From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.5-pre1 (2020-06-20) on ip-172-31-74-118.ec2.internal X-Spam-Level: X-Spam-Status: No, score=-1.9 required=3.0 tests=BAYES_00 autolearn=ham autolearn_force=no version=3.4.5-pre1 Date: 22 Sep 92 20:14:20 GMT From: rayssd!swlvx2!lms@uunet.uu.net (LEE MARDEN) Subject: Re: Using Global Variables Message-ID: <1992Sep22.201420.25962@swlvx2.msd.ray.com> List-Id: At the risk of being flamed for continuing to beat a dead horse, could some summarize the methods available (good and bad) for using shared memory. I just started to monitor comp.lang.ada and have a specific problem I'm trying to solve. Here goes: I have a 4D/240 Power series Silicon Graphics computer running Irix 4.0.1 (Unix) and the Verdix Ada compiler (on order). The computer has 4 processors. The plan is to reuse code as much as possible so I'm stuck with one processor running C, another Fortran and the other two Ada. Each processor needs to communicate with the others. I'm not sure on the amount of data, but my first guess would be tons(>1k variables). My initial investigate has only lead me to the conclusion that I would have to write some Ada wrappers around the C routines (shmctl, shmop, shmget) to control a shared memory chunk, and that all I would get is a pointer to the data space. That would make data access very clumsy. I've heard of some Pragmas on other systems that allow you to specify that an entire package of variables be shared, and utilities to perform the maintance thereof. I hope that's enough info for someone to respond. If not, let me know and I'll elaborate (no pun intended). AdvThanksance, Lee Marden -- AdvThanksance, Lee S. Marden, lms@swlray.msd.ray.com Raytheon Company, Missile Systems Division, Tewksbury, MA 01876