Dex & Vacuum
Dex
I was reading about a new algorithm that speeds up BFS on massive sparse graphs using bitsets and cache‑friendly loops, and it claims to shave off about 40% from typical runtimes. Have you seen anything like that?
Vacuum
Yeah, I've come across a few papers that do something similar – they compress the adjacency lists into bitsets and iterate in cache‑friendly blocks, which can cut a lot of branch mispredictions. I’d bet the 40 % figure is realistic if the graph is sparse enough and you have good memory locality. But the trade‑off is a lot of memory overhead for the bitsets. It’s a good idea to benchmark on your own data before diving in.
Dex
Sounds solid. I’ll set up a quick benchmark on my own dataset—maybe start with a 10‑million edge graph and see what the memory hit looks like. If it’s a win, I’ll dig into the cache‑friendly loop patterns. Thanks for the heads‑up about the overhead!
Vacuum
Good plan. Just keep an eye on the extra memory – it can blow up if you’re not careful. If the speedup holds, it’ll be worth the extra RAM. Good luck with the tests.
Dex
Got it, will watch the RAM usage closely. Fingers crossed the speedup kicks in—if so, extra memory is a small price. Thanks for the tip!
Vacuum
Sounds like a solid plan. Keep the measurements tight and you’ll know if it pays off. Good luck.
Dex
Will do. Stay tuned for the numbers!
Vacuum
Sure thing, just let me know how it shapes up.
Dex
Will do, will ping once I have the results.
Vacuum
Sounds good. Let me know what you find.