Imam, Neena
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1

Emulation Framework for Distributed Large-Scale Systems Int..:

, In: 2022 IEEE International Systems Conference (SysCon),
 
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2

Cross Inference of Throughput Profiles Using Micro Kernel N..:

, In: Machine Learning for Networking; Lecture Notes in Computer Science,
 
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3

Correction to: High‑Tc Superconducting Memory Cell:

Miloshevsky, Alexander ; Nair, Niketh ; Imam, Neena.
Journal of Superconductivity and Novel Magnetism.  35 (2022)  3 - p. 953-953 , 2022
 
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4

High-Tc Superconducting Memory Cell:

Miloshevsky, Alexander ; Nair, Niketh ; Imam, Neena.
Journal of Superconductivity and Novel Magnetism.  35 (2021)  2 - p. 373-382 , 2021
 
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5

Assessment of NVSHMEM for High Performance Computing:

Hsu, Chung-Hsing ; Imam, Neena
International Journal of Networking and Computing.  11 (2021)  1 - p. 78-101 , 2021
 
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6

Co-design of Advanced Architectures for Graph Analytics usi..:

, In: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Kurte, Kuldeep ; Imam, Neena ; Kannan, Ramakrishnan.. - p. 298-307 , 2021
 
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7

Phoenix: A Scalable Streaming Hypergraph Analysis Framework:

, In: Advances in Data Science and Information Engineering; Transactions on Computational Science and Computational Intelligence,
 
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8

Design Space Exploration of Emerging Memory Technologies fo..:

, In: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
 
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9

Identifying Optimization Opportunities Using Memory Access ..:

, In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
 
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10

An Initial Assessment of NVSHMEM for High Performance Compu..:

, In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Hsu, Chung-Hsing ; Imam, Neena ; Langer, Akhil.. - p. 1-10 , 2020
 
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11

Software Framework for Federated Science Instruments:

, In: Communications in Computer and Information Science; Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI,
 
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13

Machine Learning Methods for Connection RTT and Loss Rate E..:

, In: Machine Learning for Networking; Lecture Notes in Computer Science,
Rao, Nageswara S. V. ; Imam, Neena ; Liu, Zhengchun.. - p. 154-174 , 2020
 
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14

Accelerating Scientific Computing in the Post-Moore's Era:

Hamilton, Kathleen E. ; Schuman, Catherine D. ; Young, Steven R....
ACM Transactions on Parallel Computing (TOPC).  7 (2020)  1 - p. 1-31 , 2020
 
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15

Tracking Memory Usage in OpenSHMEM Runtimes with the TAU Pe..:

, In: OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity; Lecture Notes in Computer Science,
Chaimov, Nicholas ; Shende, Sameer ; Malony, Allen.. - p. 167-179 , 2019
 
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