The reproduced performance is not exactly the same as in the paper

[wei-mei]

Hello, I am reading your OSDI accepted article - MGG: Accelerating Graph Neural Networks with Fine-grained Intra-kernel Communication Computation Pipelining on Multi-GPU Platforms. I am using the git project you provided, but the performance shown in the paper is not achieved, such as Compare with DGL on 8xA100 for GCN (Fig.7a )

dataset	speed up
Reddit_beg_pos	0.598862
enwiki-2013_beg_pos	0.980894
t-2004_beg_pos	2.319232
paper100M_beg_pos	3.729139
ogbn-products_beg_pos	2.551465
ogbn-proteins_beg_pos	0.655375
com-Orkut_beg_pos	5.647636

Test on SXM4 A100*8 80GB, pt-to-pt nvlink's bw = 600GB/sec

How should I adjust some configurations in your git to achieve the performance shown in the paper?