Joined Harvard’s Kempner Institute
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Started my new role as Senior ML Research Engineer at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
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news
Obtained NVIDIA Certification in Data Parallelism
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I’m happy to share that I’ve obtained a new certification: Data Parallelism: How to Train Deep Learning Models on Multiple GPUs from NVIDIA!
Benchmarking NVIDIA HPC Workloads on the Kempner AI Cluster is now available
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I’ve published a comprehensive benchmarking study evaluating the NVIDIA HPC workloads on the Kempner AI Cluster. The study covers HPL, HPL-MxP, HPCG, and STREAM benchmarks across multiple GPU configurations.
The compute handbook accepts contributions from the community
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We’re excited to announce that the Kempner Computing Handbook is now open for contributions from the community!
portfolio
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publications
Evaluation of the southern California seismic velocity models through simulation of recorded events
Published in Geophysical Journal International, 2016
This study compares seismic velocity models for southern California, focusing on CVM-S, CVM-H, and their variations. Using simulations of 30 moderate earthquakes (1998–2014) against observed data, results show that CVM-S4.26 provides the most accurate predictions of ground motion in the Los Angeles region.
Recommended citation: Ricardo Taborda, Shima Azizzadeh-Roodpish, Naeem Khoshnevis, Keli Cheng, Evaluation of the southern California seismic velocity models through simulation of recorded events, Geophysical Journal International, Volume 205, Issue 3, June 2016, Pages 1342–1364, https://doi.org/10.1093/gji/ggw085
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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