InfoQ Homepage Runtimes Content on InfoQ
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Multicore Programming in Erlang
Ulf Wiger shows typical Erlang programs, patterns that scale well on multicore and patterns that don't, profiling and debugging parallel applications and ensuring correct behaviour with QuickCheck.
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Erlang Concurrency, What’s The Fuss?
Erlang is built on 3 components: language, OTP, and VM. Francesco Cesarini explains the role played by each component in order to ensure Erlang’s highly successful concurrency model.
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Writing DSLs in Groovy
After a short introduction to DSLs, Scott Davis plays with the keyboard showing how to approach the creation of a DSL by typing working snippets of Groovy code that get executed.
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Evolving the Java Platform
Ola Bini talks about the current status of the JVM regarding languages running on top of it and the need to evolve in order to support dynamic languages.
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Ruby VMs: A Comparison
A look at the different Ruby virtual machines (JRuby, MagLev, IronRuby, Rubinius, MacRuby) and how to choose what fits best within the enterprise.
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Language Parity: Closures and the JVM
Neal Gafter discusses closures on the JVM, running other languages on the JVM, language-specific wrapper libraries, making the JVM more language-friendly, and whether lambda expressions are too hard.
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Project Fortress: Run your whiteboard, in parallel, on the JVM
David Chase discusses Fortress, a Fortran-based HPC programming language. Topics include Fortress origins, running on the JVM, work stealing, transactions, continuations and the type system
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JRuby: The Pain of Bringing an Off-Platform Dynamic Language to the JVM
Charles Nutter discusses bringing JRuby to the JVM, why Ruby is hard to implement, JIT compilation, precompilation, core Ruby implementation, Java library access, library challenges and future plans.
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VM Optimizations for Language Designers
John Pampuch discusses the HotSpot compiler, the history of Java performance, HotSpot development philosophies and challenges, optimization, JVM library improvements, and tips for better performance.
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Fast Bytecodes for Funny Languages
Cliff Click discusses how to optimize generated bytecode for running on the JVM. Click analyzes and reports on several JVM languages and shows several places where they could increase performance.
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Clojure
Rich Hickey discusses Clojure features and syntax, example code, functional programming, concurrency semantics, transactions, software transactional memory, agents, implementation and pain points.
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The Maxine VM
Bernd Mathiske discusses Maxine VM, Java compatibility, swapping major VM components, research areas, Object handling, code examples, optimizing compiler, snippets, bytecode generation, JNI and JIT.