Results 14 comments of zhao feng

> @parkerzf I'm trying to reproduce this problem under GCC version 4.8.5 Thanks Lidong! Could you let us know what are the GCC version in your setup? We also can...

Hey lidong, thanks for the inspection. However, we get some other compiling error even using GCC `11.2.0`. I will share it later in the comment.

``` 2022-07-06 14:59:38,718 [INFO][session:1479]: Creating default session ... 2022-07-06 14:59:38,719 [INFO][session:682]: Initializing graphscope session with parameters: {'addr': None, 'mode': 'eager', 'cluster_type': 'hosts', 'num_workers': 1, 'preemptive': True, 'k8s_namespace': None, 'k8s_service_type': 'NodePort',...

Hey @zhanglei1949 Could you please elaborate a bit more about what is the goal of this benchmark, especially the Graph analytical benchmark? Thanks very much!

Thanks @zhanglei1949 for the intro, looks promising. Got two follow up questions: 1. Is GraphFrames on pyspark in the scope? Or this is purely for GraphX? 3. From [LDBC analytics...

Very informative and looking forward to it!

I faced a similar issue. Trying to find the practical hardware requirements for running graph algorithms using cuGraph. I use the AWS `g5.12xlarge` instance, with 4 A10G GPUs, in total...

Not yet. I created another issue in `cudf`: https://github.com/rapidsai/cudf/issues/11796

To summarise, both UVM approach and the multi-GPU with `LocalCUDACluster` face the OOM issue, when loading the twitter data to cuGraph. @Ankitkurani1997 What is the GPU memory and CPU memory...