Sharan Narang is a senior researcher on the systems team at Baidu’s Silicon Valley AI Lab (SVAIL), where he leads the effort to benchmark deep learning applications. He released DeepBench in 2016, an open-source benchmark that measures the performance of deep learning workloads. Sharan also focuses on research to improve the performance of deep learning models by reducing their memory and compute requirements. He has explored techniques like pruning neural network weights and reduced precision to achieve this goal. Previously, Sharan worked on next-generation mobile processors at NVIDIA.
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