Jonathan Diegelman - Modeling Spacecraft Separation Dynamics in Julia
推荐理由
From Simulink to Julia, his code went from 1000 lines to 50 lines and ran 15,000x faster.
说明
这是2021年由The Julia Programming Language发布的一部演讲,主题归在Data science & statistics。它讲的是scientific computing in julia这一支里的具体问题,而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成:A JuliaCon talk by a NASA Launch Services Program engineer on modeling spacecraft separation dynamics in Julia. He describes replacing a Simulink-based workflow for checking launch vehicle separation requirements with Julia and ModelingToolkit, with large speedups and much shorter code.这些读者给出的理由,核心是:Cited again and again as the concrete case study behind the claim that NASA got a 15,000x speedup moving from Simulink to Julia.讲法不绑某一条新闻,过几年仍然可以当材料看。从2021年到2023年,有2位不同的读者在2个不同月份把它推荐出来,其中明确叫别人去看的有0次。适合一次性看完。讲者把一个判断讲透,演示是在给这个判断配例子。如果已经会了基本定义,就把注意力放在它怎么把scientific computing in julia变成能跟着复述的例子。
视频信息
- 频道
- The Julia Programming Language
- 时长
- 16 分 4 秒
- 发布年份
- 2021
同主题更多
- A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
- DON'T PANIC — Hans Rosling showing the facts about population
- Is Most Published Research Wrong?
- How not to be ignorant about the world | Hans and Ola Rosling
- I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
- VisiData Lightning Demo at PyCascades 2018