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Nandita Vijaykumar
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2020 – today
- 2024
- [c28]Sankeerth Durvasula
, Adrian Zhao
ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs. PACT 2024: 258-270 - [c27]Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang:
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. ECCV (61) 2024: 446-465 - [c26]Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar:
Distributed Training of Neural Radiance Fields: A Performance Characterization. ISPASS 2024: 319-321 - [c25]Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar:
Proteus: Preserving Model Confidentiality during Graph Optimizations. MLSys 2024 - [i29]Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Nandita Vijaykumar:
DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines. CoRR abs/2401.05345 (2024) - [i28]Sankeerth Durvasula, Adrian Zhao, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar:
ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs. CoRR abs/2401.12377 (2024) - [i27]Chunlin Li, Ruofan Liang, Hanrui Fan, Zhengen Zhang, Sankeerth Durvasula, Nandita Vijaykumar:
DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots. CoRR abs/2403.00228 (2024) - [i26]Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar:
Proteus: Preserving Model Confidentiality during Graph Optimizations. CoRR abs/2404.12512 (2024) - [i25]Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang:
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. CoRR abs/2408.09702 (2024) - 2023
- [j6]Christina Giannoula
DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 16:1-16:36 (2023) - [j5]Sankeerth Durvasula
Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception. IEEE Robotics Autom. Lett. 8(6): 3174-3181 (2023) - [j4]Nika Mansouri-Ghiasi
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems. IEEE Trans. Emerg. Top. Comput. 11(2): 388-403 (2023) - [c24]Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar:
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting. ICCV 2023: 79-89 - [c23]Konstantinos Kanellopoulos
Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings. MICRO 2023: 1196-1212 - [c22]Christina Giannoula
Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. SIGMETRICS (Abstracts) 2023: 5-6 - [i24]Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar:
DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems. CoRR abs/2301.00414 (2023) - [i23]Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar:
Architectural Support for Efficient Data Movement in Disaggregated Systems. CoRR abs/2301.09674 (2023) - [i22]Sankeerth Durvasula, Yushi Guan, Nandita Vijaykumar:
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception. CoRR abs/2303.04670 (2023) - [i21]Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar:
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting. CoRR abs/2303.13022 (2023) - 2022
- [j3]Nandita Vijaykumar, Ataberk Olgun
MetaSys: A Practical Open-source Metadata Management System to Implement and Evaluate Cross-layer Optimizations. ACM Trans. Archit. Code Optim. 19(2): 26:1-26:29 (2022) - [c21]Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar:
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. PACT 2022: 239-251 - [c20]Xiaodan Serina Tan, Pavel Golikov, Nandita Vijaykumar, Gennady Pekhimenko:
GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud. PACT 2022: 317-332 - [c19]Nika Mansouri-Ghiasi, Jisung Park
GenStore: a high-performance in-storage processing system for genome sequence analysis. ASPLOS 2022: 635-654 - [c18]Ruofan Liang, Hongyi Sun, Nandita Vijaykumar:
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture. ICLR 2022 - [c17]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer
GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis. ISVLSI 2022: 283-287 - [i20]Ruofan Liang, Hongyi Sun, Nandita Vijaykumar:
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture. CoRR abs/2201.12425 (2022) - [i19]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:
GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis. CoRR abs/2202.10400 (2022) - [i18]Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, Nandita Vijaykumar:
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation. CoRR abs/2210.08398 (2022) - [i17]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:
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory. CoRR abs/2210.08508 (2022) - [i16]Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, Jenny Xu, Jimmy Lin, Nandita Vijaykumar:
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. CoRR abs/2210.08729 (2022) - [i15]Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, Can Firtina, Rachata Ausavarungnirun, Nastaran Hajinazar, Jisung Park, Nandita Vijaykumar, Onur Mutlu:
Utopia: Efficient Address Translation using Hybrid Virtual-to-Physical Address Mapping. CoRR abs/2211.12205 (2022) - [i14]Nika Mansouri-Ghiasi, Nandita Vijaykumar, Geraldo F. Oliveira, Lois Orosa
