Nandita Vijaykumar

85 papers A* 20B 4C 1Misc 1Journal 52Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CRAFT: Cost-aware Expert Replica Allocation with Fine-Grained Layerwise Estimations.
CoRR
Adrian Zhao, Zhenkun Cai, Zhenyu Song, Lingfan Yu, Haozheng Fan, Jun Wu, Yida Wang, Nandita Vijaykumar
2026 J jnl
LuxRemix: Lighting Decomposition and Remixing for Indoor Scenes.
CoRR
Ruofan Liang, Norman Müller, Ethan Weber, Duncan Zauss, Nandita Vijaykumar, Peter Kontschieder, Christian Richardt
2026 J jnl
MERG3R: A Divide-and-Conquer Approach to Large-Scale Neural Visual Geometry.
CoRR
Leo Kaixuan Cheng, Abdus Shaikh, Ruofan Liang, Zhijie Wu, Yushi Guan, Nandita Vijaykumar
2026 J jnl
TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models.
CoRR
Yushi Guan, Jeanine Ohene-Agyei, Daniel Kwan, Jean Sebastien Dandurand, Yifei Zhang, Nandita Vijaykumar
2025 — conf
ARC: Warp-level Adaptive Atomic Reduction in GPUs to Accelerate Differentiable Rendering.
ASPLOS (1)
Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Yushi Guan, Christina Giannoula, Nandita Vijaykumar
2025 J jnl
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization.
CoRR
Genghan Zhang, Shaowei Zhu, Anjiang Wei, Zhenyu Song, Allen Nie, Zhen Jia, Nandita Vijaykumar, Yida Wang, Kunle Olukotun
2025 J jnl
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction.
CoRR
Sankeerth Durvasula, Sharanshangar Muhunthan, Zain Moustafa, Richard Chen, Ruofan Liang, Yushi Guan, Nilesh A. Ahuja, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
2025 J jnl
DEQuify your force field: More efficient simulations using deep equilibrium models.
CoRR
Andreas Burger, Luca A. Thiede, Alán Aspuru-Guzik, Nandita Vijaykumar
2025 J jnl
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots.
IEEE Robotics Autom. Lett.
Chunlin Li, Hanrui Fan, Xiaorui Huang, Ruofan Liang, Sankeerth Durvasula, Nandita Vijaykumar
2025 J jnl
DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling.
CoRR
Yubo Gao, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
2025 J jnl
DPWatch: A Framework for Hardware-Based Differential Privacy Guarantees.
IEEE Comput. Archit. Lett.
Pawan Kumar Sanjaya, Christina Giannoula, Ian Colbert, Ihab Amer, Mehdi Saeedi, Gabor Sines, Nandita Vijaykumar
2025 A* conf
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models.
CVPR
Ruofan Liang, Zan Gojcic, Huan Ling, Jacob Munkberg, Jon Hasselgren, Chih-Hao Lin, Jun Gao, Alexander Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang
2025 J jnl
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models.
CoRR
Ruofan Liang, Zan Gojcic, Huan Ling, Jacob Munkberg, Jon Hasselgren, Zhi-Hao Lin, Jun Gao, Alexander Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang
2025 J jnl
FG-Attn: Leveraging Fine-Grained Sparsity In Diffusion Transformers.
CoRR
Sankeerth Durvasula, Kavya Sreedhar, Zain Moustafa, Suraj Kothawade, Ashish Gondimalla, Suvinay Subramanian, Narges Shahidi, Nandita Vijaykumar
2025 — conf
INRet: A General Framework for Accurate Retrieval of INRs for Shapes.
3DV
Yushi Guan, Daniel Kwan, Ruofan Liang, Selvakumar Panneer, Nilesh Jain, Nilesh A. Ahuja, Nandita Vijaykumar
2025 J jnl
INRet: A General Framework for Accurate Retrieval of INRs for Shapes.
CoRR
Yushi Guan, Daniel Kwan, Ruofan Liang, Selvakumar Panneer, Nilesh Jain, Nilesh A. Ahuja, Nandita Vijaykumar
2025 J jnl
LuxDiT: Lighting Estimation with Video Diffusion Transformer.
CoRR
Ruofan Liang, Kai He, Zan Gojcic, Igor Gilitschenski, Sanja Fidler, Nandita Vijaykumar, Zian Wang
2025 A* conf
Retri3D: 3D Neural Graphics Representation Retrieval.
