InfoQ Homepage Virtual Machines Content on InfoQ
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Exploring Dynamism
Allison Randal discusses what dynamic means, the static/dynamic spectrum, dynamic typing, dynamic dispatch, introspection, dynamic compilation and loading, and differences between static and dynamic.
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A Crash Course in Modern Hardware
Cliff Click discusses the Von Neumann architecture, CISC vs RISC, Instruction-Level Parallelism, pipelining, out-of-order dispatch, cache misses, memory performance, and tips to improve performance.
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Pragmatic Real-World Scala
Jonas Bonér talks about Scala showing the benefits of OO, the type system, closures, high-order functions, immutability, Actors, then using ORM, AOP, DI and Testing with Scala.
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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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