InfoQ Homepage Strange Loop 2013 Content on InfoQ
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Graph Computing at Scale
Matthias Broecheler discusses graph computing, introducing the Aurelius graph cluster enabling graph computing at scale by building on distributed systems like Cassandra, HBase, and Hadoop.
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Programming a 144-computer Chip to Minimize Power
Chuck Moore discusses coding techniques for power savings: tight coding to minimize the number of instructions executed, reducing instruction fetches, transistor switching, and duty cycle.
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What Is a Strange Loop and What Is It Like to Be One?
Douglas Hofstadter attempts to get across the crux of these intuitions about the mysterious concept of "I".
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Babel: An Untyped, Stack-based HLL
Clayton Bauman introduces Babel, an open source language implemented in C, targeted for cloud computing. Other features: interpreted, untyped stack-based, postfix, supports arrays, lists and hashes.
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Real-World Datomic: An Experience Report
Craig Andera explains Datomic from the perspective gained in implementing and optimizing a real-world production system, detailing the Datomic indexing process.
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Tracking Millions of Ganks in Near Real Time
Garrett Eardley explores how Riot Games is using Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.
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Fast and Dynamic
Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
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Why Ruby Isn't Slow
Alex Gaynor explains how he solved the usual Ruby VM speed problems with Topaz, a high performance VM built on the same technologies that power PyPy.
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Scala vs Idris: Dependent Types, Now and in the Future
Miles Sabin and Edwin Brady exemplify what can be done with a language with dependent types, what are the limitations and what could be done in the future when dependent types reach maturity.
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Raft - The Understandable Distributed Protocol
Ben Johnson discusses the Raft protocol and how it works. Raft is a consensus distributed protocol.
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Simplifying Asynchronous Code With Scala Async
Philipp Haller introduces Scala Async for asynchronous I/O with Futures and Promises.
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Curing Your Event Processing Blues with Rx
Donna Malayeri and Matthew Podwysocki discuss the JavaScript and .NET versions of Rx, as well as projects such as Rx.rb and RxCpp.
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