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Intel is playing catch up with Xeon Phi and OpenCL with open source projects like: https://01.org/beignet https://01.org/beignet and https://github.com/01org/id
by ogrisel 11y ago
Intel is playing catch up with Xeon Phi and OpenCL with open source projects like: https://01.org/beignet https://01.org/beignet and https://github.com/01org/idlf https://github.com/01org/idlf .
It's not at the level of being as fast as cuDNN nor integrated in major deep learning libraries but at least we can expect some competition in the coming years.
- ilurk 11y agoThat doesn't sound like a worthwhile approach to me. Xeon are server CPUs. So that means that whoever bothers buying Xeons with scientific computing in mind may as well go all the way and buy nVidia GPUs instead. So instead of making that framework available to all Intel Haswell and newer families and try to persuade the customer from having to buy nVidia GPUs, they cut themselves short.
- sp332 11y agoThe Xeon Phi is not a Xeon. It's a co-processor. https://www-ssl.intel.com/content/www/us/en/processors/xeon/xeon-phi-detail.html https://www-ssl.intel.com/content/www/us/en/processors/xeon/... The main advantage is that you can run almost-normal x86 code on it. Each core gets its own cache, so it's not really the same as programming for GPUs.