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51:22

Practicing at the Cutting Edge: Learning and Unlearning about Performance

Posted by Martin Thompson  on  Jul 27, 2014

Martin Thompson discusses the major steps in the evolution of Java and how it contrasts to alternative technologies, and the challenges of pushing the limits of performance.

37:17

JS Optimization Techniques

Posted by Guillaume Lathoud  on  Jun 19, 2014

Guillaume Lathoud suggests expanding JavaScript with mutual tail-call optimization, map/filter/reduce and math computations to obtain faster code.

34:02

New Optimizations of Google Chrome's V8

Posted by Ben Titzer  on  May 30, 2014

Ben Titzer presents the latest optimizations of the Chrome V8 engine: reducing pause times through asynchrony and incrementalism, and JIT compiler optimizations targeting all JavaScript programs.

52:09

One Small Step for Consumers, One Giant Lead for Enterprise

Posted by Tom Levey  on  May 15, 2014

In this solutions track talk, sponsored by AppDynamics, Tom Levey discusses how to effectively monitor the end user experience and identify performance bottlenecks, and measuring the real-time revenue impact, by turning on the lights inside a mobile app.

41:23

Enabling Java in Latency Sensitive Environments

Posted by Gil Tene  on  Feb 18, 2014

Gil Tene examines the core issues that have historically kept Java environments from performing well in low latency environments and how it can perform now without trade-offs and compromises.

47:39

Java Marshalling: A Performance Approach

Posted by Todd Montgomery  on  Feb 05, 2014

Todd Montgomery proposes a new approach to marshalling in Java using FIX/SBE, new marshalling API approaches, and the extensive application of mechanical sympathy to this problem domain.

33:57

Functional Vectors, Maps, and Sets in Julia

Posted by Zach Allaun  on  Jan 31, 2014 1

Zach Allaun shows how to build a functional and persistent vector, hash map, and set on top of the same data structure, and how to optimize the code for performance.

49:45

Top 10 - Performance Folklore

Posted by Martin Thompson  on  Jan 29, 2014 3

Martin Thompson discusses Java, concurrency, operating systems, and functional programming in the context of designing and testing high-performance systems.

48:44

Practicing at the Cutting Edge: Learning and Unlearning about Java Performance

Posted by Martin Thompson  on  Jan 21, 2014

Martin Thompson overviews Java's evolution, comparing it with C++'s, discussing the challenges of pushing the performance limits.

35:52

Fast and Dynamic

Posted by Maxime Chevalier-Boisvert  on  Dec 09, 2013

Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.

36:01

Why Ruby Isn't Slow

Posted by Alex Gaynor  on  Dec 04, 2013

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.

43:38

The Unreasonable Effectiveness of Tuning

Posted by Keith Adams  on  Nov 27, 2013

Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.

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