Dear All,
I want to measure dynamic energy of L2 cache for multi-core
simulations. For this purpose, i measure stats from gem5 like # of hits, #
of misses and # of writebacks.
As, multi-core simulation in gem5 terminates, as soon as, any workload
reaches maximum count. Therefore, while
Dear Avais,
I think running workloads fairly is very important in multi-core
experiments, because the number of executed instructions of each core can
be changed depend on each experimental configuration.
There is a prior work how to experiment fairly on multi-core system; A.
Hilton et al., "FIEST
Dear Haeyoon Cho.,
I am really thankful to you for this help. Actually, i am not very good in
modifying gem5 and this code will be very helpful for me.
I have one more question, is it good idea to normalize the stats with
number of instructions simulated to calculate energy or other things? Does
Dear Avais,
I think it is reasonable to normalize with the numbers of executed
instructions, but it still is a weakness that the running sections of
benchmarks are not same totally.
In my case, it was my best to exit the simulation by the total numbers of
executed instructions.
But if you can appl
Dear Haeyoon,
Many thanks for your help and guidance. I will try to apply
first scheme suggested by you in previous email.
Best Regards,
Avais
On Mon, May 28, 2018 at 1:18 PM, 조해윤 wrote:
> Dear Avais,
>
> I think it is reasonable to normalize with the numbers of executed
> instru
