Why Julia’s GPU Accelerated ODE Solvers are 20x-100x Faster than Jax and PyTorch
January 11 2026 in Differential Equations, Julia, Mathematics, Programming | Tags: gpu, julia, python | Author: Christopher Rackauckas
You may have seen the benchmark results and thought, “how the heck are the Julia ODE solvers on GPUs orders of magnitude faster than the GPU-accelerated Python libraries, that can’t be true?” In this talk I will go into detail about the architectural differences between the Julia approaches to generating GPU-accelerated solvers vs the standard ML library approach to GPU usage. By the end of the talk you’ll have a good enough understanding of models of GPU acceleration to understand why this performance difference exists, and the many applications that can take advantage of this performance improvement.
ChatGPT performs better on Julia than Python (and R) for Large Language Model (LLM) Code Generation. Why?
November 19 2023 in Julia, Programming | Tags: ai, artificial intelligence, chatgpt, julia, large language models, llm, machine learning, MATLAB, python, r | Author: Christopher Rackauckas
Machine learning is all about examples. The more data you have, the better it should perform, right? With the rise of ChatGPT and Large Language Models (LLMs) as a code helping tool, it was thus just an assumption that the most popular languages like Python would likely be the best for LLMs. But because of the increased productivity, I tend to use a lot of Julia, a language with an estimated user-base of around a million programmers. For this reason, people have often asked me how it fairs with ChatGPT, Github Copilot, etc., and so I checked out those pieces and… was stunned. It’s really good. It seemed better than Python actually?
The data is in: Julia does well with ChatGPT
This question was recently put to the test by a researcher named Alessio Buscemi in A Comparative Study … READ MORE