Zehra Sura -

Registered user since Wed 15 Feb 2017

Name:Zehra Sura

Bio:

I work in systems and applied machine learning at Bloomberg LP in New York. Prior to this, I was a Research Scientist at the IBM T.J. Watson Lab in NY from 2004 to 2019. I received my PhD in Computer Science in 2004 from the University of Illinois at Urbana-Champaign.

My current work focuses on systems and architecture for machine learning. I am interested in applying machine learning techniques to improve systems, as well as building systems to accelerate machine learning applications. I have expertise in compilers and optimizations for high performance computing, multithreading, and memory access optimizations for emerging systems, including heterogeneous and accelerator-based systems.

Country:United States

Affiliation:Bloomberg LP

Personal website:https://www.linkedin.com/in/zehra-sura-8480771/

Research interests:Compilers, Architecture, Programming Models

Contributions

PPoPP 2022	Publicity Co-Chair (America) in Organizing Committee Committee Member in Program Committee
CGO 2021	Committee Member in Program Committee within the Main Conference-track
PPoPP 2021	Publicity Co-Chair (America) in Organizing Committee
PPoPP 2020	Committee Member in Program Committee
SPLASH 2018	Author of An Empirical Study of the Effect of Source-level Loop Transformations on Compiler Stability within the Posters-track Author of An Empirical Study of the Effect of Source-level Loop Transformations on Compiler Stability within the OOPSLA-track
DLS 2017	Committee Member in Program Committee within the DLS 2017-track