Several algorithms for parallel disk systems have appeared in the literature recently, and they are asymptotically optimal in terms of the number of disk accesses. Scalable systems with parallel disks must be able to run these algorithms. We present a list of capabilities that must be provided by the system to support these optimal algorithms: control over declustering, querying about the configuration, independent I/O, turning off file caching and prefetching, and bypassing parity. We summarize recent theoretical and empirical work that justifies the need for these capabilities. 1 Introduction To date, the design of parallel disk systems and file systems for parallel computers has not taken into account much of the theoretical work in alg...
The I/O performance of applications in multiple-disk systems can be improved by overlapping disk acc...
[[abstract]]Applications on massively parallel processors (MPP) often require a high aggregate bandw...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of d...
The control of I/O by traditional file systems and virtual memory systems can result in substantial ...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
If we examine the structure of the applications that run on parallel machines, we observe that their...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
Parallel disk I/O subsystems are becoming more important in today’s large-scale parallel machines. P...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of d...
Parallel file systems employ data declustering to increase I/O throughput. But because a single read...
Recently, parallel disk systems have emerged as a potential solution for achieving ultra-high capaci...
The I/O performance of applications in multiple-disk systems can be improved by overlapping disk acc...
[[abstract]]Applications on massively parallel processors (MPP) often require a high aggregate bandw...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of d...
The control of I/O by traditional file systems and virtual memory systems can result in substantial ...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
If we examine the structure of the applications that run on parallel machines, we observe that their...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
Parallel disk I/O subsystems are becoming more important in today’s large-scale parallel machines. P...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of d...
Parallel file systems employ data declustering to increase I/O throughput. But because a single read...
Recently, parallel disk systems have emerged as a potential solution for achieving ultra-high capaci...
The I/O performance of applications in multiple-disk systems can be improved by overlapping disk acc...
[[abstract]]Applications on massively parallel processors (MPP) often require a high aggregate bandw...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...