2026 David Nellans: 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	35	11741	11406	4807	4599	61	4943

Overview

David Nellans is affiliated with Nvidia in the United States. Their research output spans multiple domains within computer science and engineering, focusing largely on topics related to advanced computing architectures and optimization techniques.

They have contributed to several recent publications, including:

"GPU Domain Specialization via Composable On-Package Architecture," 2021, ACM Transactions on Architecture and Code Optimization
"The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems," 2020, arXiv (Cornell University)
"GPU Domain Specialization via Composable On-Package Architecture," 2021, arXiv (Cornell University)
"Architectural Support for Optimizing Huge Page Selection Within the OS," 2023, Zenodo (CERN European Organization for Nuclear Research)

Their frequent co-authors include:

Yaosheng Fu
Evgeny Bolotin
Niladrish Chatterjee
Stephen W. Keckler
Ahmet Inci

David Nellans has contributed to publications most often appearing in the following venues:

arXiv (Cornell University)
ACM Transactions on Architecture and Code Optimization
Zenodo (CERN European Organization for Nuclear Research)

Their main fields of study are:

Computer Science
Engineering

More specialized subfields in their research are:

Electrical and Electronic Engineering
Computer Vision and Pattern Recognition
Artificial Intelligence
Hardware and Architecture
Signal Processing

Key topics covered in their work include:

Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Advanced Neural Network Applications
Reinforcement Learning in Robotics
Evolutionary Algorithms and Applications
Parallel Computing and Optimization Techniques
Advanced Malware Detection Techniques

Best Publications

Object-based memory storage

Anirudh Badam;David Nellans;Robert Wipfel

350
Citations
Micro-pages: increasing DRAM efficiency with locality-aware data placement

Kshitij Sudan;Niladrish Chatterjee;David Nellans;Manu Awasthi

299
Citations
Linux block IO: introducing multi-queue SSD access on multi-core systems

Matias Bjørling;Jens Axboe;David Nellans;Philippe Bonnet

259
Citations
Apparatus, system, and method for managing eviction of data

David Nellans;David Atkisson;Jim Peterson;Jeremy Garff

233
Citations
Beyond block I/O: Rethinking traditional storage primitives

Xiangyong Ouyang;David Nellans;Robert Wipfel;David Flynn

212
Citations
MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability

Akhil Arunkumar;Evgeny Bolotin;Benjamin Cho;Ugljesa Milic

199
Citations
Systems and methods for atomic storage

David Flynn;Robert Wipfel;David Nellans;John Strasser

197
Citations
Apparatus, system, and method for application direct virtual memory management

David Nellans;Robert Wipfel

184
Citations
Handling the problems and opportunities posed by multiple on-chip memory controllers

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

173
Citations
Preserving data of a volatile memory

David Flynn;David Nellans;John Strasser;James G. Peterson

169
Citations
Page Placement Strategies for GPUs within Heterogeneous Memory Systems

Neha Agarwal;David Nellans;Mark Stephenson;Mike O'Connor

169
Citations
Scaling the power wall: a path to exascale

Oreste Villa;Daniel R. Johnson;Mike O'Connor;Evgeny Bolotin

166
Citations
Systems and methods for persistent address space management

David Atkisson;David Nellans;David Flynn;Jens Axboe

153
Citations
NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs

Oreste Villa;Mark Stephenson;David Nellans;Stephen W. Keckler

151
Citations
Apparatus, system, and method for conditional and atomic storage operations

David Flynn;David Nellans;Xiangyong Shangyong Ouyang

148
Citations
Towards high performance paged memory for GPUs

Tianhao Zheng;David Nellans;Arslan Zulfiqar;Mark Stephenson

145
Citations
Nimble Page Management for Tiered Memory Systems

Zi Yan;Daniel Lustig;David Nellans;Abhishek Bhattacharjee

133
Citations
Flexible software profiling of GPU architectures

Mark Stephenson;Siva Kumar Sastry Hari;Yunsup Lee;Eiman Ebrahimi

121
Citations
Non-volatile memory interface

David Nellans;Robert Wipfel

116
Citations
Unlocking bandwidth for GPUs in CC-NUMA systems

Neha Agarwal;David Nellans;Mike O'Connor;Stephen W. Keckler

99
Citations

Frequent Co-Authors

Stephen W. Keckler Nvidia (United States)

Nisha Talagala Pyxeda AI

Rajeev Balasubramonian University of Utah

Thomas F. Wenisch University of Michigan–Ann Arbor

Aamer Jaleel Nvidia (United States)

Mattan Erez The University of Texas at Austin

Carole-Jean Wu Meta Platforms, Inc.

Puneet Gupta University of California, Los Angeles

Diana Marculescu The University of Texas at Austin

William J. Dally Nvidia (United Kingdom)

External Links

Personal website of David Nellans

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