What are some practical problems that parallel computing, f#, and GPU-parallel processing might solve
-
03-07-2019 - |
Question
Recently WiFi encryption was brute forced by using the parellel processing power of the modern GPU. What other real-life problems do you think will benefit from similar techniques?
Solution
- Computational fluid dynamics
- Physics processing
- Ray tracing
- Data mining
- Medical imaging
- Control engineering software
- Digital signal processing
- Bioinformatics
In fact, check out this page for a lot more examples of where GPGPU has been used.
To name a few.
OTHER TIPS
Image processing which is just fancier signal processing which is massively parallel math.
given that, perhaps face recognition, voice recognition, video decode/encode, audio decode/encode, encryption/decryption
Most batch-processing tasks can be parallised and are well suited to the stream processors in GPUs. Folding. Seti. All those gubbins are already working well on GPUs.
Licensed under: CC-BY-SA with attribution
Not affiliated with StackOverflow