InfoQ Homepage QCon New York 2012 Content on InfoQ
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River Trail: Adding Data Parallelism to JavaScript
Richard L. Hudson introduces River Trail, a JavaScript parallel programming API enabling a JavaScript developer to take advantage of the hardware’s parallel computing capabilities.
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Facebook News Feed: Social Data at Scale
Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.
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Integrating GPUs in Application Development - From Concept to Deployment
Graham Brooks discusses using GPU for application development, explaining how GPUs can be used for general purpose programming and how continuous integration can be applied.
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Big Time: Introducing Hadoop on Azure
Yaniv Rodenski introduces Hadoop, then running Hadoop on Azure and the available tools and frameworks.
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GPUs in Finance
Andrew Sheppard overviews the driving forces behind GPU’s adoption by the financial industry, and explains the use of the Monte Carlo technique on GPUs.
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Futures and Promises: Lessons in Concurrency Learned at Tumblr
Blake Matheny discusses the current status of Tumblr, its evolution and lessons learned along the way, 3 types of concurrency -Macro, Mecro and Micro-, and Motherboy –a dashboard system-.
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Visualizing Information with HTML5
Dio Synodinos explains and demoes HTML5 visualization tools and frameworks: CSS3, SVG, Canvas, WebGL, Raphaël, Processing.js, D3.js, Fabric.js, etc.
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Why You Won't Hear the Word "Cloud" on Wall Street
Ari Zilka informs on the cloud tools and process changes needed to take place for the financial and banking institutions to become interested in the technologies cloud computing has to offer.
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Optimized for Change: Architecture @ Etsy
Kellan Elliott-McCrea discusses the technological and process changes Etsy has been going through the last two years in order to make the website more resilient.
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Web API Evolution
Rob Daigneau discusses some of the challenges met when creating and maintaining web APIs, impediments and design patterns for web API evolution.
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Embracing Concurrency at Scale
Justin Sheehy discusses designing reliable distributed systems that can scale in order to deal with concurrency problems and the tradeoffs required by such systems.
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How to Follow Instructions
Leonard Richardson discusses REST and hypermedia links and forms – seen as instructions from the server to the client. Client using instructions can be reused and support complex behavior.
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