mpimemu

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 20)

MPI Library Memory Consumption Utilities

mpimemu Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# mpimemu: MPI Memory Consumption Utilities

This distribution contains the source code for mpimemu, a memory consumption
benchmark for MPI implementations.

## Quick Start

Please see [README.QUICKSTART](README.QUICKSTART).

## Latest Distributions

https://hpc.github.io/mpimemu

## About mpimemu (Technical Report)

See [docs/mpimemu-report-20181114.pdf](docs/mpimemu-report-20181114.pdf) for
more information.

## Citing mpimemu

```
@techreport{gutierrez2018mpimemu,
  title={{A Memory Consumption Benchmark for MPI Implementations}},
  author={Samuel K. Guti\'{e}rrez},
  year={2018},
  institution={Los Alamos National Laboratory (LANL)},
  address={Los Alamos, NM},
  number={LA-UR-18-30898}
}
```

## Citing [memnesia](memnesia)

```
@article{gutierrez:ccpe:2019,
  title={{On the Memory Attribution Problem: A Solution and Case Study Using MPI}},
  author={Samuel K. Guti\'{e}rrez and Dorian C. Arnold and Kei Davis and Patrick
      McCormick},
  journal={Journal on Concurrency and Computation: Practice and Experience},
  pages={e5159},
  publisher={Wiley Online Library},
  year={2019},
  month={February},
  doi={https://doi.org/10.1002/cpe.5159}
}
```

## Installation

First make certain that `mpicc` or another MPI wrapper compiler with similar
capabilities is in your `$PATH`.

### Standard Configure
```
# mpicc and cc are checked by default
./configure
```

### Configure with Different Wrapper Compiler
```
./configure CC=<NEWCC>
```

### Build
```
make && make install
```

### Example Configure and Build
```
./configure --prefix=$HOME/local/mpimemu && make && make install
```

## Installation Notes

mpimemu does not necessarily need to be installed via `make install`. It can
be used directly from within its source directory.

## Environment Setup

`mpimemu-run` is a helper utility used to run a succession of mpimemu instances
of various sizes. The following environment variables change the way
`mpimemu-run` behaves.

### Required Environment Variables

`MPIMEMU_MAX_PES`: Specifies the maximum number of MPI processes that will be
                   launched.

`MPIMEMU_RUN_CMD`: Specifies a *run template* that will be used to launch
mpimemu jobs.

### Example Run Templates With mpirun
```
mpirun -n nnn aaa
```
```
mpirun -n nnn -npernode NNN aaa
```

### Example Run Templates With aprun
```
aprun -n nnn aaa
```
```
aprun -n nnn -N NNN aaa
```

### Required Template Variables

`nnn`: Replaced with the total number processes to be launched. This value
changes after each run and is determined by `MPIMEMU_NUMPE_FUN(X)`. More on
`MPIMEMU_NUMPE_FUN` below.

`aaa`: Replaced with the mpimemu run string.

### Optional Template Variables

`NNN`: Replaced with `MPIMEMU_PPN`. If `MPIMEMU_PPN` is not set, 1 will be used.

`MPIMEMU_NUMPE_FUN`: Specifies the function that determines how `nnn` grows with
respect to X. **"X" must be provided within the string defining the function.**

### Example (bash-like)
```
export MPIMEMU_START_INDEX=0
export MPIMEMU_NUMPE_FUN="X+1"
export MPIMEMU_MAX_PES=4
```
Will run jobs of size 1, 2, 3, 4.

### Useful, Accepted Arithmetic Operators
```
+   Addition
*   Multiplication
**  Exponentiation
```

### Optional Environment Variables

`MPIMEMU_START_INDEX`: Specifies the starting integer value of an increasing
value, X.  When set, X is incremented by 1, starting at the specified value,
while `MPIMEMU_NUMPE_FUN(X) <= MPIMEMU_MAX_PES`.

`MPIMEMU_PPN`: Specifies the number of MPI processes per node.

`MPIMEMU_DATA_DIR_PREFIX`: Specifies the base directory where mpimemu data are
stored.

`MPIMEMU_BIN_PATH`: Specifies the directory where mpimemu is located.

`MPIMEMU_SAMPS_PER_S`: Integer value specifying the number of samples that will
be collected every second.  Default: 10 samples per second.

`MPIMEMU_SAMP_DURATION`: Integer value specifying the sampling duration in
seconds.  Default: 10 seconds.

`MPIMEMU_DISABLE_WORKLOAD`: If set, disables synthetic MPI communication
workload.

**Please note that mpimemu requires that all nodes have the same number of
tasks. This implies that for all values of `MPIMEMU_NUMPE_FUN(X)`, the task per
node requirement must be maintained.  Otherwise, some run failures may occur.**

## Running

Once your environment is setup, add your mpimemu installation prefix to your
`$PATH` or run from within the source distribution.

### Example (if in $PATH)
```
mpimemu-run
```

### Example (from within source distribution)
```
./src/mpimemu-run
```

When complete, the data directory will be echoed.  For example:
```
data written to: /users/samuel/mpimemu-samuel-01032013
```

## Generating CSV Files

`mpimemu-mkstats` consolidates data generated by `mpimemu-run`. To generate CSV
files, simply run `mpimemu-mkstats -i [/path/to/data]`. For more options and
information, run `mpimemu-mkstats -h`.

## Plotting the Data (CSVs)

`mpimemu-plot` can be used to generate node and process memory usage from output
generated by `mpimemu-mkstats`. `gnuplot` and `ps2pdf` are required to be in
your PATH.

## Interpreting the Data

Take idle system memory usage into consideration (e.g., system image size).
mpimemu can provide a general sense of memory usage scaling, but it is important
to note that not all the memory being consumed on a compute resource is due to
MPI library usage. Generally it is good practice to start your scaling runs at 1
MPI process to get a general sense about *close-to-base* memory usage (i.e.,
base system usage).

`mpimemu-plot` presents MPI memory usage as `MemUsed - Pre Init MemUsed`. Please
contact me if you have a better metric.

## FAQ

Why is configure failing with:
```
[X] cannot compile MPI applications. cannot continue.
```
Try the following, if using `mpicc`.
```
./configure CC=mpicc
```

mpimemu

mpimemu Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

mpimemu

mpimemu Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README