T. N. Vijaykumar

T. N. Vijaykumar

Purdue University

H-index: 63

North America-United States

About T. N. Vijaykumar

T. N. Vijaykumar, With an exceptional h-index of 63 and a recent h-index of 31 (since 2020), a distinguished researcher at Purdue University, specializes in the field of computer architecture, computer networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

QED: Scalable Verification of Hardware Memory Consistency

DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots

ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs

Proteus: Preserving Model Confidentiality during Graph Optimizations

Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference

Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception

Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings

DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems

T. N. Vijaykumar Information

University

Position

Professor of ECE

Citations(all)

15402

Citations(since 2020)

3664

Cited By

13592

hIndex(all)

63

hIndex(since 2020)

31

i10Index(all)

104

i10Index(since 2020)

61

Email

University Profile Page

Google Scholar

T. N. Vijaykumar Skills & Research Interests

computer architecture

computer networks

Top articles of T. N. Vijaykumar

Title

Journal

Author(s)

Publication Date

QED: Scalable Verification of Hardware Memory Consistency

arXiv preprint arXiv:2404.03113

Gokulan Ravi

Xiaokang Qiu

Mithuna Thottethodi

TN Vijaykumar

2024/4/3

DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots

arXiv preprint arXiv:2403.00228

Chunlin Li

Ruofan Liang

Hanrui Fan

Zhengen Zhang

Sankeerth Durvasula

...

2024/3/1

ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs

arXiv preprint arXiv:2401.12377

Sankeerth Durvasula

Adrian Zhao

Raymond Kiguru

Yushi Guan

Zhonghan Chen

...

2024/1/22

Proteus: Preserving Model Confidentiality during Graph Optimizations

arXiv preprint arXiv:2404.12512

Yubo Gao

Maryam Haghifam

Christina Giannoula

Renbo Tu

Gennady Pekhimenko

...

2024/4/18

Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference

arXiv preprint arXiv:2404.04708

Mingxuan He

Mithuna Thottethodi

TN Vijaykumar

2024/4/6

Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception

IEEE Robotics and Automation Letters

Sankeerth Durvasula

Yushi Guan

Nandita Vijaykumar

2023/3/20

Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings

Konstantinos Kanellopoulos

Rahul Bera

Kosta Stojiljkovic

F Nisa Bostanci

Can Firtina

...

2023/10/28

DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Christina Giannoula

Kailong Huang

Jonathan Tang

Nectarios Koziris

Georgios Goumas

...

2023/2/28

INRet: A General Framework for Accurate Retrieval of INRs for Shapes

Gavin Guan

Yuchen Chen

Haoze Deng

Daniel Kwan

Ruofan Liang

...

2023/10/13

Envidr: Implicit differentiable renderer with neural environment lighting

Ruofan Liang

Huiting Chen

Chunlin Li

Fan Chen

Selvakumar Panneer

...

2023

HIWE: Scene Importance Weighted Encoding For Fast Neural Radiance Field Training

Sankeerth Durvasula

Shorya Kumar

Ruofan Liang

Mohannad Shehata

Selvakumar Panneer

...

2023/10/13

DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines

arXiv preprint arXiv:2401.05345

Sankeerth Durvasula

Adrian Zhao

Fan Chen

Ruofan Liang

Pawan Kumar Sanjaya

...

2023/12/1

Architectural Support for Efficient Data Movement in Fully Disaggregated Systems

ACM SIGMETRICS Performance Evaluation Review

Christina Giannoula

Kailong Huang

Jonathan Tang

Nectarios Koziris

Georgios Goumas

...

2023/6/19

Eureka: Efficient Tensor Cores for One-sided Unstructured Sparsity in DNN Inference

Ashish Gondimalla

Mithuna Thottethodi

TN Vijaykumar

2023/10/28

SafeBet: Secure, Simple, and Fast Speculative Execution

arXiv preprint arXiv:2306.07785

Conor Green

Cole Nelson

Mithuna Thottethodi

TN Vijaykumar

2023/6/13

Session details: Session 3B: GPUs

Nandita Vijaykumar

Sabrina Neuman

2023/10/28

Method for secure, simple, and fast speculative execution

2022/11/24

Coordx: Accelerating implicit neural representation with a split mlp architecture

arXiv preprint arXiv:2201.12425

Ruofan Liang

Hongyi Sun

Nandita Vijaykumar

2022/1/28

GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis

Nika Mansouri Ghiasi

Jisung Park

Harun Mustafa

Jeremie Kim

Ataberk Olgun

...

2022/7/4

RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory

arXiv preprint arXiv:2210.08508

Nika Mansouri Ghiasi

Mohammad Sadrosadati

Geraldo F Oliveira

Konstantinos Kanellopoulos

Rachata Ausavarungnirun

...

2022/10/16

See List of Professors in T. N. Vijaykumar University(Purdue University)