ICLR
Yushi Guan, Daniel Kwan, Jean Sebastien Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh A. Ahuja, Selvakumar Panneer, Nandita Vijaykumar
2025 J jnl
Shoot from the HIP: Hessian Interatomic Potentials without derivatives.
CoRR
Andreas Burger, Luca A. Thiede, Nikolaj Rønne, Varinia Bernales, Nandita Vijaykumar, Tejs Vegge, Arghya Bhowmik, Alán Aspuru-Guzik
2025 J jnl
Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor.
CoRR
Rishit Dagli, Yushi Guan, Sankeerth Durvasula, Mohammadreza Mofayezi, Nandita Vijaykumar
2025 J jnl
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting.
CoRR
Kai He, Ruofan Liang, Jacob Munkberg, Jon Hasselgren, Nandita Vijaykumar, Alexander Keller, Sanja Fidler, Igor Gilitschenski, Zan Gojcic, Zian Wang
2025 — conf
Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation Methodology.
ASPLOS (2)
Konstantinos Kanellopoulos, Konstantinos Sgouras, F. Nisa Bostanci, Andreas Kosmas Kakolyris, Berkin Kerim Konar, Rahul Bera, Mohammad Sadrosadati, Rakesh Kumar, Nandita Vijaykumar, Onur Mutlu
2024 B conf
ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs.
PACT
Sankeerth Durvasula, Adrian Zhao, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar
2024 J jnl
ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs.
CoRR
Sankeerth Durvasula, Adrian Zhao, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar
2024 J jnl
DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots.
CoRR
Chunlin Li, Ruofan Liang, Hanrui Fan, Zhengen Zhang, Sankeerth Durvasula, Nandita Vijaykumar
2024 J jnl
DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines.
CoRR
Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Nandita Vijaykumar
2024 B conf
Distributed Training of Neural Radiance Fields: A Performance Characterization.
ISPASS
Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
2024 — conf
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering.
ECCV (61)
Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang
2024 J jnl
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering.
CoRR
Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang
2024 — conf
Proteus: Preserving Model Confidentiality during Graph Optimizations.
MLSys
Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
2024 J jnl
Proteus: Preserving Model Confidentiality during Graph Optimizations.
CoRR
Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
2023 J jnl
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems.
IEEE Trans. Emerg. Top. Comput.
Nika Mansouri-Ghiasi, Nandita Vijaykumar, Geraldo F. Oliveira, Lois Orosa, Ivan Fernandez, Mohammad Sadrosadati, Konstantinos Kanellopoulos, Nastaran Hajinazar, Juan Gómez-Luna, Onur Mutlu
2023 J jnl
Architectural Support for Efficient Data Movement in Disaggregated Systems.
CoRR
Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar
2023 — conf
Architectural Support for Efficient Data Movement in Fully Disaggregated Systems.
SIGMETRICS (Abstracts)
Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar
2023 J jnl
DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems.
CoRR
Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar
2023 J jnl
DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems.
Proc. ACM Meas. Anal. Comput. Syst.
Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar
2023 A* conf
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting.
ICCV
Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar
2023 J jnl
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting.
CoRR
Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar
2023 J jnl
Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception.
IEEE Robotics Autom. Lett.
Sankeerth Durvasula, Yushi Guan, Nandita Vijaykumar
2023 J jnl
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception.
CoRR
Sankeerth Durvasula, Yushi Guan, Nandita Vijaykumar
2023 A* conf
Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings.
MICRO
Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, F. Nisa Bostanci, Can Firtina, Rachata Ausavarungnirun, Rakesh Kumar, Nastaran Hajinazar, Mohammad Sadrosadati, Nandita Vijaykumar, Onur Mutlu
2022 J jnl
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems.
CoRR
Nika Mansouri-Ghiasi, Nandita Vijaykumar, Geraldo F. Oliveira, Lois Orosa, Ivan Fernandez, Mohammad Sadrosadati, Konstantinos Kanellopoulos, Nastaran Hajinazar, Juan Gómez-Luna, Onur Mutlu
2022 A* conf
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture.
ICLR
Ruofan Liang, Hongyi Sun, Nandita Vijaykumar
2022 J jnl
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture.
