Thank you, Abhishek.
I observed an unexpected behavior while fast forwarding. I fast forwarded
the simulation for 1 billion instructions and then simulated for 100
million instructions (using -I). However, in the stats.txt, total simulated
instructions are approx 2 billions (because 2 benchmarks are running) and
simulated instruction for every cpu and switch_cpus is 0. Do you have any
idea why is this happening?

Just in case if it is important, I used the following command:
build/X86/gem5.opt configs/example/se.py
--cmd="/home/sakshi/benchmarks/ben/mcf_base.amd64-m64-gcc43-nn;/home/sakshi/benchmarks/ben/mcf_base.amd64-m64-gcc43-nn"
--options="/home/sakshi/benchmarks/ben/inp.in;/home/sakshi/benchmarks/ben/
inp.in" --cpu-type=DerivO3CPU --l1d_size=32kB --l1i_size=32kB
--l2_size=256kB --caches --l2cache --l3cache --l3_size=8MB --num-cpus=2
--mem-size=8192MB --fast-forward=1000000000 -I 100000000

On Wed, Aug 22, 2018 at 6:53 PM Abhishek Singh <
[email protected]> wrote:

> You can also use simpoints else just fast forward the start up instruction
> and run for some instruction using -I
>
> On Wed, Aug 22, 2018 at 8:54 AM Sakshi Tiwari <[email protected]>
> wrote:
>
>> Can someone please reply to the query above? It will be really helpful.
>>
>> Regards,
>> Sakshi
>>
>>
>> On Fri, Aug 10, 2018 at 12:53 AM Sakshi Tiwari <[email protected]>
>> wrote:
>>
>>> Hi,
>>>
>>> I am running gem5 in se mode and I am using SPEC2006 test suite for my
>>> experiments. To run the representative section of each of the SPEC
>>> benchmark I created simpoints. I have a few questions now:
>>>
>>> 1) Is it necessary to create checkpoints? Or is there any other way to
>>> simply fast forward the simulation on a multi-core system?
>>>
>>> 2) If it is necessary to create checkpoints then can someone please
>>> confirm if the following commands are correct. I am able to follow step (a)
>>> and (b) but most of the SPEC benchmarks are failing when I run step (c).
>>>  (a) Create checkpoint for each of the simpoint:
>>> build/X86/gem5.opt configs/example/se.py
>>> --take-simpoint-checkpoint=m5out/simpoints/libq/libq.simpoint,m5out/simpoints/libq/libq.weight,3000000,10000000
>>> --cmd="benchmarks/ben/libquantum_base.amd64-m64-gcc43-nn" --options="1397
>>> 8" --cpu-type=DerivO3CPU --l1d_size=32kB --l1i_size=32kB --l2_size=256kB
>>> --caches --l2cache --l3cache --l3_size=8MB --num-cpus=1 --mem-size=8192MB
>>> (b) Run checkpoint_aggregator script to aggregate the checkpoints which
>>> would run on 4 different cores (I am running the same checkpoint on all the
>>> 4 cores):
>>> python util/checkpoint_aggregator.py -o
>>> /home/sakshi/workspace2/gem5-63325e5b0a9d-modified/m5out/libq_cpt/cpt.None.4
>>> -c --cpts
>>> /home/sakshi/workspace2/gem5-63325e5b0a9d-modified/m5out/libq_cpt/cpt.simpoint_03_inst_1100000000_weight_0.069900_interval_3000000_warmup_10000000/
>>> /home/sakshi/workspace2/gem5-63325e5b0a9d-modified/m5out/libq_cpt/cpt.simpoint_03_inst_1100000000_weight_0.069900_interval_3000000_warmup_10000000/
>>> /home/sakshi/workspace2/gem5-63325e5b0a9d-modified/m5out/libq_cpt/cpt.simpoint_03_inst_1100000000_weight_0.069900_interval_3000000_warmup_10000000/
>>> /home/sakshi/workspace2/gem5-63325e5b0a9d-modified/m5out/libq_cpt/cpt.simpoint_03_inst_1100000000_weight_0.069900_interval_3000000_warmup_10000000/
>>> --memory-size 8589934592
>>> (c) Run the simulation in atomic mode and restore it to the normal mode
>>> (i.e. Timing+O3) from the aggregated checkpoint:
>>> build/X86/gem5.opt configs/example/se.py --at-instruction
>>> --checkpoint-restore=4 --restore-with-cpu=detailed --checkpoint-dir
>>> /home/sakshi/workspace2/gem5-63325e5b0a9d-modified/m5out/libq_cpt/
>>> --cmd="benchmarks/ben/libquantum_base.amd64-m64-gcc43-nn;benchmarks/ben/libquantum_base.amd64-m64-gcc43-nn;benchmarks/ben/libquantum_base.amd64-m64-gcc43-nn;benchmarks/ben/libquantum_base.amd64-m64-gcc43-nn"
>>> --options="1397 8;1397 8;1397 8;1397 8" --cpu-type=DerivO3CPU
>>> --l1d_size=32kB --l1i_size=32kB --l2_size=256kB --caches --l2cache
>>> --l3cache --l3_size=8MB --num-cpus=4 --mem-size=8192MB -I 100000000
>>>
>>> Regards,
>>> Sakshi
>>>
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