JVM JIT optimization techniques
This article is part of a series on JVM JIT optimization techniques JVM JIT optimization techniques JVM JIT optimization techniques - part 2 Profile-based optimization techniques in the JVM There's a lot of buzz about JVM optimizations and how it makes production code perform better thanks to the Just-In-Time (JIT) compilation and various optimization techniques. A lots of excellent research mater
FTL: WebKit’s LLVM based JIT
Over the past year, the WebKit project made tremendous progress on the ability to optimize JavaScript applications. A major part of that effort was the introduction of the Fourth Tier LLVM (FTL) JIT. The Fourth Tier JIT targets long-running JavaScript content and performs a level of optimization beyond WebKit's interpreter, baseline JIT, and high-level optimizing JIT. See the FTL Optimization Stra
Introducing the WebKit FTL JIT
WebKit’s FTL JIT (Faster Than Light Just In Time compiler) has switched to a new backend — Bare Bones Backend (B3) replaces LLVM as the low-level optimizer in the FTL JIT. Just a decade ago, JavaScript – the programming language used to drive web page interactions – was thought to be too slow for serious application development. But thanks to continuous optimization efforts, it’s now possible to w
Intel Software Network Blogs » Parallel Programming Talk #55 - Daniel Moth on Microsoft Visual Studio 2010
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