In October, 1995 OSC engineers installed an SGI Power Challenge system at the KRC site. The SGI system featured 16 processors, two gigabytes of main memory (8-way interleaved), and four megabytes of secondary cache.
OSC engineers in 1995 installed a Convex Exemplar SPP1220 system, a recently upgraded version of Convex’s popular SPP1000 system, featuring a new processor, memory and I/O package.
In April, 1995, OSC engineers began installing a powerful new computer at the OSC/KRC – an IBM RISC System/6000* Scalable POWERparallel Systems * SP2.
In 1994 OSC installed a Cray Y-MP 2E as a complement machine to the Cray T3D MPP.
On April 18, 1994, OSC engineers took delivery of a 32-processor Cray T3D MPP, an entry-level massively parallel processing system. Each of the processors included a DEC Alpha chip, eight megawords of memory and Cray-designed memory logic.
In August 1989, OSC engineers completed the installation of the $22 million Cray Y-MP8/864 system, which was deemed the largest and fastest supercomputer in the world for a short time.
Ohio State in the spring of 1987 budgeted $8.2 million over the next five years to lease a Cray X-MP/24, OSP’s first real supercomputer. The X-MP arrived June 1 at the OSU IRCC loading dock on Kinnear Road.
Often users want to submit a large amount of jobs all at once with each using different parameters for each job. These parameters could be anything, including the path of a data file or different input values for a program. This how-to will show you how you can do this using a simple python script, a CSV file, and a template script. You will need to adapt this advice for your own situation.
PnetCDF is a library providing high-performance parallel I/O while still maintaining file-format compatibility with Unidata's NetCDF, specifically the formats of CDF-1 and CDF-2. Although NetCDF supports parallel I/O starting from version 4, the files must be in HDF5 format. PnetCDF is currently the only choice for carrying out parallel I/O on files that are in classic formats (CDF-1 and 2). In addition, PnetCDF supports the CDF-5 file format, an extension of CDF-2, that supports more data types and allows users to define large dimensions, attributes, and variables (>2B elements).