iFast: Host-Side Logging for Scientific Applications
| Autor: | Chien, Steven W. D., Sato, Kento, Podobas, Artur, Jansson, Niclas, Markidis, Stefano, Honda, Michio |
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| Rok vydání: | 2024 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | We have seen an increase in the heterogeneity of storage technologies potentially available to scientific applications, such as burst buffers, managed cloud parallel file systems (PFS), and object stores. However, those applications cannot easily utilize those technologies, because they are designed for traditional HPC systems that offer very high remote storage and network bandwidth. We present iFast, a new distributed host-side logging approach to transparently accelerating scientific applications. iFast has a strong emphasis on deployability, supporting unmodified MPI applications with unmodified MPI implementations while preserving the crash consistency semantics. We evaluate iFast on traditional HPC, cloud HPC, local cluster, and a hybrid of both, using three scientific applications. iFast reduces end-to-end execution time by 13-26% for popular scientific applications on the cloud. We show for the first time, how an application on a recent production HPC system can write data to S3 storage through fully fledged MPI-IO, in a readily shareable format. Comment: Submitted to VLDB 2025 |
| Databáze: | arXiv |
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