gemm_optimize

optimize matrix multiply with int64

Optimization

• using 8*8 block to compute
• reorder m2 for sequential fetch
• use AVX512 simd instruction sets to accelerate

compile

 gcc -fopenmp -mavx512dq -mavx512f -O3 my_mat_mul.c -o my_mat_mul

moniter with perf

#overview
perf stat -d -d -d ./my_mat_mul <N>
#detail
perf record ./my_mat_mul <N>
perf report

test log

the test log run at nus soc cluster xcne node with xeon gold 6230. Run with command:

perf stat -d -d -d -r 5 ./mat_mul <N>

where N varies [1000, 10000, 1000]

there are 4 log files:

• mat_mul1.csv: no optimized
• mat_mul2.csv: provide mul2 with sequential vector mul-add.
• avx512.csv: only optimized with AVX512 unrolling
• my_mat_mul.csv: optimized with AVX512 and block reordering for cache by kernel block of 8*8.