A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps. - Nandita Vijaykumar; Gennady Pekhimenko; Adwait Jog; Abhishek Bhowmick 002; Rachata Ausavarungnirun; Chita R. Das; Mahmut T. Kandemir; Todd C. Mowry; Onur Mutlu (ISCA, 2015)

ChargeCache: Reducing DRAM latency by exploiting row access locality. - Hasan Hassan; Gennady Pekhimenko; Nandita Vijaykumar; Vivek Seshadri; Donghyuk Lee; Oguz Ergin; Onur Mutlu (HPCA, 2016)

A case for toggle-aware compression for GPU systems. - Gennady Pekhimenko; Evgeny Bolotin; Nandita Vijaykumar; Onur Mutlu; Todd C. Mowry; Stephen W. Keckler (HPCA, 2016)

Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. - Kevin Hsieh; Samira Manabi Khan; Nandita Vijaykumar; Kevin K. Chang; Amirali Boroumand; Saugata Ghose; Onur Mutlu (ICCD, 2016)

Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. - Kevin Hsieh; Eiman Ebrahimi; Gwangsun Kim; Niladrish Chatterjee; Mike O'Connor; Nandita Vijaykumar; Onur Mutlu; Stephen W. Keckler (ISCA, 2016)

Zorua: A holistic approach to resource virtualization in GPUs. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Adwait Jog; Phillip B. Gibbons; Onur Mutlu (MICRO, 2016)

A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps. - Nandita Vijaykumar; Gennady Pekhimenko; Adwait Jog; Saugata Ghose; Abhishek Bhowmick 002; Rachata Ausavarungnirun; Chita R. Das; Mahmut T. Kandemir; Todd C. Mowry; Onur Mutlu (CoRR, 2016)

SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies. - Hasan Hassan; Nandita Vijaykumar; Samira Manabi Khan; Saugata Ghose; Kevin K. Chang; Gennady Pekhimenko; Donghyuk Lee; Oguz Ergin; Onur Mutlu (HPCA, 2017)

Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds. - Kevin Hsieh; Aaron Harlap; Nandita Vijaykumar; Dimitris Konomis; Gregory R. Ganger; Phillip B. Gibbons; Onur Mutlu (NSDI, 2017)

The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs. - Nandita Vijaykumar; Eiman Ebrahimi; Kevin Hsieh; Phillip B. Gibbons; Onur Mutlu (ISCA, 2018)

A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory. - Nandita Vijaykumar; Abhilasha Jain; Diptesh Majumdar; Kevin Hsieh; Gennady Pekhimenko; Eiman Ebrahimi; Nastaran Hajinazar; Phillip B. Gibbons; Onur Mutlu (ISCA, 2018)

Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Adwait Jog; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

SoftMC: Practical DRAM Characterization Using an FPGA-Based Infrastructure. - Hasan Hassan; Nandita Vijaykumar; Samira Manabi Khan; Saugata Ghose; Kevin K. Chang; Gennady Pekhimenko; Donghyuk Lee; Oguz Ergin; Onur Mutlu (CoRR, 2018)

Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency. - Hasan Hassan; Gennady Pekhimenko; Nandita Vijaykumar; Vivek Seshadri; Donghyuk Lee; Oguz Ergin; Onur Mutlu (CoRR, 2018)

EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization. - Bojian Zheng; Akshay Nair; Qiongsi Wu; Nandita Vijaykumar; Gennady Pekhimenko (CoRR, 2018)

CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability. - Hasan Hassan; Minesh Patel; Jeremie S. Kim; Abdullah Giray Yaglikçi; Nandita Vijaykumar; Nika Mansouri-Ghiasi; Saugata Ghose; Onur Mutlu (ISCA, 2019)

SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. - Konstantinos Kanellopoulos; Nandita Vijaykumar; Christina Giannoula; Roknoddin Azizi; Skanda Koppula; Nika Mansouri-Ghiasi; Taha Shahroodi; Juan Gómez-Luna; Onur Mutlu (MICRO, 2019)

Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions. - Nandita Vijaykumar (CoRR, 2019)

SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors. - Jawad Haj-Yahya; Mohammed Alser; Jeremie S. Kim; Abdullah Giray Yaglikçi; Nandita Vijaykumar; Efraim Rotem; Onur Mutlu (ISCA, 2020)

Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training. - Bojian Zheng; Nandita Vijaykumar; Gennady Pekhimenko (ISCA, 2020)

Rethinking Divide and Conquer - Towards Holistic Interfaces of the Computing Stack. - Schahram Dustdar; Onur Mutlu; Nandita Vijaykumar (IEEE Internet Comput., 2020)

