Path: utzoo!utgpu!water!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!mailrus!ames!vsi1!altnet!uunet!cme-durer!brickman From: brickman@cme-durer.ARPA (Jonathan E. Brickman) Newsgroups: comp.ai.neural-nets Subject: Re: Need a neural net simulator Keywords: PDP Message-ID: <537@rosie.cme-durer.ARPA> Date: 29 Jul 88 13:21:16 GMT References: <274@cs.Buffalo.EDU> <5184@sdcsvax.UCSD.EDU> Reply-To: brickman@rosie (Jonathan E. Brickman) Organization: The National Bureau of Standards Lines: 49 ----- News saved at 29 Jul 88 13:14:09 GMT One very capable machine worth mentioning is Masscomp. It runs 4 or more 25 MHz 68030's, 128+ megs RAM, and X-Windows over Unix. It runs real-time Unix, which reportedly allows any or all of the CPUs to run Unix while those not running Unix dedicate themselves to computation and I/O. This machine may well outperform your hypothetical machine. It probably outprices it as well: $350K for the above system. ||Jonathan E. Brickman Newsgroups: comp.lang.idl Subject: Re: Workstation Questions Summary: Expires: References: <552@helios.ee.lbl.gov> Sender: Reply-To: brickman@rosie (Jonathan E. Brickman) Followup-To: Distribution: comp.sys.workstations,comp.edu,comp.graphics,comp.os.vms Organization: The National Bureau of Standards Keywords: workstations,masscomp One very capable machine worth mentioning is Masscomp. It runs 4 or more 25 MHz 68030's, 128+ megs RAM, and X-Windows over Unix. It runs real-time Unix, which reportedly allows any or all of the CPUs to run Unix while those not running Unix dedicate themselves to computation and I/O. This machine may well outperform your hypothetical machine. It probably outprices it as well: $350K for the above system. ||Jonathan E. Brickman Newsgroups: comp.ai.neural-nets Subject: Summary: Expires: References: <274@cs.Buffalo.EDU> <5184@sdcsvax.UCSD.EDU> Sender: brickman@rosie (Jonathan E. Brickman) Reply-To: Followup-To: Distribution: Organization: The National Bureau of Standards Keywords: neural Does anyone know if there exists a network, simulated or digital or analog hardware, which will allow a non-selforganizing network of multiple million neurons? I am looking for a very fast way to achieve image mapping capability, and so far it looks like I go with either a heavily parallel multi-CPU system or a really good neural net. ||Jonathan E. Brickman