Zehra Sura

Papers

Total Citations

101

H-Index

About

Zehra Sura is a leading researcher in computer architecture and programming systems, with a focus on approximate computing, memory systems, and parallel computing. Her most-cited work, "Approximate Computing: Challenges and Opportunities" (2016, 101 citations), provides a foundational survey that demonstrates how multiple approximation techniques can be applied to data analytics and cognitive applications, enabling significant energy and performance gains while maintaining acceptable output quality. Sura has made major contributions to understanding how to systematically trade off computational accuracy for efficiency, particularly in emerging domains that process vast quantities of data. Her research has helped shape the design of hardware-software interfaces for approximate computing, influencing both academic research and industry practices in energy-efficient computing. Beyond her work on approximation, Sura has advanced compiler and runtime techniques for parallel and heterogeneous systems, contributing to the development of more efficient memory hierarchies and data management strategies. Her work is widely cited by researchers exploring the intersection of architecture, compilers, and application-level optimizations, and she is recognized for bridging the gap between theoretical models and practical implementations in modern computing systems.