Paper Review of Profiling Platform Storage Using IO500 and Mistral
Paper Summary
This study investigates how to use IO500 and the Ellexus Mistral tool to analyze precise performance characteristics in order to tune IO performance on Astra, an ARM-based Sandia machine with an all flash, Lustre-based storage array. This article proves, through this case study, that IO500 serves as a valid storage benchmark, even for all flash storage. This research also demonstrates the need of employing fine-grained profiling tools such as Mistral for discovering tuning demand specifics. Overall, this study highlights the utility of a wide spectrum benchmark, such as IO500, in conjunction with a fine-grained performance analysis tool, such as Mistral, for understanding particular storage system performance and making more informed tuning decisions.
Pros and Cons
Pros
This article implements IO500 on a new device (AArch64).
Cons
This article lack of the experiments with other distributed file systems.
Brain Storm
Using a comparable system metrics monitor to debug HPC programs is an excellent method, but it requires significant system and hardware support.
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Written by
Siyuan Zhang
Siyuan Zhang
I am a senior from Shanghaitech U, a leader of GeekPie HPC team, looking for a master position in US. My interesting field consists of HPC, Mlsys, AI+HPC, and AI4Science. Currently, I am working on a AI training job scheduler in HPC, and a new NeRF in cloud rendering envirnment.