Episode 129: Display, Input and Haptics
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Michael, Chet and Romain in the cozy London recording studio.
In this episode, Chet and Romain travel all the way to London to have a chat with Michael Wright. This is not Michael's first time on the podcast and one again the discussion is about displays, input devices and haptics.

If you want to learn more about high refresh rate displays (90/120 Hz), HDR, audio-coupled haptics, how gamepads are supported and, curiously, about the Android API council, you found the right episode!

Subscribe to the podcast feed or download the audio file directly.

Chet@chethaase
Tor@tornorbye
Romain@romainguy


Thanks to continued tolerance and support by our audio engineer, Bryan Gordon.
Code[ish]
Code[ish]
Heroku
93. Conferences in a Virtual World
Chris Castle is a developer advocate at Heroku and Salesforce. He is joined by Carter Rabasa, the lead organizer of CascadiaJS, as well as Julián Duque, a developer advocate here at Salesforce/Heroku who organizes NodeConf and JSConf in Colombia. Carter shares his first experiences at a tech conference, finding it to be surprisingly intimate and a great community of well-intentioned web developers that wanted to learn. He was inspired to start CascadiaJS, a JavaScript conference situated in the Pacific Northwest. Over time, he realized that it's the people and the networking opportunities that really makes CascadiaJS special. When COVID-19 made it clear that in-person events would not happen for 2020, he and his team struggled to figure out how to put on an event that their community would love. It required them to imagine a future where software to support their vision didn't exist yet. They became certain that the event would need to learn how to be virtual for a long time. They accepted this challenge, and set to work building a conference model that they felt was interactive and immersive. There was just a tremendous excitement and enthusiasm to see if they could do something that hadn't been done yet. Of course, they stumbled in several ways; there were issues sending swag to customers, for example. Still, there are many reasons to keep the virtual conference format. For one, it's more accomodating for people with physical accessibility issues as well as attendees all over the world. There's more flexibility in the timing of events, where speakers can just play their sessions one after another; attendees can hop between different workshops and talks at the click of a mouse. Julián agrees that CascadiaJS' hybrid format of a recorded talk followed by a live Q&A was great for engagement, as speakers were chatting with viewers as their session played. Overall, Carter is excited at future conferences having a serious virtual component to them. Links from this episode * CascadiaJS 2020 went virtual-only for the first time * We Need Better Virtual Dev Conferences article * NodeConf and JSConf in Colombia are just two events grappling with the pandemic
Google Cloud Platform Podcast
Google Cloud Platform Podcast
Google Cloud Platform
HPC with Senanu Aggor and Ilias Katsardis + Deloitte Cyber Analytics with Eric Dull
Mark and Brian are together this week, hosting our guests Senanu Aggor and Ilias Katsardis as we discuss High Performance Computing with Google. HPC uses powerful computers to solve problems that would otherwise be too large or take too long for standard machines. Innovation and advances in cloud technology have made this resource more accessible, more scalable, and more affordable. Senanu lists some great use cases for HPC, including vehicle manufacturing and the medical field and describes how these markets benefit from the extra power HPC offers. Ilias talks tech and helps us understand the evolution of the Google HPC offering and the architecture most often used with HPC. He explains the benefits of HPC on the cloud over the old way, emphasizing the flexibility of choosing machines based on your code rather than forcing your code onto small machines. Storage of data is flexible, scalable, and secure as well. Diminishing VM to VM latency has been an important advancement in HPC, and Ilias describes how Google has decreased latency. Google Cloud customers are using the HPC offering for all kinds of large computing jobs, and Senanu details some of these real world instances. From Covid vaccine research to disaster evacuation planning, HPC on the cloud is changing the way we process data. Later, Ilias tells our listeners how to get started with their HPC project. Senanu Aggor Senanu Aggor is the Product Marketing Manager for Google Cloud’s High Performance Computing (HPC) solution. Ilias Katsardis Ilias Katsardis is the HPC Solution Lead for the Customer Engineering team (EMEA) at Google. In this role, Ilias brings over 14 years of experience in the cloud computing and high-performance computing industries to promote Google Cloud’s state-of-the-art infrastructure for complex HPC workloads. Previously, he worked as an applications analyst at Cray Inc., where he was a dedicated analyst to the European Centre for Medium-Range Weather Forecasts (ECMWF), and, prior to that, was an HPC application specialist at ClusterVision. Ilias also founded two startups Airwire Networks in 2006 and Performance Hive in 2017. Cool things of the week * What’s happening in BigQuery: Time unit partitioning, Table ACLs and more blog * BigQuery explained: Blog series blog * BigQuery Spotlight videos * Cloud Functions vs. Cloud Run video Interview * High Performance Computing site * GCP Podcast Episode 237: NVIDIA with Bryan Catanzaro podcasdt * GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast * Compute Engine site * Compute Engine Machine Types site * Cloud Storage site * Cloud Firestore site * Google Cloud with Intel site * Cloud GPUs site * Best practices for running tightly coupled HPC applications on Compute Engine site * Super Computing Event site Stackchat at home This week, Max Saltonstall is talking cyber analytics with Eric Dull from Deloitte.
41 min
Soft Skills Engineering
Soft Skills Engineering
Jamison Dance and Dave Smith
Episode 232: "Junior" developer and NDA'd
In this episode, Dave and Jamison answer these questions: Questions * First I want to say thank you and I really love the show and all your helpful advice. I think it has made be become a better developer. I am a current junior in high school and the lead developer (intern) of the small non profit with approximately 10 college and graduate interns on it. School has recently started to push me away from the project (not enough time in the day) but I still want to be a source of help. I wrote a very significant portion of the code for the current application, however the founder wanted this to be shipped as quickly as possible and this led in a sense to a bit of a cobbled together mess of microservices and no documentation. My main problem is that although I feel I have the technical skills to lead the team, I really do not have much experience in terms of team management, especially in the case of leading a development team. During the main development of the application, it mainly consisted of me and this other developer writing the code. However now that they are gone, I am the only person (along with someone else who kind of has an understanding) with knowledge and familiarity of the code base. Sorry this is long, but I guess what I am asking is how can I (i) create a team structure that will not only prepare interns for real world development as well as making sure that the application remains after I move on and (ii) help build processes and structure that will allow people to meaningfully contribute to the code base. Also, just for more information, I have not yet added unit tests or code reviews. Most of this just usually became just as me. * I work in AI startup and planning to change my job. My contract is full of NDAs about pretty much everything. How do I talk with companies and recruiters about things I do when I’m not allowed to disclose project details like technologies or libraries used, algorithms for data manipulation, or even where we take data from, bought or downloaded. I can’t say anything more than “I work on AI and we do music manipulation in a programming language”. What do I say?
33 min
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