Search our client documentation below, optionally filtered by one or more systems.
Search Documentation
Search Documentation
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 number 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).