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I'm replacing the JIT system in Brian (a neural simulator) as part of GSoC 2025! Deep-diving into Python internals, C++ integration, and performance hacks. If you're into compilers or open-source science tools—stay tuned, it's gonna be fun! 🚀
Recap: Cython, Code Generation, and the SpikeQueue Bottleneck Last time, we dug into how code generation works in Brian2, and we ended by looking at the spikeQueue case — a great example of where Cython introduces significant overhead and complexity....
Part 3 of the Brian2 Performance Optimization Series In our previous episode, we conquered the SpikeQueue bottleneck by eliminating Python overhead with PyCapsules.Today, we're tackling an even bigger challenge: Dynamic Arrays — the data structures t...
I thought I understood the compilation problem in Brian2 until I realized that every "obvious" solution - manual C extensions, direct g++ calls, even fancy build systems - all fell into the same fundamental trap. They were trying to solve a dynamic r...
So as discussed in our previous blog , we concluded that our entire approach to performance was trapped by traditional Ahead-of-Time (AOT) thinking. It became clear that no matter how much we optimized our existing pipeline, we were fighting the fund...
