Melih Elibol  

 



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 Melih Elibol is a Senior Research Scientist in Programming Systems and Applications research at NVIDIA. His research aims to improve the ease of expressing scalable high performance programs using modern programming tools, as well as considering how numerical optimization and machine learning may be applied toward addressing emerging challenges in this space. He completed his Ph.D. at the University of California, Berkeley and A.L.B. at Harvard University.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

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

 

 

  

 Main Field of Interest

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

 

  

 Google Scholar

<https://scholar.google.com/citations?user=MvYTnPoAAAAJ>

 

  

 

 

 



 ### Publications

 

### 2023 

[Legate Sparse: Distributed Sparse Computing in Python](/publication/2023-11_legate-sparse-distributed-sparse-computing-python)

Rohan Yadav, Wonchan Lee, [Melih Elibol](/person/melih-elibol), [Taylor Patti](/person/taylor-patti), Manolis Papadakis, [Michael Garland](/person/michael-garland), Alex Aiken, Fredrik Kjolstad, [Michael Bauer](/person/mike-bauer)



[Supercomputing](https://sc23.supercomputing.org/presentation/?id=pap119&sess=sess172)