Parallel I/O plays an increasingly important role in today’s data intensive computing applications. While much attention has been paid to parallel read performance, most of this...
— Applications raising in many scientific fields exhibit both data and task parallelism that have to be exploited efficiently. A classic approach is to structure those applica...
We propose a new parallel, noncollective I/O strategy called Distant I/O that targets clustered computer systems in which disks are attached to compute nodes. Distant I/O allows o...
More and more parallel applications are running in a distributed environment to take advantage of easily available and inexpensive commodity resources. For data intensive applicat...
Abstract. As data volumes processed by large-scale distributed dataintensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, w...