Connectionist learning procedures
Artificial Intelligence
Unstructured spectral element methods for simulation of turbulent flows
Journal of Computational Physics
Informed prefetching and caching
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
PPFS: a high performance portable parallel file system
ICS '95 Proceedings of the 9th international conference on Supercomputing
ELFSR0: object-oriented extensible file systems
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
Practical prefetching techniques for parallel file systems
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
Statistical Language Learning
Prefetching in File Systems for MIMD Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Fido: A Cache That Learns to Fetch
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Intelligent, adaptive file system policy selection
FRONTIERS '96 Proceedings of the 6th Symposium on the Frontiers of Massively Parallel Computation
I/O Requirements of Scientific Applications: An Evolutionary View
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Disk-directed I/O for MIMD Multiprocessors
Disk-directed I/O for MIMD Multiprocessors
Automatic Classification of Input/Output Access Patterns
Automatic Classification of Input/Output Access Patterns
On implementing MPI-IO portably and with high performance
Proceedings of the sixth workshop on I/O in parallel and distributed systems
Systems support for scalable data mining
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
A Requirements Analysis for Parallel KDD Systems
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Sourcebook of parallel computing
A distributed multi-storage I/O system for data intensive scientific computing
Parallel Computing - Special issue: Parallel and distributed scientific and engineering computing
Why does file system prefetching work?
ATEC '99 Proceedings of the annual conference on USENIX Annual Technical Conference
Hint controlled distribution with parallel file systems
PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Boosting Application-Specific Parallel I/O Optimization Using IOSIG
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Throttling I/O streams to accelerate file-IO performance
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
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Parallel input/output systems attempt to alleviate the performance bottleneck that affects many input/output intensive applications. In such systems, an understanding of the application access pattern, especially how requests from multiple processors for different file regions are logically related, is important for optimizing file system performance. We propose a method for automatically classifying these global access patterns and using these global classifications to select and tune file system policies to improve input/output performance. We demonstrate this approach on benchmarks and scientific applications using global classification to automatically select appropriate underlying Intel PFS input/output modes and server buffering strategies.