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures. - Christina Giannoula; Nandita Vijaykumar; Nikela Papadopoulou; Vasileios Karakostas; Ivan Fernandez; Juan Gómez-Luna; Lois Orosa 001; Nectarios Koziris; Georgios I. Goumas; Onur Mutlu (HPCA, 2021)

QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips. - Ataberk Olgun; Minesh Patel; Abdullah Giray Yaglikçi; Haocong Luo; Jeremie S. Kim; Nisa Bostanci; Nandita Vijaykumar; Oguz Ergin; Onur Mutlu (ISCA, 2021)

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks. - Geraldo F. Oliveira; Juan Gómez-Luna; Lois Orosa 001; Saugata Ghose; Nandita Vijaykumar; Ivan Fernandez; Mohammad Sadrosadati; Onur Mutlu (IEEE Access, 2021)

VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. - Sankeerth Durvasula; Raymond Kiguru; Samarth Mathur; Jenny Xu; Jimmy Lin; Nandita Vijaykumar (PACT, 2022)

GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud. - Xiaodan Serina Tan; Pavel Golikov; Nandita Vijaykumar; Gennady Pekhimenko (PACT, 2022)

GenStore: a high-performance in-storage processing system for genome sequence analysis. - Nika Mansouri-Ghiasi; Jisung Park 001; Harun Mustafa; Jeremie S. Kim; Ataberk Olgun; Arvid Gollwitzer; Damla Senol Cali; Can Firtina; Haiyu Mao; Nour Almadhoun Alserr; Rachata Ausavarungnirun; Nandita Vijaykumar; et al. (ASPLOS, 2022)

CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture. - Ruofan Liang; Hongyi Sun; Nandita Vijaykumar (ICLR, 2022)

GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis. - Nika Mansouri-Ghiasi; Jisung Park 001; Harun Mustafa; Jeremie S. Kim; Ataberk Olgun; Arvid Gollwitzer; Damla Senol Cali; Can Firtina; Haiyu Mao; Nour Almadhoun Alserr; Rachata Ausavarungnirun; Nandita Vijaykumar; et al. (ISVLSI, 2022)

GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis. - Nika Mansouri-Ghiasi; Jisung Park 001; Harun Mustafa; Jeremie S. Kim; Ataberk Olgun; Arvid Gollwitzer; Damla Senol Cali; Can Firtina; Haiyu Mao; Nour Almadhoun Alserr; Rachata Ausavarungnirun; Nandita Vijaykumar; et al. (CoRR, 2022)

SPIDR: SDF-based Neural Point Fields for Illumination and Deformation. - Ruofan Liang; Jiahao Zhang; Haoda Li; Chen Yang 023; Nandita Vijaykumar (CoRR, 2022)

RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory. - Nika Mansouri-Ghiasi; Mohammad Sadrosadati; Geraldo F. Oliveira; Konstantinos Kanellopoulos; Rachata Ausavarungnirun; Juan Gómez-Luna; Aditya Manglik; João Dinis Ferreira; Jeremie S. Kim; Christina Giannoula; Nandita Vijaykumar; Jisung Park 001; et al. (CoRR, 2022)

Utopia: Efficient Address Translation using Hybrid Virtual-to-Physical Address Mapping. - Konstantinos Kanellopoulos; Rahul Bera; Kosta Stojiljkovic; Can Firtina; Rachata Ausavarungnirun; Nastaran Hajinazar; Jisung Park 001; Nandita Vijaykumar; Onur Mutlu (CoRR, 2022)

MetaSys: A Practical Open-source Metadata Management System to Implement and Evaluate Cross-layer Optimizations. - Nandita Vijaykumar; Ataberk Olgun; Konstantinos Kanellopoulos; F. Nisa Bostanci; Hasan Hassan; Mehrshad Lotfi; Phillip B. Gibbons; Onur Mutlu (ACM Trans. Archit. Code Optim., 2022)

ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting. - Ruofan Liang; Huiting Chen; Chunlin Li 014; Fan Chen; Selvakumar Panneer; Nandita Vijaykumar (ICCV, 2023)

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; Rachata Ausavarungnirun; Rakesh Kumar 003; Nastaran Hajinazar; Mohammad Sadrosadati; Nandita Vijaykumar; Onur Mutlu (MICRO, 2023)

Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (SIGMETRICS (Abstracts), 2023)

DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (CoRR, 2023)

Architectural Support for Efficient Data Movement in Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (CoRR, 2023)

EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception. - Sankeerth Durvasula; Yushi Guan; Nandita Vijaykumar (CoRR, 2023)

ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems. - Nika Mansouri-Ghiasi; Nandita Vijaykumar; Geraldo F. Oliveira; Lois Orosa 001; Ivan Fernandez; Mohammad Sadrosadati; Konstantinos Kanellopoulos; Nastaran Hajinazar; Juan Gómez-Luna; Onur Mutlu (IEEE Trans. Emerg. Top. Comput., 2023)

DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. - Christina Giannoula; Kailong Huang; Jonathan Tang; Nectarios Koziris; Georgios I. Goumas; Zeshan Chishti; Nandita Vijaykumar (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception. - Sankeerth Durvasula; Yushi Guan; Nandita Vijaykumar (IEEE Robotics Autom. Lett., 2023)

ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs. - Sankeerth Durvasula; Adrian Zhao; Raymond Kiguru; Yushi Guan; Zhonghan Chen; Nandita Vijaykumar (PACT, 2024)

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. - Ruofan Liang; Zan Gojcic; Merlin Nimier-David; David Acuna; Nandita Vijaykumar; Sanja Fidler; Zian Wang (ECCV (61), 2024)

Distributed Training of Neural Radiance Fields: A Performance Characterization. - Adrian Zhao; Louis Zhang; Sankeerth Durvasula; Fan Chen; Nilesh Jain; Selvakumar Panneer; Nandita Vijaykumar (ISPASS, 2024)

Proteus: Preserving Model Confidentiality during Graph Optimizations. - Yubo Gao; Maryam Haghifam; Christina Giannoula; Renbo Tu; Gennady Pekhimenko; Nandita Vijaykumar (MLSys, 2024)

DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines. - Sankeerth Durvasula; Adrian Zhao; Fan Chen; Ruofan Liang; Pawan Kumar Sanjaya; Nandita Vijaykumar (CoRR, 2024)

ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs. - Sankeerth Durvasula; Adrian Zhao; Raymond Kiguru; Yushi Guan; Zhonghan Chen; Nandita Vijaykumar (CoRR, 2024)

DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots. - Chunlin Li 014; Ruofan Liang; Hanrui Fan; Zhengen Zhang; Sankeerth Durvasula; Nandita Vijaykumar (CoRR, 2024)

INRet: A General Framework for Accurate Retrieval of INRs for Shapes. - Yushi Guan; Daniel Kwan; Ruofan Liang; Selvakumar Panneer; Nilesh Jain; Nilesh A. Ahuja; Nandita Vijaykumar (3DV, 2025)

ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering. - Sankeerth Durvasula; Adrian Zhao; Fan Chen; Ruofan Liang; Pawan Kumar Sanjaya; Yushi Guan; Christina Giannoula; Nandita Vijaykumar (ASPLOS (1), 2025)

Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation Methodology. - Konstantinos Kanellopoulos; Konstantinos Sgouras; F. Nisa Bostanci; Andreas Kosmas Kakolyris; Berkin Kerim Konar; Rahul Bera; Mohammad Sadrosadati; Rakesh Kumar 003; Nandita Vijaykumar; Onur Mutlu (ASPLOS (2), 2025)

Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models. - Ruofan Liang; Zan Gojcic; Huan Ling; Jacob Munkberg; Jon Hasselgren; Chih-Hao Lin; Jun Gao 004; Alexander Keller 001; Nandita Vijaykumar; Sanja Fidler; Zian Wang (CVPR, 2025)

Retri3D: 3D Neural Graphics Representation Retrieval. - Yushi Guan; Daniel Kwan; Jean Sebastien Dandurand; Xi Yan; Ruofan Liang; Yuxuan Zhang; Nilesh Jain; Nilesh A. Ahuja; Selvakumar Panneer; Nandita Vijaykumar (ICLR, 2025)

DPWatch: A Framework for Hardware-Based Differential Privacy Guarantees. - Pawan Kumar Sanjaya; Christina Giannoula; Ian Colbert; Ihab Amer; Mehdi Saeedi; Gabor Sines; Nandita Vijaykumar (IEEE Comput. Archit. Lett., 2025)

DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models. - Ruofan Liang; Zan Gojcic; Huan Ling; Jacob Munkberg; Jon Hasselgren; Zhi-Hao Lin; Jun Gao 004; Alexander Keller 001; Nandita Vijaykumar; Sanja Fidler; Zian Wang (CoRR, 2025)

DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots. - Chunlin Li 014; Hanrui Fan; Xiaorui Huang; Ruofan Liang; Sankeerth Durvasula; Nandita Vijaykumar (IEEE Robotics Autom. Lett., 2025)

Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor. - Rishit Dagli; Yushi Guan; Sankeerth Durvasula; Mohammadreza Mofayezi; Nandita Vijaykumar (CoRR, 2025)

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting. - Kai He; Ruofan Liang; Jacob Munkberg; Jon Hasselgren; Nandita Vijaykumar; Alexander Keller 001; Sanja Fidler; Igor Gilitschenski; Zan Gojcic; Zian Wang (CoRR, 2025)