title: Designing a connectionist network supercomputer.
abstract: This paper describes an effort at UC Berkeley and the International Computer Science Institute to develop a supercomputer for artificial neural network applications. Our perspective has been strongly influenced by earlier experiences with the construction and use of a simpler machine. In particular, we have observed Amdahl's Law in action in our designs and those of others. These observations inspire attention to many factors beyond fast multiply-accumulate arithmetic. We describe a number of these factors along with rough expressions for their influence and then give the applications targets, machine goals and the system architecture for the machine we are currently designing.
authors.affiliation: University of California, Berkeley.
authors.forename: K
authors.initials: K
authors.lastname: Asanović
authors.forename: J
authors.initials: J
authors.lastname: Beck
authors.forename: J
authors.initials: J
authors.lastname: Feldman
authors.forename: N
authors.initials: N
authors.lastname: Morgan
authors.forename: J
authors.initials: J
authors.lastname: Wawrzynek
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003199:Computer Systems; D003201:Computers; D003202:Computers, Analog; D003203:Computers, Hybrid; D016208:Databases, Factual; D016571:Neural Networks, Computer; D012984:Software