Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines

—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to improve their I/O performance. Traditional parallel file systems (PFS) in high performance computing (HPC) systems are unable to keep up with such high data rates, creating a storage wall. In this work, we present a novel multi-tiered storage architecture comprising hybrid node-local resources to construct a dynamic data staging area for extreme-scale machines. Such a staging ground serves as an impedance matching device between applications and the PFS. Our solution combines diverse resources (e.g., DRAM, SSD) in such a way as to approach the performance of the fastest component technology and the cost of the least expensive one. We have developed an automated provisioning algorithm that aids in meeting the checkpointing performance requirement of HPC applications, by using a least-cost storage configuration...

• Type: Journal
• Year: 2011
• Where: ICDCS
• Authors: Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae Kim, Ali Raza Butt, Min Li, Mahmut T. Kandemir
• Keywords: Distributed And Parallel Computing, ICDCS 2011, Jaguar Supercomputer, Scale Cluster, Storage Architecture