Conferences and Meetings on Algorithms and Open Source Development
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Austria (1) - China (1) - France (2) - Japan (1) - Romania (1) - Singapore (1) - Taiwan (1) - United Kingdom (1) - United States (12)
ISAAC 2018 - 29th International Symposium on Algorithms and Computation
16 Dec 2018 - 19 Dec 2019 • Jiaoxi, Yilan County, Taiwan
Vienna Workshop on Computational Optimization
17 Dec 2018 - 19 Dec 2019 • Vienna, Austria
Best Apache Storm Training 100% PRACTICAL - MindMajix, free DEMO
27 Mar 2019 - 31 Dec 2022 • New York, United States
About Apache Storm Training: Apache Storm is an open-source and distributed stream processing computation framework used for processing large volumes of high-velocity data.and its comparison with hadoop, Big Data world., etc.This Apache StormTraining from MindMajix will give you a working knowledge of the open-source Storm computational engine. You will be able to do distributed real-time data processing and come up with valuable insights.
Mindmajix Technologies INC; Phone: ; Email: firstname.lastname@example.org
ApacheStromTraining, Apachestormonline, stormtechnology
Data Council - Software Engineering, Data Engineering, Data Science, Data Analytics and AI
17 Apr 2019 - 17 Apr 2021 • San Francisco, United States
We are a community-powered data platforms, engineering, science, and analytics event for software engineers, machine learning experts, deep learning researchers & artificial intelligence buffs who want to discover tools & insights to build new products.
Phone: ; Email: email@example.com
data engineering, data science, software engineering
29 Jul 2019 • Space Telescope Science Institute, Baltimore, MD, , United States
USENIX Security : USENIX Security Symposium
14 Aug 2019 - 16 Aug 2019 • Santa Clara, CA, United States
USENIX Security brings together researchers, practitioners, system administrators, system programmers, and others to share and explore the latest advances in the security and privacy of computer systems and networks.
FOSS4G 2019 Bucharest — Free and Open Source Software for Geospatial
26 Aug 2019 - 30 Aug 2019 • Bucharest, Romania
FOSS4G stands for Free and Open Source Software for Geospatial. It is the flagship event of OSGeo. Since the first get together, in 2006 in Lausanne, Switzerland, it has been the place where you go for the vibe of the Open Source geoCommunity, where you see the latest developments, find out the latest new super library, or hear of that new innovative product or service. It is the place where you meet the people who wrote the books you read in University, who’s blogs and Twitter accounts you follow.
ELC — Embedded Linux Conference
28 Oct 2019 - 30 Oct 2019 • Lyon, France
Embedded Linux Conference (ELC) is the premier vendor-neutral technical conference where developers working on embedded Linux and industrial IoT products and deployments gather for education and collaboration, paving the way for innovation. Attend, and join 800+ technical experts paving the way for transformation in these key areas from across the globe for education, collaboration and deep dive learning opportunities.
ISAAC 2019 — 30th International Symposium on Algorithms and Computation
08 Dec 2019 - 11 Dec 2019 • Shanghai, China
The 30th International Symposium on Algorithms and Computation (ISAAC 2019) will take place in Shanghai, China on December 8-11, 2019. The symposium is intended to provide a forum for researchers working in algorithms and theory of computation. Keynote Speakers. Xi Chen (Columbia University, USA) Leslie Ann Goldberg (University of Oxford, UK)
17th IMA International Conference on Cryptography and Coding
16 Dec 2019 - 18 Dec 2019 • Oxford, United Kingdom
ALENEX20 — Algorithm Engineering and Experiments
05 Jan 2020 - 06 Jan 2020 • Salt Lake City, Utah, United States
Society for Industrial and Applied Mathematics (SIAM)
The aim of ALENEX is to provide a forum for the presentation of original research in the design, implementation, and experimental evaluation of algorithms and data structures. Typical submissions will include an ,extensive experimental analysis of nontrivial algorithmic results, ideally bridging the gap between theory and practice. We also invite submissions that address methodological issues and standards in the experimental evaluation of algorithms and data structures.
databases; geometry; graphs and networks, including web applications; operations research; combinatorial aspects of scientific computing; and computational problems in the natural sciences or engineering
SODA20 — ACM-SIAM Symposium on Discrete Algorithms
05 Jan 2020 - 08 Jan 2020 • Salt Lake City, Utah, United States
SODA is jointly sponsored by the SIAM Activity Group on Discrete Mathematics and the ACM Special Interest Group on Algorithms and Computation Theory
This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems
ANALCO20 — Analytic Algorithmics and Combinatorics
06 Jan 2020 - 07 Jan 2020 • Salt Lake City, Utah, United States
Society for Industrial and Applied Mathematics – SIAM
100th AMS Annual Meeting — 10th Symposium on Advances in Modeling and Analysis Using Python
12 Jan 2020 - 16 Jan 2020 • Boston, MA, United States
American Meteorological Society (AMS)
The 10th Symposium on Advances in Modeling and Analysis Using Python is sponsored by the American Meteorological Society and organized by the AMS Committee on Environmental Information Processing Technologies
New Trends in Algorithms and Theory of Computation
05 Feb 2020 - 07 Feb 2020 • Kyoto University, Japan
Kyoto University/Nagoya University
Mathematics of Reduced Order Models
17 Feb 2020 - 21 Feb 2020 • Providence, RI, United States
Mathematical models of scientific applications often involve simulations with a large number of degrees of freedom that strain even the most efficient of algorithms. A clear need is the rigorous development of models with reduced complexity that retain fidelity to the application. Mathematics-based reduced-order modeling applies techniques in nonlinear approximation, projection-based discretizations, sparse surrogate construction, and high-dimensional approximation, in order to construct a model surrogate with near-optimal approximation properties. This workshop focuses on theoretical and algorithmic advances in mathematics-based model order reduction of various types: reduced basis methods, projection-based methods for dynamical systems, and sparse and low-rank approximations in high dimensions.
NSDI — USENIX Conference on Networked Systems Design and Implementation
25 Feb 2020 - 27 Feb 2020 • Santa Clara, United States
Algorithms for Dimension and Complexity Reduction
23 Mar 2020 - 27 Mar 2020 • Providence, RI, United States
Mathematical advances that reduce the complexity of models are complemented by algorithms that achieve the desired reduction in computational effort. This workshop focuses on the synthesis and development of algorithmic approaches to model order reduction. These methods tackle fundamental problems in structure- and topology-preserving reductions, low-rank models and dimension reduction, multi-level approaches, and empirical interpolation and approximations, etc. Complementary approaches that target computational efficiency include strategies with offline and online phases and divide-and-conquer algorithms.
Algorithm and Programming
04 May 2020 - 08 May 2020 • CIRM – Luminy, France
Centre International de Rencontres Mathématiques (CIRM)
13 Jul 2020 - 21 Jul 2020 • Singapore, Singapore
Institute for Mathematical Sciences/National University of Singapore
The more data we have, the more data we need to process. Whether it is internet traffic or biological data, the hardware is never fast enough. The aim of this workshop is to focus on analysing data under new models: when the data cannot be stored (e.g., identifying viruses in the Internet traffic), when we use multiple cores to analyse the data, and when we are generating short sketches of the data to be sent and analysed by someone else. We believe a new set of algorithmic techniques (which rely mostly on statistics and on data structures) can be used in these models, and wish to find such techniques and employ them. An important focus of this workshop is to find algorithms which are elegant, and thus can also be used in practice. To develop these algorithms, it is critical to connect the key subareas of algorithmic research on big data. These key subareas include streaming, sketching, and sampling. The goal of the workshop is to bring researchers together from these different sub-areas and to establish strong collaborations among the attendees.
ACT — USENIX Annual Technical Conference
15 Jul 2020 - 17 Jul 2020 • Boston, United States
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Last updated: 21 July 2019