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PlaidML Deep Learning Framework Benchmarks With OpenCL On NVIDIA & AMD GPUs

Submitted by Rianne Schestowitz on Monday 14th of January 2019 08:50:00 PM Filed under
Graphics/Benchmarks

Pointed out by a Phoronix reader a few days ago and added to the Phoronix Test Suite is the PlaidML deep learning framework that can run on CPUs using BLAS or also on GPUs and other accelerators via OpenCL. Here are our initial benchmarks of this OpenCL-based deep learning framework that is now being developed as part of Intel's AI Group and tested across a variety of AMD Radeon and NVIDIA GeForce graphics cards.

Over the weekend I carried out a wide variety of benchmarks with PlaidML and its OpenCL back-end ofr both NVIDIA and AMD graphics cards. The Radeon tests were done with ROCm 2.0 OpenCL and it was working out fine there without any troubles while also working fine with NVIDIA's OpenCL driver stack. Benchmarks were done with a variety of neural networks, both training and inference, etc.

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