SPEAKER

Niyati Shah

Niyati is a Senior Software Engineer and has been at Xilinx since 2013. She is part of the team developing Vivado Implementation software. As a part of the logic optimization team, Niyati develops algorithms to improve performance, reduce power consumption and improve resource utilization of applications targeted to Xilinx devices. She earned a Masters in Computer Engineering from the University of Toronto. When not working, Niyati enjoys reading, catching up on movies and traveling.

VIDEOS

VIDEO

"Compilers for adaptable compute acceleration" by Niyati Shah, Senior Software Engineer at Xilinx

"Compilers for adaptable compute acceleration" by Niyati Shah, Senior Software Engineer at Xilinx
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VIDEO

Girl Geek X Xilinx Lightning Talks and Executive Panel

Eva Condron-Wells (Xilinx Senior HR Manager) warmly welcomed the crowd of close to a hundred girl geeks gathered at Xilinx's San Jose headquarters for dinner, demos, networking and talks on March 12, 2019. “Lightning Talks” were led by Niyati Shah (Xilinx Senior Engineer) on Compilers for adaptable compute acceleration, Changyi Su (Xilinx Staff Engineer) on machine learning platforms, and Uma Madhugiri (Xilinx Senior Engineer) on real-time video transcoding. The final portion of the talk was executive panel discussion on Accelerating Computation for Real-Time Machine Learning featuring: Jayashree Rangarajan (Xilinx Senior Director, Software Development), Jennifer Wong (Xilinx Vice President, FPGA Product Development), Ambs Kesavan (Xilinx Senior Director, Software Infrastructure Engineering & DevOps), Lori Pouquette (Xilinx Vice President, Global Customer Operations) and Tom Wurtz as the panel moderator.
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