On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
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Apache Storm, Disruptor, JCTools and Linearizability
MP3•Episode home
Manage episode 479385462 series 2469611
Content provided by Adam Bien. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Bien or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
An airhacks.fm conversation with Francesco Nigro (@forked_franz) about:
…
continue reading
JCTools as a Java concurrency utility library created by Nitsan Wakart, the history of JCTools and how Cliff Click donated his non-blocking HashMap algorithm to the project, contributions to JCTools including weight-free queue implementations, Apache Storm vs. Apache Kafka, explanation of how JCTools improves upon Java's standard concurrent queues by reducing garbage creation and optimizing memory layout, the difference between linked node implementations in standard Java collections versus array-based implementations in JCTools, detailed explanation of linearizability as a property of concurrent algorithms, the challenges of implementing concurrent data structures that maintain proper ordering guarantees, explanation of lock-free versus wait-free algorithms and their progress guarantees, discussion of the xadd instruction in x86 processors and how it's used in JCTools for atomic operations, the implementation of MessagePassingQueue API in JCTools that provides relaxed guarantees for better performance, comparison between JCTools and other solutions like Disruptor, explanation of how JCTools achieves 400 million operations per second in single-producer single-consumer scenarios, discussion of cooperative algorithms for multi-producer scenarios, the use of padding to avoid false sharing in concurrent data structures, the implementation of code generation in JCTools to create different flavors of queues, the use of Unsafe and AtomicLongFieldUpdater for low-level operations, real-world applications in high-frequency trading and medical data processing, integration of JCTools with quarkus and mutiny frameworks, the importance of proper memory layout for performance
Francesco Nigro on twitter: @forked_franz
344 episodes
MP3•Episode home
Manage episode 479385462 series 2469611
Content provided by Adam Bien. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Bien or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
An airhacks.fm conversation with Francesco Nigro (@forked_franz) about:
…
continue reading
JCTools as a Java concurrency utility library created by Nitsan Wakart, the history of JCTools and how Cliff Click donated his non-blocking HashMap algorithm to the project, contributions to JCTools including weight-free queue implementations, Apache Storm vs. Apache Kafka, explanation of how JCTools improves upon Java's standard concurrent queues by reducing garbage creation and optimizing memory layout, the difference between linked node implementations in standard Java collections versus array-based implementations in JCTools, detailed explanation of linearizability as a property of concurrent algorithms, the challenges of implementing concurrent data structures that maintain proper ordering guarantees, explanation of lock-free versus wait-free algorithms and their progress guarantees, discussion of the xadd instruction in x86 processors and how it's used in JCTools for atomic operations, the implementation of MessagePassingQueue API in JCTools that provides relaxed guarantees for better performance, comparison between JCTools and other solutions like Disruptor, explanation of how JCTools achieves 400 million operations per second in single-producer single-consumer scenarios, discussion of cooperative algorithms for multi-producer scenarios, the use of padding to avoid false sharing in concurrent data structures, the implementation of code generation in JCTools to create different flavors of queues, the use of Unsafe and AtomicLongFieldUpdater for low-level operations, real-world applications in high-frequency trading and medical data processing, integration of JCTools with quarkus and mutiny frameworks, the importance of proper memory layout for performance
Francesco Nigro on twitter: @forked_franz
344 episodes
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