#!/bin/bash

mkdir -p log/$(hostname)
fn=log/$(hostname)/dimes-hetsim-transfer

source /opt/upmem/upmem-2024.1.0-Linux-x86_64/upmem_env.sh

./make-size.sh 0

run_benchmark_nmc() {
	local "$@"
	set -e
	sudo limit_ranks_to_numa_node ${numa_rank}
	make -B NR_RANKS=${nr_ranks} NR_TASKLETS=1 BL=10 TRANSFER=PUSH NUMA=1
	bin/host_code -a $numa_in -b $numa_out -c $numa_cpu -w 0 -e 5 -x 0 -N 0 -I $(size -A bin/dpu_code | awk '($1 == ".text") {print $2/8}') -i ${input_size}
	return $?
}

export -f run_benchmark_nmc

# The benchmark allocates 3 * 64 * nr_ranks * 8B * input_size (one array for input, one array for output).
# With 1048576 elements (8 MiB per DPU), this gives a maximum allocation of 60 GiB, which will fit comfortably into system memory (128 GiB).
# With 2097152 elements (16 MiB per DPU), we may encounter OoM conditions, since the UPMEM SDK also allocates some memory.

(

parallel -j1 --eta --joblog ${fn}.1.joblog --resume --header : \
	run_benchmark_nmc nr_ranks={nr_ranks} numa_rank={numa_rank} numa_in={numa_in} numa_out={numa_out} numa_cpu={numa_cpu} input_size={input_size} \
	::: i $(seq 1 10) \
	::: numa_rank 0 1 \
	::: numa_in 0 1 \
	::: numa_out 0 1 \
	::: numa_cpu 0 1 \
	::: nr_ranks $(seq 1 20) \
	::: input_size 1 1048576

parallel -j1 --eta --joblog ${fn}.2.joblog --resume --header : \
	run_benchmark_nmc nr_ranks={nr_ranks} numa_rank={numa_rank} numa_in={numa_in} numa_out={numa_out} numa_cpu={numa_cpu} input_size={input_size} \
	::: i $(seq 1 10) \
	::: numa_rank any \
	::: numa_in all \
	::: numa_out all \
	::: numa_cpu 0 1 \
	::: nr_ranks $(seq 21 40) \
	::: input_size 1 1048576

) >> ${fn}.txt