Vladimir Makarov's contributions
Article
An MIR-based JIT prototype for Ruby
Get insights for improving JIT (just-in-time) compiler performance for Ruby based on a GCC engineer's experience developing an MIR-based JIT prototype.
Article
How I developed a faster Ruby interpreter
Learn about 8 optimization techniques for a faster interpreter in Ruby which I developed using a dynamically specialized internal representation (IR).
Article
Code specialization for the MIR lightweight JIT compiler
Learn about a code specialization technique that creates a universal, lightweight JIT (Just-in-Time) compiler to generate machine code for the MIR project.
Article
The MIR C interpreter and Just-in-Time (JIT) compiler
Find out how the MIR project's C JIT compiler and interpreter compares to other C compilers for generated code and compilation speed.
Article
MIR: A lightweight JIT compiler project
Take an in-depth look at the MIR lightweight JIT compiler project's goals and state of development, such as the addition of support for CRuby.
Article
Register Transfer Language for CRuby
This post shows the advantages and disadvantages of using register transfer language (RTL) for CRuby, and it compares the performance of RTL CRuby with that of trunk CRuby.
Article
Towards The Ruby 3x3 Performance Goal
This blog post is about my work to improve CRuby performance by introducing new virtual machine instructions and a JIT. It is loosely based on my presentation at RubyKaigi 2017 in Hiroshima, Japan. Version 3 of Ruby should be 3 times faster than version 2.
Article
Towards Faster Ruby Hash Tables
Hash tables are an important part of dynamic programming languages. They are widely used because of their flexibility, and their performance is important for the overall performance of numerous programs. Ruby is not an exception. In brief, Ruby hash tables provide the following API: insert an element with given key if it is not yet on the table or update the element value if it is on the table delete an element with given key from the table get the...
An MIR-based JIT prototype for Ruby
Get insights for improving JIT (just-in-time) compiler performance for Ruby based on a GCC engineer's experience developing an MIR-based JIT prototype.
How I developed a faster Ruby interpreter
Learn about 8 optimization techniques for a faster interpreter in Ruby which I developed using a dynamically specialized internal representation (IR).
Code specialization for the MIR lightweight JIT compiler
Learn about a code specialization technique that creates a universal, lightweight JIT (Just-in-Time) compiler to generate machine code for the MIR project.
The MIR C interpreter and Just-in-Time (JIT) compiler
Find out how the MIR project's C JIT compiler and interpreter compares to other C compilers for generated code and compilation speed.
MIR: A lightweight JIT compiler project
Take an in-depth look at the MIR lightweight JIT compiler project's goals and state of development, such as the addition of support for CRuby.
Register Transfer Language for CRuby
This post shows the advantages and disadvantages of using register transfer language (RTL) for CRuby, and it compares the performance of RTL CRuby with that of trunk CRuby.
Towards The Ruby 3x3 Performance Goal
This blog post is about my work to improve CRuby performance by introducing new virtual machine instructions and a JIT. It is loosely based on my presentation at RubyKaigi 2017 in Hiroshima, Japan. Version 3 of Ruby should be 3 times faster than version 2.
Towards Faster Ruby Hash Tables
