● Covered by 1 source · 1 reportMedium impact1 neutral
yk Technology Automatically Adds JIT Compilers to Existing Language Implementations
Key points
- yk technology automatically adds JIT compilers to existing language VMs.
- A Lua Mandelbrot benchmark ran 4x faster with yk.
- MicroPython on the Fannkuch benchmark showed a 2x speedup.
- The technology is in early stages for MicroPython with limited development time.
Introducing yk for JIT Compilation
Laurence Tratt introduced yk, a new technology designed to automatically add just-in-time (JIT) compilers to existing language implementations. The primary goal is to improve the performance of dynamically typed languages and other language implementations that may not run optimally fast.
Performance Demonstration with Lua
A standard Lua VM running a Mandelbrot program took 3.2 seconds. When the same Lua VM was processed through yk technology, the execution time for the Mandelbrot program decreased to 0.8 seconds, representing a 4x speed improvement. Across a wider set of Lua benchmarks, the geometric mean speedup is approximately 2x.
Early Results with MicroPython
The yk technology is also being applied to MicroPython, a small Python VM. On the Fannkuch benchmark, a standard MicroPython implementation took 15 seconds. An early fork of MicroPython integrated with yk showed a 2x speedup. This MicroPython integration is in its initial stages, with less than 10 person-days of development invested so far.
Impact on Language Performance
The development of yk suggests a method for enhancing the execution speed of various programming languages without requiring extensive manual JIT compiler development for each implementation. This could lead to performance gains for scripting and dynamically typed languages, which are often slower than compiled languages.
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Reporting from
A new technology called yk has been developed to automatically integrate just-in-time (JIT) compilers into existing language implementations, particularly for dynamically typed languages. This technology demonstrates significant speed improvements, with a Lua benchmark showing a 4x speedup and MicroPython showing a 2x speedup.