Nandita Vijaykumar
Nandita Vijaykumar
Assistant Professor, University of Toronto
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Gaia: Geo-distributed machine learning approaching {LAN} speeds
K Hsieh, A Harlap, N Vijaykumar, D Konomis, GR Ganger, PB Gibbons, ...
14th {USENIX} Symposium on Networked Systems Design and Implementation …, 2017
2222017
Transparent offloading and mapping (TOM) enabling programmer-transparent near-data processing in GPU systems
K Hsieh, E Ebrahimi, G Kim, N Chatterjee, M O'Connor, N Vijaykumar, ...
ACM SIGARCH Computer Architecture News 44 (3), 204-216, 2016
1732016
ChargeCache: Reducing DRAM latency by exploiting row access locality
H Hassan, G Pekhimenko, N Vijaykumar, V Seshadri, D Lee, O Ergin, ...
2016 IEEE International Symposium on High Performance Computer Architecture …, 2016
1312016
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation
K Hsieh, S Khan, N Vijaykumar, KK Chang, A Boroumand, S Ghose, ...
2016 IEEE 34th International Conference on Computer Design (ICCD), 25-32, 2016
1272016
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps
N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ...
ACM SIGARCH Computer Architecture News 43 (3S), 41-53, 2015
1032015
SoftMC: A flexible and practical open-source infrastructure for enabling experimental DRAM studies
H Hassan, N Vijaykumar, S Khan, S Ghose, K Chang, G Pekhimenko, ...
2017 IEEE International Symposium on High Performance Computer Architecture …, 2017
932017
A case for toggle-aware compression for GPU systems
G Pekhimenko, E Bolotin, N Vijaykumar, O Mutlu, TC Mowry, SW Keckler
2016 IEEE International Symposium on High Performance Computer Architecture …, 2016
692016
Zorua: A holistic approach to resource virtualization in GPUs
N Vijaykumar, K Hsieh, G Pekhimenko, S Khan, A Shrestha, S Ghose, ...
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016
582016
The locality descriptor: A holistic cross-layer abstraction to express data locality in GPUs
N Vijaykumar, E Ebrahimi, K Hsieh, PB Gibbons, O Mutlu
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
382018
A case for richer cross-layer abstractions: Bridging the semantic gap with expressive memory
N Vijaykumar, A Jain, D Majumdar, K Hsieh, G Pekhimenko, E Ebrahimi, ...
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
282018
CROW: A low-cost substrate for improving DRAM performance, energy efficiency, and reliability
H Hassan, M Patel, JS Kim, AG Yaglikci, N Vijaykumar, NM Ghiasi, ...
Proceedings of the 46th International Symposium on Computer Architecture …, 2019
202019
Smash: Co-designing software compression and hardware-accelerated indexing for efficient sparse matrix operations
K Kanellopoulos, N Vijaykumar, C Giannoula, R Azizi, S Koppula, ...
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
182019
A case for core-assisted bottleneck acceleration in gpus: Enabling efficient data compression
N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ...
ISCA, 2015
122015
A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps
N Vijaykumar, G Pekhimenko, A Jog, S Ghose, A Bhowmick, ...
arXiv preprint arXiv:1602.01348, 2016
82016
SysScale: Exploiting multi-domain dynamic voltage and frequency scaling for energy efficient mobile processors
J Haj-Yahya, M Alser, J Kim, AG Yağlıkçı, N Vijaykumar, E Rotem, O Mutlu
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
62020
EcoRNN: Efficient computing of LSTM RNN training on gpus
B Zheng, A Tiwari, N Vijaykumar, G Pekhimenko
arXiv preprint arXiv:1805.08899, 2018
52018
Echo: Compiler-based GPU memory footprint reduction for LSTM RNN training
B Zheng, N Vijaykumar, G Pekhimenko
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
42020
EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization [J]
B Zheng, A Nair, Q Wu, N Vijaykumar, G Pekhimenko
arXiv preprint arXiv: 1805.08899, 2018
22018
Rethinking Divide and Conquer—Towards Holistic Interfaces of the Computing Stack
S Dustdar, O Mutlu, N Vijaykumar
IEEE Internet Computing 24 (6), 45-57, 2020
12020
Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency
H Hassan, G Pekhimenko, N Vijaykumar, V Seshadri, D Lee, O Ergin, ...
arXiv preprint arXiv:1805.03969, 2018
12018
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