Posts by Luz AngÃ©lica

1) Message boards : Number crunching : Help offered to improve MilkyWay@Home performance for Linux users (Message 67670) Posted 12 Jul 2018 by Luz AngÃ©lica Post: It sounds like you've done everything right. Like I said, I wouldn't expect better performance than that from a Raspberry Pi, the CPU is very slow, I don't think it's worth investing any time or effort in using that device for this project. If you have an x86_64-based system, I can help you compile for your specific CPU, it involves CFLAGS and CXXFLAGS. Source files need to be edited to get it to build on x86_64, I can tell you exactly what needs to be changed, I guess you probably didn't have that issue with the ARM build. The flags probably don't matter for your build, it's a quite basic processor in comparison to a typical desktop one.
2) Message boards : Number crunching : Help offered to improve MilkyWay@Home performance for Linux users (Message 67664) Posted 10 Jul 2018 by Luz AngÃ©lica Post: That sounds about right for a Raspberry Pi, I wouldn't expect any better. How does it compare to the stock app (if there is one for ARM)? I can give you detailed instructions for the build if you like. Tell me what steps you followed to compile it and I'll see if anything looks wrong. Sorry for the delay in replying, I only check this once a day anymore because of the lack of activity.
3) Message boards : Number crunching : Help offered to improve MilkyWay@Home performance for Linux users (Message 67655) Posted 4 Jul 2018 by Luz AngÃ©lica Post: The current version is 7.11.0. If you would like assistance, tell me the commands you're using to attempt the build and paste the error output.
4) Message boards : Number crunching : Help offered to improve MilkyWay@Home performance for Linux users (Message 67653) Posted 3 Jul 2018 by Luz AngÃ©lica Post: Sorry to hear it's not working. I don't see a git clone available for the GPU app, so the only thing I can think of is compiling the current BOINC. I don't know what version of the BOINC libraries the GPU app is compiled against; maybe it's an incompatibility between that and the version you're using. It's worth a try IMO.
5) Message boards : Number crunching : Help offered to improve MilkyWay@Home performance for Linux users (Message 67651) Posted 3 Jul 2018 by Luz AngÃ©lica Post: I'm completing a whole work unit per thread per hour on skylake-avx512 with my optimized MilkyWay@Home binary (the normal application, not N-Body). If you use Linux, I can show you how this is done. There are a few tricks you'll need to know; if you're interested in compiling an optimized binary, I can save you the time and effort of figuring it out. Reply or PM if you would like help with this.