Planet Python
Follow
Antonio Cuni: Improving Memory Behaviour to Make Self-Hosted PyPy Translations Practical
!!! note "" Originally published on the PyPy blog.
In our previous blog post, we talked about how fast PyPy can translateitself compared to CPython. However, the price to pay for the 2x speedup wasan huge amount of memory: actually, it was so huge that a standard -Ojitcompilation could not be completed on 32-bit because it required more than the4 GB of RAM that are addressable on that platform. On 64-bit, it consumed8.3 GB of RAM instead of the 2.3 GB needed by CPython.