CoRR
Ruofan Liang, Hongyi Sun, Nandita Vijaykumar
2022 B conf
GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud.
PACT
Xiaodan Serina Tan, Pavel Golikov, Nandita Vijaykumar, Gennady Pekhimenko
2022 J jnl
GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis.
CoRR
Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu
2022 — conf
GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis.
ISVLSI
Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu
2022 A* conf
GenStore: a high-performance in-storage processing system for genome sequence analysis.
ASPLOS
Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu
2022 J jnl
MetaSys: A Practical Open-source Metadata Management System to Implement and Evaluate Cross-layer Optimizations.
ACM Trans. Archit. Code Optim.
Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos, F. Nisa Bostanci, Hasan Hassan, Mehrshad Lotfi, Phillip B. Gibbons, Onur Mutlu
2022 J jnl
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory.
CoRR
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, Onur Mutlu
2022 J jnl
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation.
CoRR
Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, Nandita Vijaykumar
2022 J jnl
Utopia: Efficient Address Translation using Hybrid Virtual-to-Physical Address Mapping.
CoRR
Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, Can Firtina, Rachata Ausavarungnirun, Nastaran Hajinazar, Jisung Park, Nandita Vijaykumar, Onur Mutlu
2022 B conf
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks.
PACT
Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar
2022 J jnl
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks.
CoRR
Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar
2021 J jnl
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks.
IEEE Access
Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu
2021 J jnl
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks.
CoRR
Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu
2021 J jnl
MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations.
CoRR
Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos, Nisa Bostanci, Hasan Hassan, Mehrshad Lotfi, Phillip B. Gibbons, Onur Mutlu
2021 A* conf
QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips.
ISCA
Ataberk Olgun, Minesh Patel, Abdullah Giray Yaglikçi, Haocong Luo, Jeremie S. Kim, Nisa Bostanci, Nandita Vijaykumar, Oguz Ergin, Onur Mutlu
2021 J jnl
QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips.
CoRR
Ataberk Olgun, Minesh Patel, Abdullah Giray Yaglikçi, Haocong Luo, Jeremie S. Kim, Nisa Bostanci, Nandita Vijaykumar, Oguz Ergin, Onur Mutlu
2021 A* conf
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures.
HPCA
Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu
2021 J jnl
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures.
CoRR
Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu
2020 A* conf
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training.
ISCA
Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko
2020 J jnl
Rethinking Divide and Conquer - Towards Holistic Interfaces of the Computing Stack.
IEEE Internet Comput.
Schahram Dustdar, Onur Mutlu, Nandita Vijaykumar
2020 A* conf
SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors.
ISCA
Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Efraim Rotem, Onur Mutlu
2020 J jnl
SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors.
CoRR
Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Efraim Rotem, Onur Mutlu
2019 A* conf
CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability.
ISCA
Hasan Hassan, Minesh Patel, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Nika Mansouri-Ghiasi, Saugata Ghose, Onur Mutlu
2019 J jnl
Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions.
CoRR
Nandita Vijaykumar
2019 A* conf
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations.
MICRO
Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu
2019 J jnl
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations.
CoRR
Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu
2018 A* conf
A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory.
ISCA
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance.
CoRR
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization.
CoRR
Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko
2018 J jnl
Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency.
CoRR
Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu
2018 J jnl
SoftMC: Practical DRAM Characterization Using an FPGA-Based Infrastructure.
CoRR
Hasan Hassan, Nandita Vijaykumar, Samira Manabi Khan, Saugata Ghose, Kevin K. Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu
2018 A* conf
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs.
ISCA
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management.
CoRR
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu
2017 Misc conf
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds.
NSDI
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
2017 A* conf
SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies.
HPCA
Hasan Hassan, Nandita Vijaykumar, Samira Manabi Khan, Saugata Ghose, Kevin K. Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu
2016 J jnl
A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps.
CoRR
Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Saugata Ghose, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu
2016 A* conf
A case for toggle-aware compression for GPU systems.
HPCA
Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler
2016 C conf
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation.
ICCD
Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
2016 A* conf
ChargeCache: Reducing DRAM latency by exploiting row access locality.
HPCA
Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu
2016 A* conf
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems.
ISCA
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
2016 A* conf
Zorua: A holistic approach to resource virtualization in GPUs.
MICRO
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
2015 A* conf
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps.
ISCA
Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu