[TALK]@Telematika

Talks & Presentations Collection

word2vec and friends
December 24, 2019

word2vec and friends

Bruno Gonalves explores word2vec and its variations, discussing the main concepts and algorithms behind the neural network architecture used in word2vec and the word2vec reference implementation in TensorFlow. Bruno then presents a bird's-eye view of the emerging field of "anything"-2vec methods that use variations of the word2vec neural network architecture.

Zombie Kubernetes! : Making Nodes Rise From the Dead

Zombie Kubernetes! : Making Nodes Rise From the Dead

December 24, 2019

How to install Kubernetes using immutable configuration. Remove points of provisioning failure by leveraging cloud-config for configuration. …
Closing the gap between Jupyter and academic publishing

Closing the gap between Jupyter and academic publishing

December 23, 2019

Reports of a lack of reproducibility have led funders and others to require open data and code as the outputs of research they fund. Mark Hahnel and Marius Tulbure discuss the opportunities for Jupyter notebooks to be the final output of academic research, arguing that Jupyter could help disrupt the inefficiencies in cost and scale of open access academic publishing.
Collaboration and automated operation as literate computing for reproducible infrastructure

Collaboration and automated operation as literate computing for reproducible infrastructure

December 23, 2019

Jupyter is useful for DevOps. It enables collaboration between experts and novices to accumulate infrastructure knowledge, while automation via notebooks enhances traceability and reproducibility. Yoshi Nobu Masatani shows how to combine Jupyter with Ansible for reproducible infrastructure and explores knowledge, workflow, and customer support as literate computing practices.
Data science at UC Berkeley: 2,000 undergraduates, 50 majors, no command line

Data science at UC Berkeley: 2,000 undergraduates, 50 majors, no command line

December 23, 2019

Engaging critically with data is now a required skill for students in all areas, but many traditional data science programs arent easily accessible to those without prior computing experience. Gunjan Baid and Vinitra Swamy explore UC Berkeley's Data Science program2,000 students across 50 majorsexplaining how its pedagogy was designed to make data science accessible to everyone.
Data science without borders

Data science without borders

December 23, 2019

Wes McKinney makes the case for a shared infrastructure for data science, discusses the open source community's efforts on Apache Arrow, and offers a vision for seamless computation and data sharing across languages.
Deep Dive in Docker Overlay Networks

Deep Dive in Docker Overlay Networks

December 23, 2019

The Docker network overlay driver relies on several technologies: network namespaces, VXLAN, Netlink and a distributed key-value store. This talk will present each of these mechanisms one by one along …
Defactoring pace of change: Reviewing computational research in the digital humanities

Defactoring pace of change: Reviewing computational research in the digital humanities

December 23, 2019

While Jupyter notebooks are a boon for computational science, they are also a powerful tool in the digital humanities. Matt Burton offers an overview of the digital humanities community, discusses defactoringa novel use of Jupyter notebooks to analyze computational researchand reflects upon Jupyters relationship to scholarly publishing and the production of knowledge.
Deploying a reproducible course

Deploying a reproducible course

December 23, 2019

Web-based textbooks and interactive simulations built in Jupyter notebooks provide an entry point for course participants to reproduce content they are shown and dive into the code used to build them. Lindsey Heagy and Rowan Cockett share strategies and tools for developing an educational stack that emerged from the deployment of a course on geophysics and some lessons learned along the way.
Design for reproducibility

Design for reproducibility

December 23, 2019

Lorena Barba explores how to build the ability to support reproducible research into the design of tools like Jupyter and explains how better insights on designing for reproducibility might help extend this design to our research workflows, with the machine as our active collaborator.
Enhancing data journalism with Jupyter

Enhancing data journalism with Jupyter

December 23, 2019

Drawing inspiration from narrative theory and design thinking, Karlijn Willems walks you through effectively using Jupyter notebooks to guide the data journalism workflow and tackle some of the challenges that data can pose to data journalism.
GeoNotebook: An extension to the Jupyter Notebook for exploratory geospatial analysis

GeoNotebook: An extension to the Jupyter Notebook for exploratory geospatial analysis

December 23, 2019

Chris Kotfila offers an overview of the GeoNotebook extension to the Jupyter Notebook, which provides interactive visualization and analysis of geospatial data. Unlike other geospatial extensions to the Jupyter Notebook, GeoNotebook includes a fully integrated tile server providing easy visualization of vector and raster data formats.
GPGPU on OpenStack - The Best Practice for GPGPU Internal Cloud

GPGPU on OpenStack - The Best Practice for GPGPU Internal Cloud

December 23, 2019

GPGPU on OpenStack - the best practice for GPGPU internal cloud ( Masafumi Ohta, Itochu Techno Solutions) - GPGPU on OpenStack is one of the OpenStack use cases automotive companies may use it as huge …
IBM LinuxONE: The Largest Scalable Linux Server

