Solving problems on concurrent processors
Solving problems on concurrent processors
Solving problems on concurrent processors. Vol. 1: General techniques and regular problems
Solving problems on concurrent processors. Vol. 1: General techniques and regular problems
A case for redundant arrays of inexpensive disks (RAID)
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
File concepts for parallel I/O
Proceedings of the 1989 ACM/IEEE conference on Supercomputing
Parallel processing in information systems with examples and cases
Parallel processing in information systems with examples and cases
Compiling Fortran D for MIMD distributed-memory machines
Communications of the ACM
Journal of Parallel and Distributed Computing - Special issue on parallel I/O systems
OSF-1 Programmer's Reference
IEEE Parallel & Distributed Technology: Systems & Technology
Data-Parallel Programming on MIMD Computers
IEEE Transactions on Parallel and Distributed Systems
Proceedings of the Second International Conference on Data Engineering
The high performance storage system
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
The parallel I/O architecture of the high-performance storage system (HPSS)
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Dynamic Access Load Balancing on the Parallel Secondary Storage
PAS '97 Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
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Because it retrieves all instructions and data from a single memory, the von Neumann computer architecture has a fundamental speed limit. The scalable multicomputer architecture, which uses many microprocessors together to solve a single problem and can run at teraflop speeds, may be a solution. While teraflop processor technology is known, the scalable operating and I/O system technology necessary for those speeds are not known. The authors describe how Unix can be extended to scalable computing, permitting teraflop speeds and offering parallel computing to users unfamiliar with parallel programming. They designed this technology into the system software of the Ncube-2, the predecessor to Ncube's announced teraflop parallel computer. The authors describe the system in detail and provide some performance results.