Yet it’s a fine baseline. The actual speedup for switching to rust was 8x, the rest was all about changing data structures, using SIMD, parallelism and batching.
I think it’s a great baseline. Within academic context, Python (and perhaps Matlab) are extremely common for data analysis. I doubt many would transition code to other languages unless strictly needed such as the case in the article. Showing how to “simply” speed up code like the article does is a great way to snag speed even if you don’t analyze timing, and just replicate steps from this article.
Having done stuff myself as part of research, and having people I know go from developer jobs to research jobs, I can safely say scientists generally do not make good code. Regardless of language. An article like this gives good steps to take from start to end, and would be a valuable tool in a possible transition to better code.
Yet it’s a fine baseline. The actual speedup for switching to rust was 8x, the rest was all about changing data structures, using SIMD, parallelism and batching.
I think it’s a great baseline. Within academic context, Python (and perhaps Matlab) are extremely common for data analysis. I doubt many would transition code to other languages unless strictly needed such as the case in the article. Showing how to “simply” speed up code like the article does is a great way to snag speed even if you don’t analyze timing, and just replicate steps from this article.
Having done stuff myself as part of research, and having people I know go from developer jobs to research jobs, I can safely say scientists generally do not make good code. Regardless of language. An article like this gives good steps to take from start to end, and would be a valuable tool in a possible transition to better code.