IBM LinuxONE: The Largest Scalable Linux Server

December 23, 2019

The Modernization possibilities on the Most Scalable Compute Platform for Secure Data Driven Workloads Open source has become a hub for innovation. New use cases such as containers, new classes of dat …
Keynote: Challenges in Industrializing OSS and How Siemens Tackles Them

Keynote: Challenges in Industrializing OSS and How Siemens Tackles Them

December 23, 2019

Deploying Open Source software, including though not only Linux, intoindustrial environments creates a number of challenges. While some ofthem are common to many domains, some remain specific. This …
Keynote: The Tao of HashiCorp

Keynote: The Tao of HashiCorp

December 23, 2019

The Tao of HashiCorp are the guiding principles for the vision, roadmap, and design of HashiCorp tooling. It represents the product design ideals that are most important to and represented in HashiCor …
Maintaining a Linux Kernel for 13 Years? You Must be Kidding Me. We Need at Least 30?

Maintaining a Linux Kernel for 13 Years? You Must be Kidding Me. We Need at Least 30?

December 23, 2019

Industrial grade solutions has a life expectancy of 30+ years. Maintaining a Linux kernel for such a long time in the open has not been done. Many claim that is not sustainable but corporations that b …
No One Puts the JVM in a Container

No One Puts the JVM in a Container

December 23, 2019

The current craze of Docker has everyone sticking their processes inside a container… but do you really understand cgroups and how they work? Do you understand the difference between CPU Sets and CP …
Panel Discussion: Outreachy Kernel Internship Report

Panel Discussion: Outreachy Kernel Internship Report

December 23, 2019

Come learn about the great work our kernel interns have accomplished! Outreachy provides a 3-month paid internship for women, trans men, genderqueer people, and US members of other underrepresented gr …
Porting U-Boot and Linux on New ARM Boards: A Step-by-Step Guide

Porting U-Boot and Linux on New ARM Boards: A Step-by-Step Guide

December 23, 2019

May it be because of a lack of documentation or because we don't know where to look or where to start, it is not always easy to get started with U-Boot or Linux, and know how to port them to a new ARM …
Subverting the Linux Kernel

Subverting the Linux Kernel

December 23, 2019

A 'rootkit' typically refers to malicious software that enables an attacker to mask or obscure traces of intrusion and secure further control on a compromised system. While userland rootkits generally …
Connected Intelligence: Edge-Native Design for IoT Apps and Microservices Beyond the Cloud

Connected Intelligence: Edge-Native Design for IoT Apps and Microservices Beyond the Cloud

December 22, 2019

We are entering the next phase of distributed computing where we find ourselves immersed in ubiquitous & cheap compute in the form of IoT devices all around us. This presents an opportunity to evolve …
Dirty Clouds Done Dirt Cheap

Dirty Clouds Done Dirt Cheap

December 22, 2019

OpenStack is an open source cloud ecosystem that is designed to work well at all scales. But, how does it work for an individual wanting to deploy a cloud with their own resources? I've wanted to bui …
Docker, Moby is Killing Your #devops Efforts

Docker, Moby is Killing Your #devops Efforts

December 22, 2019

Containers have been a round for over a decade, Docker for almost half of that, the new hipster tool is touted to be the ultimate devops tool, but is it ? This talk will show that docker sometimes is …
How Jupyter makes experimental and computational collaborations easy

How Jupyter makes experimental and computational collaborations easy

December 22, 2019

Scientific research thrives on collaborations between computational and experimental groups, who work together to solve problems using their separate expertise. Zach Sailer highlights how tools like the Jupyter Notebook, JupyterHub, and ipywidgets can be used to make these collaborations smoother and more effective.
How JupyterHub tamed big science: Experiences deploying Jupyter at a supercomputing center

How JupyterHub tamed big science: Experiences deploying Jupyter at a supercomputing center

December 22, 2019

Shreyas Cholia, Rollin Thomas, and Shane Canon share their experience leveraging JupyterHub to enable notebook services for data-intensive supercomputing on the Cray XC40 Cori system at the National Energy Research Scientific Computing Center (NERSC).
How the Jupyter Notebook helped fast.ai teach deep learning to 50,000 students

How the Jupyter Notebook helped fast.ai teach deep learning to 50,000 students

December 22, 2019

Although some claim you must start with advanced math to use deep learning, the best way for any coder to get started is with code. Rachel Thomas explains how fast.ai's Practical Deep Learning for Coders course uses Jupyter notebooks to provide an environment that encourages students to learn deep learning through experimentation.
Humans in the loop: Jupyter notebooks as a frontend for AI pipelines at scale

Humans in the loop: Jupyter notebooks as a frontend for AI pipelines at scale

December 22, 2019

Paco Nathan reviews use cases where Jupyter provides a frontend to AI as the means for keeping humans in the loop. This process enhances the feedback loop between people and machines, and the end result is that a smaller group of people can handle a wider range of responsibilities for building and maintaining a complex system of automation.