Nandita Vijaykumar

According to our database, Nandita Vijaykumar authored at least 47 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Chunlin Li, Ruofan Liang, Hanrui Fan, Zhengen Zhang, Sankeerth Durvasula, 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

DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines.

Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Nandita Vijaykumar

CoRR, 2024

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., June, 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., March, 2023

ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems.

Nika Mansouri-Ghiasi, Nandita Vijaykumar, Geraldo F. Oliveira, Lois Orosa, Ivan Fernandez, Mohammad Sadrosadati, Konstantinos Kanellopoulos, Nastaran Hajinazar, Juan Gómez-Luna, Onur Mutlu

IEEE Trans. Emerg. Top. Comput., 2023

EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception.

Sankeerth Durvasula, Yushi Guan, 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

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 Fully Disaggregated Systems.

Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar

Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 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, Nastaran Hajinazar, Mohammad Sadrosadati, Nandita Vijaykumar, Onur Mutlu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting.

Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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, Nandita Vijaykumar, Onur Mutlu

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, Onur Mutlu

CoRR, 2022

SPIDR: SDF-based Neural Point Fields for Illumination and Deformation.

Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, Nandita Vijaykumar

CoRR, 2022

GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis.

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

CoRR, 2022

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

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

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture.

Ruofan Liang, Hongyi Sun, Nandita Vijaykumar

Proceedings of the Tenth International Conference on Learning Representations, 2022

GenStore: a high-performance in-storage processing system for genome sequence analysis.

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

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud.

Xiaodan Serina Tan, Pavel Golikov, Nandita Vijaykumar, Gennady Pekhimenko

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks.

Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks.

Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu

IEEE Access, 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

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures.

Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Rethinking Divide and Conquer - Towards Holistic Interfaces of the Computing Stack.

Schahram Dustdar, Onur Mutlu, Nandita Vijaykumar

IEEE Internet Comput., 2020

Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training.

Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions.

Nandita Vijaykumar

CoRR, 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

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

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

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization.

Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko

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

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

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

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

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

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

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

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

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

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

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

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

2016

A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps.

Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Saugata Ghose, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu

CoRR, 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

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 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

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 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

Proceedings of the 34th IEEE International Conference on Computer Design, 2016

A case for toggle-aware compression for GPU systems.

Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

ChargeCache: Reducing DRAM latency by exploiting row access locality.

Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

2015

A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps.

Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015