InfoQ Homepage GarbageCollection Content on InfoQ
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Gil Tene on Understanding Latency
Gil Tene explains latency and how it relates to service and response times, measuring latency, common misconceptions about latency, what to do when a system's latency can't meet SLAs, and much more.
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Monica Beckwith on Tuning and Optimizing Java Garbage Collection
Performance engineer Monica Beckwith covers tuning java garbage collection, including: defining customer requirements; methodology; baselining and measurement; strengths and weaknesses of the different collectors; heap usage; causes of GC pauses; the distribution of pauses; tuning pause characteristics; going off-heap to avoid collection; scaling GC on multi-core and high memory machines.
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Sylvan Clebsch on the Actor-Model Language Pony, Garbage Collection, Capabilities, Concurrency
Sylvan Clebsch introduces Pony, a language built on the actor model which combines new approaches to garbage collection and concepts like capabilities to write high performance, concurrent code.
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Rick Hudson on Garbage Collection in Go
Rick Hudson talks to Charles Humble about the evolution of Go’s garbage collector, comparing 1.5 to the forthcoming 1.6 release, and also touching on plans for 1.7.
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Andrew Sorensen on Real Time Programming, Live Coding Music, Memory Management
Andrew Sorensen explains live music coding with Extempore, the challenges of real time programming, garbage collection, static analysis to determine real time code meets its deadlines, hotswapping code, and much more.
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Todd Montgomery on the Reality of IoT, Protocols, Nuklei
Todd Montgomery talks about the Internet of Things: what it is and is not, looking at languages and protocols that will be useful, concurrency, manual memory management vs GC, and much more. Also: Kaazing's Nuklei project.
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Felix Klock II on Rust: Concurrency, GCs, Type System
Felix Klock II explains concepts of the Rust language: the concurrency model, the type system, allocation and ownership models, the macro system, its style of FP and OOP, and much more.
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Francesco Cesarini and Viktor Klang on the Reactive Manifesto
Francesco Cesarini and Viktor Klang explain the motivation behind the Reactive Manifesto and what exactly it brings to the table. Also: what Erlang and Scala/Akka can learn from each other.
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Cliff Click on In-Memory Processing, 0xdata H20, Efficient Low Latency Java and GCs
Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
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Keith Adams on PHP at Facebook, Efficient PHP with HHVM, Optional Typing with Hack
Keith Adams explains how/where/why Facebook uses PHP, PHP's benefits (lack of state/programmer workflow/concurrency), efficient PHP with HHVM, the Hack project for optional typing PHP and much more.
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Eva Andreasson on Hadoop, the Hadoop Ecosystem, Impala
Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.
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Laurent Sansonetti on Writing Ruby Apps for iOS with RubyMotion
Laurent Sansonetti explains using Ruby for iOS development with RubyMotion, how Garbage Collection works in RubyMotion, the library ecosystem, the state of debugging and profiling, and much more.
