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Altera, Baidu ally on FPGA-based acceleration for cloud data centers

Altera, FPGAs, semiconductors

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Pradeep Chakraborty
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NEW YORK, USA: Altera Corp. and Baidu, China’s largest online search engine, are collaborating on using FPGAs and convolutional neural network (CNN) algorithms for deep learning applications set to play a critical role in the development of more accurate and faster online search.

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Altera is demonstrating its work with Baidu at the High Performance Computing (HPC) for Wall Street conference in New York City, taking place on September 22, 2014.

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The Altera-Baidu demonstration (booth #215B) illustrates how much faster image classification can take place using FPGA-accelerated CNNs. In key search functions, such as image classification and recognition tasks, CNNs are considered to be the state-of-the-art and provide record-setting accuracy.

Baidu is leveraging Altera Stratix V FPGAs and the Altera SDK for OpenCL, which achieved Khronos OpenCL conformance testing certification in May 2013, to dramatically simplify the implementation of parallel processing applications.

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