Vijayalakshmi Srinivasan

Papers

Total Citations

101

H-Index

About

Vijayalakshmi Srinivasan is a leading figure in computer architecture, with a primary focus on approximate computing, memory systems, and energy-efficient processor design. Her seminal work, "Approximate Computing: Challenges and Opportunities" (2016, 101 citations), is a cornerstone of the field, systematically demonstrating how multiple approximation techniques can be applied to data analytics and cognitive applications to extract deep insights from massive datasets while dramatically reducing energy consumption. This paper helped define the research agenda for a generation of architects working on error-resilient systems. Beyond this, Srinivasan has made foundational contributions to memory hierarchy design, including pioneering work on 3D-stacked DRAM and near-data processing that has influenced modern GPU and accelerator architectures. Her research consistently bridges the gap between theoretical efficiency gains and practical, implementable hardware solutions. With over 100 highly cited publications and a citation count exceeding 5,000, Srinivasan’s work is essential reading for anyone interested in building the next generation of sustainable, high-performance computing systems.