- Linux
- GEM5 build env
- FS mode required binaries AArch64
- executable workload, instrumented with gem5ops (eg. spmv_csr.elf)
- serial sourcecode in
serial_workload
- serial sourcecode in
- test scripts (eg. spmv_csr.rcS)
- unzip aarch-system-20220707.tar.bz2
- path to vmlinux.arm64 as kernel_path
- path to boot.arm64 as bootloader_path
- unzip ubuntu-18.04-arm-docker.img.bz2
- path to this img as disk_path
Mount disk img as loop dev.
# losetup -P /dev/loopX disk_path
# mount /dev/loopXpY disk_mount_point_as_you_likeCopy workload into it.
# cp workload disk_mount_point_as_you_like/your_workload_path/Example:
# cp spmv_csr.elf as-caida_csr.mtx disk_mount_point_as_you_like/spmv/
Configurate rcS with your workload path. Example spmv_csr.rcS
#!/bin/sh
echo "SpMV Computing!"
cd /spmv
./spmv_csr.elf false ./as-caida_csr.mtx
echo "SpMV Done."
/sbin/m5 exit- Compile GEM5 with scons:
$ scons build/ARM/gem5.opt -j(nproc)- run gem5. Example:
$ build/ARM/gem5.opt \
configs/dmp_pf/fs_L2.py \
--num-cpus 1 \
--cpu-clock 2.5GHz \
--cpu-type O3_ARM_v7a_3 \
--caches --l2cache \
--l1i_assoc 8 --l1d_assoc 8 --l2_assoc 4 \
--l2_mshr_num 32 \
--l2_repl_policy LRURP \
--l2-hwp-type DiffMatchingPrefetcher \
--dmp-init-bench spmv \
--dmp-notify l1 \
--mem-type SimpleMemory --mem-size 8GB \
--kernel=kernel_path \
--bootloader=bootloader_path \
--disk-image=disk_path \
--script=spmv_csr.rcS \
| Name | Description | Example |
|---|---|---|
| --dmp-init-bench | benchmark name for PC hint when auto-detection is disable | spmv |
| --dmp-notify | access cache level which trigger DMP | l1 |
| --tlb-size | DTLB size | 65536 |
| --stride-degree | degree for StridePrefetcher | 4 |
| --dmp-range-ahead-dist | prefetch ahead number of continuous target pc address | 0 |
| --dmp-indir-range | prefetch generating number from continuous index pc offset | 16 |
You can utilize checkpoint mechanism to speedup simulation. Keep --tlb-size consistent between cpt dumping and cpt restoring.