Applications at the Army High Performance Computing Research Center's (AHPCRC) Graphic and Visualization Laboratory (GVL) at the University of Minnesota require a tremendous amount of I/O bandwidth and this appetite for data is growing. Silicon Graphics workstations are used to perform the post-processing, visualization, and animation of multi-terabyte size datasets produced by scientific simulations performed of AHPCRC supercomputers. The M.A.X. (Maximum Achievable Xfer) was designed to find the maximum achievable I/O performance of the Silicon Graphics CHALLENGE/Onyx-class machines that run these applications. Running a fully configured Onyx machine with 12-150MHz R4400 processors, 512MB of 8-way interleaved memory, 31 fast/wide SCSI-2 ch...
We describe the implementation of a large scale disk array controller and subsystem incorporating ov...
Combining the strengths of MPIProf and IOT, an efficient and systematic method is devised for I/O ch...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
Computing is seeing an unprecedented improvement in performance; over the last five years there has ...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Fast file systems are critical for high-performance scientific computing, since many scientific appl...
The performance is examined of Redundant Arrays of Inexpensive Disks (RAID) the First, a prototype d...
Goodyear Aerospace delivered the Massively Parallel Processor (MPP) to NASA/Goddard in May 1983, ove...
Many scientific applications have intense computational and I/O requirements. Although multiprocesso...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...
The goal of NASA's Numerical Aerodynamic Simulation (NAS) Program is to provide a powerful computati...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
We describe the implementation of a large scale disk array controller and subsystem incorporating ov...
Combining the strengths of MPIProf and IOT, an efficient and systematic method is devised for I/O ch...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...
Computing is seeing an unprecedented improvement in performance; over the last five years there has ...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Many scientific applications that run on today\u27s multiprocessors are bottlenecked by their file I...
Fast file systems are critical for high-performance scientific computing, since many scientific appl...
The performance is examined of Redundant Arrays of Inexpensive Disks (RAID) the First, a prototype d...
Goodyear Aerospace delivered the Massively Parallel Processor (MPP) to NASA/Goddard in May 1983, ove...
Many scientific applications have intense computational and I/O requirements. Although multiprocesso...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...
The goal of NASA's Numerical Aerodynamic Simulation (NAS) Program is to provide a powerful computati...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
We describe the implementation of a large scale disk array controller and subsystem incorporating ov...
Combining the strengths of MPIProf and IOT, an efficient and systematic method is devised for I/O ch...
Rapid increases in the computational speeds of multiprocessors have not been matched by correspondin...