TensorFlow
Posted: Tue Nov 10, 2015 9:11 pm
http://www.tensorflow.org
would google's recently open sourced TensorFlow machine-learning related framework be a good fit for the Epiphany architecture?
It seems to deal with data flow graphs related to machine learning, and currently has CPU and GPU implementations, and works on multidimensional data. I suppose each processing node would translate into a group of cores on the Epiphany grid, DMA'ing results between them without having to touch external memory.. seems a perfect fit.
Is anyone looking into these types of workload; Given the profile of Google, and AI, would it be a good avenue to get demand and users for the epiphany architecture.
There's been a lot of talk of new hardware emerging for AI and I would personally much rather see something versatile like the Epiphany eating into GPGPU (and capable of vertex-processing in graphics) rather than dedicated neural hardware tailored to one specific usecase.
I suspect this is something the Epiphany could do better than GPUs, and its' all the rage at the minute.
would google's recently open sourced TensorFlow machine-learning related framework be a good fit for the Epiphany architecture?
It seems to deal with data flow graphs related to machine learning, and currently has CPU and GPU implementations, and works on multidimensional data. I suppose each processing node would translate into a group of cores on the Epiphany grid, DMA'ing results between them without having to touch external memory.. seems a perfect fit.
Is anyone looking into these types of workload; Given the profile of Google, and AI, would it be a good avenue to get demand and users for the epiphany architecture.
There's been a lot of talk of new hardware emerging for AI and I would personally much rather see something versatile like the Epiphany eating into GPGPU (and capable of vertex-processing in graphics) rather than dedicated neural hardware tailored to one specific usecase.
I suspect this is something the Epiphany could do better than GPUs, and its' all the rage at the minute.