news@pucc-h (Usenet news) (04/25/84)
Call For Papers SUPERCOMPUTER APPLICATIONS SYMPOSIUM October 31 - November 1, 1984 West Lafayette, IN Co-sponsored by: Purdue University Computing Center Purdue Center for Parallel and Vector Computing Control Data For the past two years, Control Data has co-sponsored an annual applications symposium at one of its CYBER 205 customer sites. At Colorado State University in 1982 and at Goddard Space Flight Center in 1983, scientists, mathematicians, and engineers exchanged ideas on methods and techniques for applying the CYBER 205 vector processor to the solution of important computational problems. This year at Purdue University the symposium will include papers describing parallel processing methods using the CYBERPLUS multiple parallel processor. Topics for papers include all aspects, both theoretical and applied, of vector and parallel processing techniques using the CYBER 205 or the CYBERPLUS. Theoretical papers should describe advances in general numerical methods to take advantage of these two architectures. Applied papers should describe the use of particular features of these architectures to solve specific problems. All papers should be addressed to an interdisciplinary audience with enough background information to explain the topic to a general scientific audience. Papers will be grouped in four general areas: * Numerical Methods and Software Development * Computational Fluid Dynamics and Weather * Computational Physics and Chemistry * Engineering and Petroleum Applications Authors wishing to present a paper should submit five copies of a two-page abstract to one of the conference organizers by June 29, 1984. Referees will evaluate the abstracts, and the conference organizers will announce papers accepted for presentation around August 1, 1984. Authors will be required to provide a full manuscript at the beginning of the conference for publication in the conference proceedings. Conference Organizers Robert Numrich Control Data/HQN10V 8100 34th Avenue South Minneapolis, MN 55440 Telephone: (612) 853-2690 Saul Rosen Director, Computing Center Purdue University West Lafayette, IN 47907 Telephone: (317) 494-1787 ARPA: sxr@purdue UUCP: ...!pur-ee!pucc-i:aa1
ctk@ecsvax.UUCP (04/27/84)
What is a CYBERPLUS? Do they presently exist? Where are they?
jones@ut-ngp.UUCP (05/03/84)
[][][] The CYBERPLUS is high speed scalar processor made of 15 independent functional units that can accept data every machine cycle (1 machine cycle = 20 nanoseconds). It is capable of 650 million instructions per second (this assumes that you have an application that can use almost all of the independent functional units at one time). The CYBERPLUS has a floating point option, made up of three additional functional units, capable of 65 MFLOPS with 64 bit floating point numbers and 103 MFLOPS with 32 bit floating point numbers. Each functional unit can provide output to any or all of the other functional units through a crossbar. There is a register unit to provide high speed temporary storage but it is not required when using a functional unit (you can do memory to functional unit to memory operations). Each CYBERPLUS processor can connect to other CYBERPLUS processors through a number of ring interfaces. The ring interface provides immediate transfer for the memory of one CYBERPLUS processor to the memory of any one or combination of other processors on the ring. The ring interface also provides a indirect mode which places the data in a queue state until the designated processor or processors are ready to process the data. Each CYBERPLUS has 256K of 64 bit high-performance data memory. It is expandable to 512K 64 bit words. The program instruction memory is made up of 4096 200-bit words. I believe that the size of the program memory increases with the floating point option. I can not remember by how much. 1K = 1024 William L. Jones (The Bear) {ihnp4,seismo,ctvax}!ut-sally!ut-ngp!jones jones@utexas-11.arpa
jones@ut-ngp.UUCP (05/03/84)
[][][] One more inportant thing about CYBERPLUS, it is a trade mark of Control Data Coropration.