InfoQ Homepage Concurrency Content on InfoQ
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Our Concurrent Past; Our Distributed Future
Joe Duffy talks about the concurrency's explosion onto the mainstream over the past 15 years and attempts to predict what lies ahead for distributed programming, from now til 15 years into the future.
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Looking inside a Race Detector
Kavya Joshi discusses the internals of the Go race detector and delves into the compiler instrumentation of the program, and the runtime module that detects data races.
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Understanding Hardware Transactional Memory
Gil Tene talks about new speculative and optimistic locking mechanisms enabled by HTM (Hardware Transactional Memory), HTM's benefits and limitations, speculating on its future impact on concurrency.
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The Quest for Low-latency with Concurrent Java
Martin Thompson focuses on algorithms which provide very high throughput while keeping latency low and predictable, discussing the concurrency theory and implementing these algorithms in Java 8.
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Gpars: Concurrency in Java & Groovy
Ken Kousen reviews the basic concepts of the Groovy Parallel Streams framework and demonstrates communicating sequential processes, promises, dataflow concurrency and concurrent collection processing.
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Groovy: The Awesome Parts
Paul King presents examples of Groovy and its application: DSL, dynamic typing, extensible static type system, Android programming, concurrency, functional, frameworks and tools.
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A Pragmatic Introduction to Multicore Synchronization
Samy Bahra discusses high performance multicore synchronization, scalability bottlenecks in multicore systems and memory models, and scalable locking and lock-less synchronization.
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Concurrency Options on the JVM
Jessica Kerr covers some of the concurrency tools existing in JVM languages including ExecutorService, Futures, Akka actors, and core.async coroutines, providing advice on writing deadlock-free code.
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Maximizing Throughput on Multicore Systems
Irina Guberman discusses maximizing throughput on multicore systems with Erlang and the Jobs framework by Ulf Wiger.
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Scaling Distributed Systems
Natalia Chechina outlines features of actor and functional programming models, and the reason these models attract so much interest in parallel, concurrent, and scaling world.
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Evolving Projects to Concurrency with Wrangler
Simon Thompson shows how Wrangler can help with making systems run on multi-core hardware, including three Wrangler refactoring techniques for retrofitting concurrency to Erlang applications.
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Atomic Counters or a Lesson on Performance and Hardware Concurrency
Detlef Vollmann explores the performance and scalability issues of atomic
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