Sotabase

Career

· Software Engineer In The HW-SW Co-Design Team, Meta2025–
· Infrastructure Performance And Development Engineer, NVIDIA2024–2025
· Senior Staff Machine Learning Engineer, Cruise2023–2024
· Applied Research Scientist - Technical Lead For The Machine Learning Training Platform Team, Facebook2017–2023
· Senior Software Engineer, Google2012–2017
· Software Engineering Intern, Intel Labs2011–2011
· Software Engineering Intern, Qualcomm2010–2010
· Software Engineering Intern, Samsung Information Systems America2009–2010
· Software Engineering Intern, Cadence Design Systems2008–2008
· Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, University of California, Berkeley2007–2012

Publications (30)

Scaling Distributed Machine Learning with the Parameter Server
USENIX Symposium on Operating Systems Design and Implementation · 2014
1,881
cited
clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs
International Conference on Supercomputing · 2012
148
cited
Efficient, high-quality image contour detection
IEEE International Conference on Computer Vision · 2009
143
cited
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems
arXiv.org · 2020
103
cited
Llama-Nemotron: Efficient Reasoning Models
arXiv.org · 2025
55
cited
Parallelizing CAD: A timely research agenda for EDA
2008 45th ACM/IEEE Design Automation Conference · 2008
49
cited
Routability-driven analytical placement by net overlapping removal for large-scale mixed-size designs
2008 45th ACM/IEEE Design Automation Conference · 2008
45
cited
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Conference on Machine Learning and Systems · 2020
41
cited
Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford
IEEE Micro · 2010
32
cited
Robust Large-Scale Machine Learning in the Cloud
Knowledge Discovery and Data Mining · 2016
21
cited
An optimal jumper insertion algorithm for antenna avoidance/fixing on general routing trees with obstacles
ACM International Symposium on Physical Design · 2006
18
cited
Pretraining Large Language Models with NVFP4
arXiv.org · 2025
15
cited
An exact jumper insertion algorithm for antenna effect avoidance/fixing
Proceedings - Design Automation Conference · 2005
11
cited
Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters
Knowledge Discovery and Data Mining · 2021
9
cited
Parallel BFS graph traversal on images using structured grid
2010 IEEE International Conference on Image Processing · 2010
9
cited
Barrier Synchronization Pattern
2009
8
cited
Considerations When Evaluating Microprocessor Platforms
USENIX Conference on Hot Topics in Parallelism · 2011
8
cited
Parallel Application Library for Object Recognition
2012
8
cited
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
arXiv.org · 2020
8
cited
An Exact Jumper-Insertion Algorithm for Antenna Violation Avoidance/Fixing Considering Routing Obstacles
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2007
5
cited
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Bor-Yiing Su | Researcher Profile | Sotabase | Sotabase