Hey, > @Toby : I'll also try to take care of runing the auto-tuner/benchmark > script on my HD5850 or Hawaii (It's the Firepro W9100, but you can > advertise a R9 290x for single-precision, as it is much cheaper and has > the same chip for single precision). Which one do you prefer?
I opt for the more recent one. :-) Keep in mind that Toby does not require the super-fastest one the day after the talk, but one with good performance in time for his talk. ;-) > @Karl : Yes, an easy fix :) Considering the portability problems we've > had with GEMM for ViennaCL 1.5.2, I want to be careful. There will be a > better default profiles for CPUs/Accelerators, a better default profiles > for GPUs, and a better default profile for each NVidia / AMD / Intel > GPUs. (In the meanwhile, there is one default crappy global profile. > Although the 1 work-group thing is a bug anyway...) yeah, GEMM needs hardware-specific tuning. But for everything else (which is pretty much equivalent to memory bandwidth limited) we can pretty much 'guess' a good configuration and get close to the practical peak. Best regards, Karli > 2014-07-06 13:37 GMT+02:00 Karl Rupp <r...@iue.tuwien.ac.at > <mailto:r...@iue.tuwien.ac.at>>: > > Hey, > > > > I made a small mistake when creating these "conservative" > profiles. GEMV > > runs with only one work group. I'll fix this, don't worry :) > > > ah, that's an easy fix then. Thanks! > > Best regards, > Karli > > > > > 2014-07-06 13:31 GMT+02:00 Karl Rupp <r...@iue.tuwien.ac.at > <mailto:r...@iue.tuwien.ac.at> > <mailto:r...@iue.tuwien.ac.at <mailto:r...@iue.tuwien.ac.at>>__>: > > > Hey, > > > I'm getting on the plane in a couple of hours, so this > might be > the last > > you here from me till the middle of the night Europe time. > > Have a good flight and enjoy Texas! :-) > > > > >> > I suggest we start unifying in a couple of days > indeed. I > still have a > >>> couple of things to merge, essentially having GEMM > dynamically > generated > >>> for some cases and publishing the repo for auto-tuning > using > pyviennacl. > >>> These have to be done soon so that Toby can present > some good > benchmarks > >>> at the talk. > > > > I'm currently struggling to get decent performance out of > viennacl-dev > > master, even when not doing GEMM. Consider > single-precision dense > GEMV > > using a square matrix and vector with 4096 rows/cols. On > the GTX > 470 on > > krupp2, one execution takes ~0.100s; on the C2050, > ~0.106s. Execution > > overhead is about 0.0003s. But NumPy with MKL takes only > ~0.004s; > I know > > that krupp2 has an 8(?)-core i7, so (something like) 512 > rows/cols per > > core, but I still didn't expect the gap to be like that. > It's > strange, > > because my GeForce 610M takes ~0.090s, and my Intel Ivy > Bridge M > GT2 GPU > > takes ~0.001s (at last competitive with MKL, though I'm > waiting > to test > > correctness as I write this). And NumPy with OpenBLAS on > my i5 takes > > ~0.009s. Any hints? > > So 16M entries with 4 bytes each need to be transferred for > the matrix, > which amounts to 64 MB of data. At an execution time of 0.1 > sec, this is > equivalent to 640 MB/sec of memory bandwidth, which is > about a factor of > 100 off the peak. Way too low. I'll check this today, it > can only be a > tiny detail in the generator integration. > > > >> These are all valid points. What about cropping this > 'offset' > and use > >> something like the following: > >> > >> namespace viennacl { namespace linalg { > >> > >> void some_api_function() { ... } > >> > >> namespace detail > >> { > >> void some_implementation_detail() { ... } > >> } > >> > >> }} > >> > >> This would preserve the benefit of a visual separation > of public > API and > >> private implementations, yet remove the 'global' indent > offset > from the > >> source file. > > > > I like this; and indeed is what I tend to do when > indentation > gets out > > of hand. > > Thanks for the feedback :-) > > Best regards, > Karli > > > > > ------------------------------__------------------------------__------------------ > Open source business process management suite built on Java > and Eclipse > Turn processes into business applications with Bonita BPM > Community > Edition > Quickly connect people, data, and systems into organized > workflows > Winner of BOSSIE, CODIE, OW2 and Gartner awards > http://p.sf.net/sfu/Bonitasoft > _________________________________________________ > ViennaCL-devel mailing list > ViennaCL-devel@lists.__sourceforge.net > <mailto:ViennaCL-devel@lists.sourceforge.net> > <mailto:ViennaCL-devel@lists.__sourceforge.net > <mailto:ViennaCL-devel@lists.sourceforge.net>> > https://lists.sourceforge.net/__lists/listinfo/viennacl-devel > <https://lists.sourceforge.net/lists/listinfo/viennacl-devel> > > > > ------------------------------------------------------------------------------ Open source business process management suite built on Java and Eclipse Turn processes into business applications with Bonita BPM Community Edition Quickly connect people, data, and systems into organized workflows Winner of BOSSIE, CODIE, OW2 and Gartner awards http://p.sf.net/sfu/Bonitasoft _______________________________________________ ViennaCL-devel mailing list ViennaCL-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/viennacl-devel
