You might want to consider optimizing your memory usage. In time
series data, usually it is best not to keep objects in those arrays
but rather structs. The time serie itself can be an object but keeping
large arrays of small objects is very bad performance wise: you waste
memory due to the interna
With this specific application, (which is single threaded), I have a "volatile"
working set of ~2GB . By volatile I mean that these are not application
lifetime objects, rather will be disposed at some point during evaluation.
More specifically, I read 1.6TB of data incrementally into 1600 ti
There are two situations that make sgen slower than boehm.
The first is a non-generational workload. If your survivor rate is too
high, a generational collector
can't compete with single space one like boehm.
The second one is if you have too much of the old generation pointing to
young objects c
HI,
sgen is now working for me (thanks to a subtle bug fix for thread-local-storage
by Zoltan). However, for one application, sgen is 25% slower than the same
with the boehm collector. I am processing some GBs of timeseries data, though
only evaluating a window at a time. As the window re
