Date: Fri, 26 Jul 2013 23:26:48 +0100 From: Rafael Waldo Delgado Doblas <lord.rafa@...il.com> To: john-dev@...ts.openwall.com Subject: Re: Parallella: Litecoin mining Hello Yaniv, 2013/7/26 Yaniv Sapir <yaniv@...pteva.com> > Rafael, > > As a starting point, consider using (a) neighbor core(s) local memory to > store parts of your big array. It is much faster to retrieve data from an > on-chip memory than the external memory. Obviously, it means that you are > either not going to use the adjacent core for processing in parallel, or > you need to write the program in a way that core groups share the same data > buffer(s) (I am not familiar with the algorithm so I don't know if "V" > needs to be modified during the calculation). > > Yaniv. > > V will be modified several times during the calculation and will need whole 32KB per core. Can I load the binary executable image in just one core memory area and run it from the rest of the cores? If we can do that the memory map will looks something like: 0-31K for V on first core 32-63K for V on second core ... 416-447K for V on fourteenth core 448-479K for V on fifteenth core 480-?? for binary executable image ??-??? for XY B first core. .... ??-??? for XY B fifteenth core. With this approach only 15 of 16 cores can be used because there is no memory for the sixteenth core. Content of type "text/html" skipped
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