducted numerous research projects and was responsible for important innovations in object-oriented programming, creating new cluster technology that was implemented during the creation of the AS-6 operating system and has been used in various computational complexes and supercomputers.
In 1994 he founded the Institute for System Programming of the Russian Academy of Sciences (ISP RAS) and was its first director.
1 ISP RAS
1 Acting Rector of NovSU
1 Dept. of Mathematics and Computer Science, Techn. Univ. of Denmark, Denmark
1 Science Department at the Technion, Israel Institute of Technology, Israel
Modern deep neural networks are comprised of millions and billions of parameters, which require massive amounts of data and time to train, making it impractical to train them from scratch on a single machine. Distributing the computations over several machines can drastically reduce this training time, however, stochastic gradient descent (SGD), which is typically used to train these networks, is an inherently sequential algorithm. As a result, training deep neural networks on multiple workers is difficult, especially when using non-dedicated cloud resources trying to maintain high efficiency, scalability and final accuracy. In this talk I will describe some of our recent ideas in this scope.
Prof. Assaf Schuster of the Computer Science Department is the head of the new AI center at the Technion. He is a Fellow of the ACM and the IEEE, with more than 200 published papers in highly selected venues. His interests and publications are in the wide scope of distributed and scalable data mining, big and streaming data technologies including management, analytics & prediction, cyber security and system/IoT vulnerabilities, privacy preserving, cloud resource management and more. He consulted leading hi-tech companies and participated in the bumpy journey of several startups, two of which he co-founded and sold.
1 Assistant Professor Laboratory or Department: Biomedical Eng.
Heart diseases are the number one killer in the Western world. Currently, the most effective method to diagnose heart diseases is to use the 12-lead ECG. However, to analyze ECG recordings, an experienced cardiologist is needed. The utilization of mobile medicine has lagged behind as a result, leaving healthcare with the same diagnostic methods developed at the beginning of the 19th century by Einthoven. Moreover, in the majority of hospitals in Israel and Russia, the output of the 12-lead ECG is a paper rather than a digital record; as such, it is impossible to store and restore digitally when patient history is needed.
The main showstopper in the development of software for automatic analysis of ECG is the lack of a sufficiently large database. Such a database is required for training advanced machine learning tools to accurately discriminate between the diseases with high confidence. Attempts to generate this database have met several obstacles, including the fact that cardiologists do not always agree on the diagnosis, and the incomparable ECG output produced by machines from different vendors due to the lack of standards and benchmarks.
In my talk I will present a novel approach that can solve all of the above issues in an affordable way to the benefit of all. We designed a smart phone application and a cloud service. The physicians is able to use the application to consult with the cloud service on their ECG diagnosis. The cloud service receives the ECG recordings in a snapshot format, digitizes and store them in its database, and in return provides the physician with its disease classification result. This design, being useful from day one using existing hospital datasets, will make it attractive for cardiologists who wish to receive a second opinion in real time and will also allow the cloud service to grow its database by collecting labeled ECG recordings. Eventually, the size of the database will become large enough, thus making it possible to employ modern deep learning methods that will result in a highly accurate classification module at the cloud service.
Prof. Yael Yaniv received her B.Sc. in both Electrical and Mechanical Engineering (cum laude, 2002), her M.Sc. in Electrical Engineering (summa cum laude, 2003), and her Ph.D. in Biomedical Engineering (2007), all from the Technion—IIT, Israel. She completed a postdoctoral fellowship (2007-2012) in the Laboratory of Cardiovascular Sciences at the National Institute on Aging, National Institutes of Health, under the auspices of Dr. Edward Lakatta. She was a Research Fellow at the National Institute of Aging, National Institutes of Health. Currently (from June 2019), she has been serving as an Associate Professor in Biomedical Engineering at the Technion—IIT, Israel. She has been honored with Hershel Rich Innovation Award (2018), poster awards by the International Society of Heart Research and the Gordon Conference (both Cardiac Arrhythmia Mechanisms and Cardiac Regulatory Mechanisms 2010, 2011). She has received the Women’s Excellence in Scientific Research Award, (2013, 2007), Gutwirth Award (2005, 2006) and awards for excellence in teaching (2004, 2005, 2007).
ISP RAS, Lomonosov Moscow State University, CMC Department
1 ISP RAS
1 ISP RAS
1 ISP RAS
1 IPI RAN
Lomonosov Moscow State University, IPI RAN
1 Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)
1 ISP RAS
1 ISP RAS, RusBITech-Astra
1 Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences
1 Yaroslav-the-Wise Novgorod State University (NovSU)
ISP RAS, Russian-Armenian University
1 Russian-Armenian University, System programming laboratory
Bauman Moscow State Technical University, ISP RAS
1 ISP RAS
1 Moscow Institute of Physics and Technology (MIPT)
1 Federal Research Center "Computer Science and Control" of the Russian Academy of Science
The papers should be 3 to 7 pages long, formatted using IEEE Manuscript Templates for Conference Proceedings. The workshop proceedings will be published online in IEEE Xplore Digital Library and indexed in Web of Science и Scopus. Peer review is double-blind. Please remove any references to authors (such as names, affiliations or e-mails) from submitted articles, as well as direct references to previous works. In case of successful review and acceptance you will be requested to submit camera-ready text with necessary author details.
Submission is open at EasyChair.
Submissions that violate these guidelines will be rejected.
You may contact us by e-mail
Velikiy Novgorod, Antonovo district, 1. Novgorod State University (NovSU).
The conference is held from 9:00 to 18:00 (with coffee breaks and lunch for guests and participants).