• Fedora 33 server
• Two 20-core Intel(R) Xeon(R) Gold 5218R CPU @ 2.10GHz
• 6 x 16GB DRAM per socket
• 6 x 128GB Intel Optane DC Persistent Memory per socket

MEMTIS currently supports two system configurations

• DRAM + Intel DCPMM (used only single socket)
• local DRAM + remote DRAM (used two socket, CXL emulation mode)

See linux/

You have to enable CONFIG_HTMM when compiling the linux source.

make menuconfig
...
CONFIG_HTMM=y
...

There are nothing special libraries for MEMTIS itself.

(You just need to install libraries for Linux compilation.)

See memtis-userspace/

Please read memtis-userspace/README.md for detailed explanations

• Reconfigures a namespace with devdax mode

sudo ndctl create-namespace -f -e namespace0.0 --mode=devdax
...

• Reconfigures a dax device with system-ram mode (KMEM DAX)

sudo daxctl reconfigure-device dax0.0 --mode=system-ram
...

We used open-sourced benchmarks except SPECCPU2017.

We provided links to each benchmark source in memtis-userspace/bench_dir/README.md

It is necessary to create/update a simple script for each benchmark. If you want to execute XSBench, for instance, you have to create memtis-userspace/bench_cmds/XSBench.sh.

This is a sample.

# memtis-userspace/bench_cmds/XSBench.sh

BIN=/path/to/benchmark
BENCH_RUN="${BIN}/XSBench [Options]"

# Provide the DRAM size for each memory configuration setting.
# You must first check the resident set size of a benchmark.
if [[ "x${NVM_RATIO}" == "x1:16" ]]; then
    BENCH_DRAM="3850MB"
elif [[ "x${NVM_RATIO}" == "x1:8" ]]; then
    BENCH_DRAM="7200MB"
elif [[ "x${NVM_RATIO}" == "x1:2" ]]; then
    BENCH_DRAM="21800MB"
fi

# required
export BENCH_RUN
export BENCH_DRAM

cd memtis-userspace/

# check running options
./scripts/run_bench.sh --help

# create an executable binary file
make

# run
sudo ./scripts/run_bench.sh -B ${BENCH} -R ${MEM_CONFIG} -V ${TEST_NAME}
## or use scripts
sudo ./run-fig5-6-10.sh
sudo ./run-fig7.sh
...

See memtis-userspace/README.md

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

To be updated

• Taehyung Lee (Sungkyunkwan University, SKKU) [email protected], [email protected]
• Sumit Kumar Monga (Virginia Tech) [email protected]
• Changwoo Min (Virginia Tech) [email protected]
• Young Ik Eom (Sungkyunkwan University, SKKU) [email protected]