2026 Rajeev Balasubramonian: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6084	5910	2739	2641	122	12104

Research.com Recognitions

2021 - IEEE Fellow For contributions to in-memory computation and memory interface design

Overview

Rajeev Balasubramonian is affiliated with the University of Utah in the United States. Their research spans multiple fields within computer science and engineering, with particular emphasis on areas such as cryptography, data security, semiconductor materials, and advanced memory technologies.

The main fields of study related to their work include:

Computer Science
Engineering

They have contributed to several subfields, notably:

Electrical and Electronic Engineering
Artificial Intelligence
Computational Theory and Mathematics
Molecular Biology
Communication

Key topics of Rajeev Balasubramonian's research cover:

Cryptography and Data Security
Complexity and Algorithms in Graphs
Semiconductor Materials and Devices
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Quantum-Dot Cellular Automata
Neural Networks and Reservoir Computing

Their recent publications demonstrate a focus on emerging computing technologies, memory architectures, and secure data processing. Notable papers include:

"Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion," 2022, IEEE Micro
"Efficient Oblivious Query Processing for Range and kNN Queries," 2021, IEEE Transactions on Knowledge and Data Engineering
"A Multiply-and-Accumulate Array for Machine Learning Applications Based on a 3D Nanofabric Flow," 2021, IEEE Transactions on Nanotechnology
"XCRYPT: Accelerating Lattice-Based Cryptography With Memristor Crossbar Arrays," 2023, IEEE Micro
"Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract)," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Frequent co-authors with whom they have collaborated include:

Zhao Chang
Dong Xie
Feifei Li
Jeff M. Phillips
Elaine Shi

Rajeev Balasubramonian has published multiple papers in recognized venues such as:

IEEE Micro
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Nanotechnology
2022 IEEE 38th International Conference on Data Engineering (ICDE)

They were recognized as an IEEE Fellow in 2021 for contributions to in-memory computation and memory interface design.

Best Publications

ISAAC: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars

Ali Shafiee;Anirban Nag;Naveen Muralimanohar;Rajeev Balasubramonian

1682
Citations
CACTI 6.0: A Tool to Model Large Caches

Naveen Muralimanohar;Rajeev Balasubramonian;Norman P. Jouppi

1073
Citations
Optimizing NUCA Organizations and Wiring Alternatives for Large Caches with CACTI 6.0

Naveen Muralimanohar;Rajeev Balasubramonian;Norm Jouppi

778
Citations
Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures

Rajeev Balasubramonian;David Albonesi;Alper Buyuktosunoglu;Sandhya Dwarkadas

576
Citations
Energy-efficient processor design using multiple clock domains with dynamic voltage and frequency scaling

G. Semeraro;G. Magklis;R. Balasubramonian;D.H. Albonesi

571
Citations
CACTI 7: New Tools for Interconnect Exploration in Innovative Off-Chip Memories

Rajeev Balasubramonian;Andrew B. Kahng;Naveen Muralimanohar;Ali Shafiee

478
Citations
Overcoming the challenges of crossbar resistive memory architectures

Cong Xu;Dimin Niu;Naveen Muralimanohar;Rajeev Balasubramonian

371
Citations
Rethinking DRAM design and organization for energy-constrained multi-cores

Aniruddha N. Udipi;Naveen Muralimanohar;Niladrish Chatterjee;Rajeev Balasubramonian

348
Citations
Reducing the complexity of the register file in dynamic superscalar processors

Rajeev Balasubramonian;Sandhya Dwarkadas;David H. Albonesi

317
Citations
NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads

Seth H. Pugsley;Jeffrey Jestes;Huihui Zhang;Rajeev Balasubramonian

311
Citations
Micro-pages: increasing DRAM efficiency with locality-aware data placement

Kshitij Sudan;Niladrish Chatterjee;David Nellans;Manu Awasthi

299
Citations
Near-Data Processing: Insights from a MICRO-46 Workshop

Rajeev Balasubramonian;Jichuan Chang;Troy Manning;Jaime H. Moreno

290
Citations
Dynamically tuning processor resources with adaptive processing

D.H. Albonesi;R. Balasubramonian;S.G. Dropsbo;S. Dwarkadas

205
Citations
Multiple clock domain microprocessor

David Albonesi;Greg Semeraro;Grigorios Magklis;Michael L. Scott

201
Citations
Leveraging 3D Technology for Improved Reliability

Niti Madan;Rajeev Balasubramonian

199
Citations
Efficiently prefetching complex address patterns

Manjunath Shevgoor;Sahil Koladiya;Rajeev Balasubramonian;Chris Wilkerson

197
Citations
CHOP: Adaptive filter-based DRAM caching for CMP server platforms

Xiaowei Jiang;Niti Madan;Li Zhao;Mike Upton

196
Citations
Dynamically managing the communication-parallelism trade-off in future clustered processors

Rajeev Balasubramonian;Sandhya Dwarkadas;David H. Albonesi

182
Citations
Handling the problems and opportunities posed by multiple on-chip memory controllers

Manu Awasthi;David W. Nellans;Kshitij Sudan;Rajeev Balasubramonian

173
Citations
Integrating adaptive on-chip storage structures for reduced dynamic power

S. Dropsho;A. Buyuktosunoglu;R. Balasubramonian;D.H. Albonesi

169
Citations

Frequent Co-Authors

Naveen Muralimanohar Google (United States)

Sandhya Dwarkadas University of Rochester

David H. Albonesi Cornell University

David Nellans Nvidia (United States)

Norman P. Jouppi Google (United States)

Alper Buyuktosunoglu IBM (United States)

Michael L. Scott University of Rochester

Feifei Li Alibaba Group (China)

Pierre-Emmanuel Gaillardon University of Utah

Yan Solihin University of Central Florida

External Links

Personal website of Rajeev Balasubramonian Google Scholar page

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