Contact: Garth Gibson

The Parallel Data Lab is participating in the Scalable I/O initiative, a collective research effort involving several universities and research labs to address the needs of I/O intensive applications. The context of this work evolved from focussing on improving I/O performance for massively parallel and large multiprocessor systems to include other forms of parallel computing such as networks of workstations. A list of participating organizations can be found here.

The scalable I/O initiative involves several working groups which are focussing on applications, performance evalaution, compilers and languages, operating and file systems, and integration and testbeds. The CMU Parallel Data Laboratory is active in the operating and file systems working group.

Our participation concentrates on three main thrust areas:




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Last updated 15 March, 2012