Bookmarks
Too Fast, Too Megamorphic: what influences method call performance in Java?
The performance of method calls in Java can be improved through techniques like inlining and using inline caches. Monomorphic calls, where only one method can be invoked, are the fastest, while bimorphic and megamorphic calls are slower due to increased lookup costs. The study highlights that simply adding the "final" keyword or overriding methods does not significantly enhance performance.
The Black Magic of (Java) Method Dispatch
The content shows code execution percentages for different operations within a program. It includes instructions for handling different coders, with comparisons and jumps based on coder values. The code includes sections like the main entry point, epilogue, handling other coders, and specific coder cases like Coder1 and Coder2.
A new JIT engine for PHP-8.4/9
A new JIT engine for PHP is being developed, improving performance and simplifying development. The engine will be included in the next major PHP version, potentially PHP 9.0. The new JIT engine generates a single Intermediate Representation (IR), eliminating the need to support assembler code for different CPUs.
Why is Python slow
Python's performance issues stem from spending most time in the C runtime, rather than the Python code itself. Pyston focuses on speeding up the C code to improve performance. Suggestions to improve Python's speed by using other JIT techniques overlook the fundamental issue of optimizing C code.
Subcategories
- applications (9)
- compression (9)
- computer_vision (8)
- deep_learning (94)
- ethics (2)
- generative_models (25)
- interpretability (17)
- natural_language_processing (24)
- optimization (7)
- recommendation (2)
- reinforcement_learning (11)
- supervised_learning (1)