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Baidu's DeepBench to Evaluate Deep Learning Operations

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Baidu, Inc.’s (BIDU - Free Report) research unit Baidu Research is working on GPU-based deep learning at its Silicon Valley AI Lab (SVAIL).

The unit yesterday announced DeepBench, an open source yardstick to measure the speed of processors in training machine learning models. The benchmark currently tests low level operations like matrix multiplication, handling recurrent layers, convulsions and time taken in sharing data with all processors collectively.

DeepBench as highlighted by SVAIL marks the first step toward improving computing performance. With DeepBench, process designers will be able to track processor speed on different hardware platforms and optimize those platforms for deep learning operations.


Sharan Narang, software engineer at SVAIL stated that "DeepBench will help organizations -- from startups to large companies -- identify the optimal hardware platform for their deep learning applications.” "Researchers can contribute new operations to DeepBench as they develop new algorithms, which will provide them with a voice to communicate their performance needs to hardware designers," he added.

DeepBench is currently evaluating results from NVIDIA Corporation’s (NVDA - Free Report) and Intel Corporation’s (INTC - Free Report) processors. It is available online and invites other hardware vendors to submit results.

Currently, Baidu is a Zacks Rank #4 (Sell) stock. A better-ranked stock in the wider technology sector is LinkedIn Corporation , sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.

Notably, LinkedIn witnessed three positive estimate revisions in the past 60 days and no negative revisions.

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