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems. CoRR abs/2212.06292 (2022) - 2021
- [j2]Geraldo F. Oliveira
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks. IEEE Access 9: 134457-134502 (2021) - [c16]Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures. HPCA 2021: 263-276 - [c15]Ataberk Olgun, Minesh Patel, Abdullah Giray Yaglikçi, Haocong Luo, Jeremie S. Kim, Nisa Bostanci, Nandita Vijaykumar, Oguz Ergin
QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips. ISCA 2021: 944-957 - [i13]Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu:
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures. CoRR abs/2101.07557 (2021) - [i12]Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu:
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks. CoRR abs/2105.03725 (2021) - [i11]Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos, Nisa Bostanci, Hasan Hassan, Mehrshad Lotfi, Phillip B. Gibbons, Onur Mutlu:
MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations. CoRR abs/2105.08123 (2021) - [i10]Ataberk Olgun, Minesh Patel, Abdullah Giray Yaglikçi, Haocong Luo, Jeremie S. Kim, Nisa Bostanci, Nandita Vijaykumar, Oguz Ergin, Onur Mutlu:
QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips. CoRR abs/2105.08955 (2021) - 2020
- [j1]Schahram Dustdar
Rethinking Divide and Conquer - Towards Holistic Interfaces of the Computing Stack. IEEE Internet Comput. 24(6): 45-57 (2020) - [c14]Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Efraim Rotem, Onur Mutlu:
SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors. ISCA 2020: 227-240 - [c13]Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko:
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training. ISCA 2020: 1089-1102 - [i9]Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Efraim Rotem, Onur Mutlu:
SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors. CoRR abs/2005.07613 (2020)
2010 – 2019
- 2019
- [c12]Hasan Hassan, Minesh Patel, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Nika Mansouri-Ghiasi, Saugata Ghose, Onur Mutlu:
CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability. ISCA 2019: 129-142 - [c11]Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu:
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. MICRO 2019: 600-614 - [i8]Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu:
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. CoRR abs/1910.10776 (2019) - [i7]Nandita Vijaykumar:
Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions. CoRR abs/1911.05660 (2019) - 2018
- [c10]Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh
A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory. ISCA 2018: 207-220 - [c9]Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs. ISCA 2018: 829-842 - [i6]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu:
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management. CoRR abs/1802.02573 (2018) - [i5]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu:
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. CoRR abs/1805.02498 (2018) - [i4]Hasan Hassan, Nandita Vijaykumar, Samira Manabi Khan, Saugata Ghose, Kevin K. Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu:
SoftMC: Practical DRAM Characterization Using an FPGA-Based Infrastructure. CoRR abs/1805.03195 (2018) - [i3]Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu:
Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency. CoRR abs/1805.03969 (2018) - [i2]Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko:
EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization. CoRR abs/1805.08899 (2018) - 2017
- [c8]Hasan Hassan, Nandita Vijaykumar, Samira Manabi Khan, Saugata Ghose, Kevin K. Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin
SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies. HPCA 2017: 241-252 - [c7]Kevin Hsieh
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds. NSDI 2017: 629-647 - 2016
- [c6]Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler:
A case for toggle-aware compression for GPU systems. HPCA 2016: 188-200 - [c5]Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin
ChargeCache: Reducing DRAM latency by exploiting row access locality. HPCA 2016: 581-593 - [c4]Kevin Hsieh
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. ICCD 2016: 25-32 - [c3]Kevin Hsieh
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA 2016: 204-216 - [c2]Nandita Vijaykumar, Kevin Hsieh
Zorua: A holistic approach to resource virtualization in GPUs. MICRO 2016: 15:1-15:14 - [i1]Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Saugata Ghose, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu:
A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps. CoRR abs/1602.01348 (2016) - 2015
- [c1]Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu:
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps. ISCA 2015: 41-53
Coauthor Index
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last updated on 2024-12-11 20:44 CET by the dblp team
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