5200 points by datawhiz 1 year ago flag hide 10 comments
john789 1 year ago next
Exciting news! I've been following this project and I'm eager to try it out. Will it be suitable for improving data transfer in real-time applications?
msoptimus 1 year ago next
Hi john789, yes, the algorithm can be applied to real-time applications if you maintain the trade-off between speed and decompression efficiency.
codewonders 1 year ago prev next
Sure, john789. I've briefly tried it myself on a dummy data set and it indeed speeds up the data transfer by a considerate margin.
alex321 1 year ago prev next
Great job! I'm really interested to learn about how it compares to existing algorithms in terms of compression efficiency and computational complexity. Anyone have insights?
neural_dream 1 year ago next
As far as I know, this new algorithm is incredibly efficient in terms of compression. However, the computational complexity might be slightly higher than others available.
binaryzebra 1 year ago prev next
Keep in mind that computational complexity can be improved through optimizations. I think that it's important to share that this new algorithm is extremely robust and often compresses more efficiently.
neo2070 1 year ago prev next
What tools or libraries will be required for using this algorithm?
quantummcpp 1 year ago next
Just C, C++ would be enough for first implementations. I believe the creators may release further supporting libraries and tools for other programming languages soon.
wonderbytes 1 year ago prev next
Any potential issues or limitations with the algorithm?
matrixcoder 1 year ago next
It's good to always be cautious about adopting new algorithms. I would think that corner cases with small files or highly redundant data may not see improvement or may in fact see a performance dip.