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18:59
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Victor Grazi on Java, Process and being a Java Champion

Interview with Victor Grazi Follow 7 Followers on  Nov 04, 2013

Victor Grazi talks to InfoQ about his popular tutorial application Java Concurrent Animated, and other things on his mind including Java, the financial industry, software development lifecycle, and being a Java Champion.

21:52
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Richard Minerich on Functional Programming, F#, Type Providers and Dynamic Languages

Interview with Richard Minerich Follow 0 Followers on  Sep 04, 2013

Richard Minerich explains the reasons for choosing F#, how F# Type Providers help to integrate languages like R, how to bring Functional Programming to enterprise developers, and much more.

15:27
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David Nolen on Logic and Constraint Programming, Core.logic, Mozart/Oz

Interview with David Nolen Follow 1 Followers on  Mar 08, 2013

David Nolen explains the ideas behind logic and constraint programming, how they're used in his Clojure core.logic library, Prolog, the features in the Oz language and Mozart/Oz, and much more.

36:10
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Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell

Interview with Duncan Coutts Follow 0 Followers on  Feb 21, 2013

Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.

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Omer Kilic on Erlang, Using the Actor Model for Embedded Systems, Raspberry Pi

Interview with Omer Kilic Follow 0 Followers on  Jan 28, 2013 4

Omer Kilic explains the use of Erlang for embedded systems and how Actors help to model hardware components and concurrency aspects. Also: the work on using Erlang to program the Raspberry Pi.

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Erik Meijer discusses programming language design, effects and some web programming problems

Interview with Erik Meijer Follow 1 Followers on  Dec 21, 2012 3

Erik Meijer distinguishes between two kinds of programming languages, pure functional and all the others. He emphasizes some issues regarding mixing higher order programming with effects. Erik then talks about the nature of Javascript, and true problems we need to solve in web programming.

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Viktor Klang on Akka, Futures and Promises, Scala

Interview with Viktor Klang Follow 1 Followers on  Jun 14, 2012

Viktor Klang talks about the features of Akka 2.x and future releases, Akka's approach to fault tolerance, the effort to unify Futures in Scala, and the state of functional programming.

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James Spooner on Data Flow Parallelism and Hardware Acceleration

Interview with James Spooner Follow 0 Followers on  Jun 01, 2012 1

James Spooner explains how Data Flow Parallelism works and how it helps to design efficient parallel algorithms. Also: OOP vs. Parallelism.

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Trisha Gee from LMAX Discusses Concurrent Java Programming, Agile, and Diversity in IT

Interview with Trisha Gee Follow 7 Followers on  May 18, 2012

In a wide-ranging interview, LMAX's Trisha Gee talks to Charles Humble about using Java for low latency programming, and the Disruptor, an open source concurrent programming framework developed by LMAX. She also discusses the agile management techniques used at LMAX, and issues around gender and ethnic diversity in IT.

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Philip Wadler on Functional Programming

Interview with Philip Wadler Follow 1 Followers on  May 03, 2012 4

Philip Wadler talks about the role of functional programming and some of the reasons for its slow rise in the past and its influence today. Also: lambda calculus, monads, continuations and much more.

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Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures

Interview with Rich Hickey Follow 16 Followers on  Apr 04, 2012

Rich Hickey explains the ideas behind the Datomic database: why Datalog is used as the query language, the functional programming concepts at its core, the role of time in the DB and much more.

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John Nolan on the State of Hardware Acceleration with GPUs/FPGAs, Parallel Algorithm Design

Interview with John Nolan Follow 0 Followers on  Jan 19, 2012 1

John Nolan shows the state of hardware acceleration with GPUs and FPGAs, why it's hard to write efficient code for them, and why to favor polymorphism over if statements for performance.

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