InfoQ Homepage Parallel Programming Content on InfoQ
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The Future of the JVM
The panelists discuss the future of the JVM in the context of parallelism and high concurrency of tomorrow’s thousands of cores.
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River Trail – Parallel Programming in JavaScript
Stephan Herhut introduces Intel's Parallel JavaScript (formerly known as "River Trail"), a new parallel programming API designed for JavaScript.
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Big Data, Small Computers
Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
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Fine Grained Coordinated Parallelism in a Real World Application
Mohammad Rezaei discusses fine-grained parallelism along with an algorithm called Aggregation and a concurrent map built to help dealing with it.
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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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Introduction to CUDA C
Cyril Zeller introduces NVIDIA CUDA development, showing how to write and execute C programs on the GPU, how to manage GPU memory and communication with the CPU.
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Concurrent Programming Using The Disruptor
Trisha Gee introduces Disruptor, a concurrency framework based on a data structure – a ring buffer – that enables fast message passing in a parallel environment.
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Objects, Anomalies, and Actors: The Next Revolution
Steve Vinoski believes that actor-oriented languages such as Erlang are better prepared for the challenges of the future: cloud, multicore, high availability and fault tolerance.
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Panel: Multicore, Manycore, and Cloud Computing
Joshua Bloch, Robert Bocchino, Sebastian Burckhardt, Hassan Chafi, Russ Cox, Benedict Gaster, Guy Steele, David Ungar, and Tucker Taft discuss the future of computing in a multicore world.
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Java SE: A Youthful Maturity
Danny Coward talks on how Oracle intends to maintain Java in the front line by investing in two features that are trendy today: support for multiple JVM languages and parallel programming.
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Perception and Action: An Introduction to Clojure's Time Model
Stuart Halloway discusses how we use a total control time model, proposing a different one that represents the world more accurately helping to solve some of the concurrency and parallelism problems.
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Actor Thinking
Dale Schumacher explains the actor concept and how it helps us build a computational model resembling the reality around us more accurately than the object-oriented model.