.NET 10 Performance Edition
Highlights key performance improvements in .NET 10, including stack allocation optimizations and delegate escape analysis, with benchmark comparisons.
Highlights key performance improvements in .NET 10, including stack allocation optimizations and delegate escape analysis, with benchmark comparisons.
Explains the differences between C#, .NET, IL, and the JIT compiler, detailing their roles in the .NET development stack.
A guide to setting up and configuring the JIT compiler in PHP 8, including enabling opcache and understanding the complex configuration options.
A guide to building the hsdis disassembler library for OpenJDK 15 to analyze JIT compiler assembly output.
A guide to building the hsdis disassembler library for OpenJDK 15 to analyze JIT compiler assembly output.
Learn how to use Numba's @jit decorator to achieve massive speedups in Python code with minimal changes, demonstrated with a benchmark example.
A quick overview of PHP 8's major new features, including attributes, union types, JIT, and the match expression.
A guide on running PHP 8 with JIT compilation enabled using a custom Docker image, including performance testing.
A guide to compiling PHP 8 from source with JIT support, including dependencies and configuration steps for Ubuntu systems.
An analysis of PHP 8's JIT compiler, explaining how it works and its potential impact on performance in web and non-web contexts.
Explores the intricate, interdependent relationship between the .NET CLR (Common Language Runtime) and its JIT (Just-In-Time) compiler.
Explores how BenchmarkDotNet reveals JIT method inlining differences between x86 and x64 .NET runtimes, impacting performance.
Explains why PyPy's JIT compiler makes test suites slower than production code, and why tests are poor benchmarks for performance.
A guide exploring the immense challenges and technical steps required to create a high-performance Python implementation from scratch.
A recap of the PyPy team's San Francisco tour, including sprints at Noisebridge and tech talks at Google and Mozilla, focusing on performance improvements and compiler discussions.
Argues that PyPy, a Python interpreter written in Python, will replace CPython due to superior speed, flexibility, and being a better platform for growth.