|
gptkbp:instance_of
|
gptkb:computer
|
|
gptkbp:architectural_style
|
dataflow architecture
|
|
gptkbp:cooling_system
|
air-cooled
|
|
gptkbp:designed_by
|
gptkb:Thinking_Machines_Corporation
|
|
gptkbp:form_factor
|
rack-mounted
|
|
gptkbp:has_website
|
gptkb:Artificial_Intelligence
gptkb:currency
data analysis
numerical simulations
weather modeling
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
CM-5 E
|
|
gptkbp:input_output
|
gptkb:computer
high-speed network interfaces
|
|
gptkbp:introduced
|
gptkb:1989
|
|
gptkbp:language
|
gptkb:C
gptkb:Fortran
gptkb:Lisp
|
|
gptkbp:market_segment
|
gptkb:private_sector
universities
government agencies
research institutions
supercomputing
|
|
gptkbp:notable_features
|
flexibility
high performance
modularity
scalability
programmability
|
|
gptkbp:notable_users
|
gptkb:MIT
gptkb:Los_Alamos_National_Laboratory
gptkb:NASA
|
|
gptkbp:operating_system
|
CMOS
|
|
gptkbp:performance
|
up to 1.2 Gflops
|
|
gptkbp:power_consumption
|
approximately 50 k W
|
|
gptkbp:processor
|
up to 1024
custom VLSI processors
|
|
gptkbp:produced_by
|
discontinued
|
|
gptkbp:ram
|
shared memory
|
|
gptkbp:socket_type
|
gptkb:hypercube
|
|
gptkbp:successor
|
gptkb:CM-5
CM-200
CM-5 E/2
|
|
gptkbp:type
|
parallel supercomputer
|
|
gptkbp:used_in
|
scientific computing
|
|
gptkbp:weight
|
varies by configuration
|
|
gptkbp:bfsParent
|
gptkb:CM-5
|
|
gptkbp:bfsLayer
|
7
|