Rubyconf 2017 High Performance Gpu Rubyconf 2017 High Performance Gpu
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Ruby being so old and a mature programming is still not preferred for Scientific Computing, mostly because it can't handle large ... Improving TruffleRuby's Startup Time with the SubstrateVM by Kevin Menard Ruby applications can be broadly split into two ... How to load 1m lines of Ruby in 5s by Andrew Metcalf Applications written in Ruby, Python and several other popular dynamic ... RubyCard: HyperCard, in Ruby by Zachary Schroeder HyperCard was a visionary application that gave users the ability to create, ... Using Ruby in data science by Kenta Murata I will talk about the current situation and the future of Ruby in the field of data science ... Finding Responsibility by Caleb Thompson In 2011, with a team of interns at a Department of Defense contractor, I created a Wi-Fi ...
Event Page: Produced by Engineers.SG Help us caption & translate this video! Types and Ruby Programming Language by Soutaro Matsumoto Types have been a big interest for Rubyists for more than ten ... By, Preston Lee Applications typically measure processing throughput as a function of CPU-bound algorithm Augmenting Human Decision Making with Data Science by Kelsey Pedersen Humans and data science are flawed on their own.
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Last Updated: June 8, 2026
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![Celebrity [EN] High Performance GPU computing with Ruby / Prasun Anand @prasun_anand Profile](https://i.ytimg.com/vi/LP9lIqCAbFE/mqdefault.jpg)
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