Sana Damani  

 



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 Sana Damani joined NVIDIA Research in 2022 as a member of the Architecture Research Group. Her primary focus areas include compiler optimizations and hardware-software co-design. Before joining NVIDIA, she earned her PhD from the Georgia Institute of Technology, where her dissertation focused on optimized scheduling and allocation techniques for parallel architectures. She is also a recipient of the 2021 NVIDIA Graduate Fellowship.



   Research Area(s)

[Computer Architecture](/index.php/research-area/computer-architecture)

[Programming Languages, Systems and Tools](/index.php/research-area/programming-languages-systems)

 

 

  

 Main Field of Interest

[Programming Languages, Systems and Tools](/index.php/research-area/programming-languages-systems)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=iWmFNQEAAAAJ&hl=en&oi=ao](https://scholar.google.com/citations?user=iWmFNQEAAAAJ&hl=en&oi=ao)

 

  

 

 

 



 ### Publications

 

### 2023 

[cuCatch: A Debugging Tool for Efficiently Catching Memory Safety Violations in CUDA Applications](/index.php/publication/2023-06_cucatch-debugging-tool-efficiently-catching-memory-safety-violations-cuda)

[Mohamed Tarek Ibn Ziad](/index.php/person/mohamed-tarek-ibn-ziad), [Sana Damani](/index.php/person/sana-damani), [Aamer Jaleel](/index.php/person/aamer-jaleel), [Stephen W. Keckler](/index.php/person/stephen-keckler), [Mark Stephenson](/index.php/person/mark-stephenson)



[ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)](https://dl.acm.org/doi/10.1145/3591225)