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Suraj Kumar
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2020 – today
- 2024
- [j6]Hussam Al Daas
, Grey Ballard
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. SIAM J. Matrix Anal. Appl. 45(1): 450-477 (2024) - [j5]Suraj Kumar, Soumi Chattopadhyay
TPMCF: Temporal QoS Prediction Using Multi-Source Collaborative Features. IEEE Trans. Netw. Serv. Manag. 21(4): 3945-3955 (2024) - [c19]Kamalika Bhattacharjee, Suraj Kumar:
Cellular Automata Based Multiple Stream Parallel Random Number Generator for 64-Bit Computing. ASCAT 2024: 109-122 - [c18]Bulbul Behera, Vishal Babu, Suraj Kumar, M. Felix Orlando, R. S. Anand:
Neural Network based Predictive Model for Bevel-Tip Needle Deflection in Percutaneous Interventions. ICSTCC 2024: 63-68 - [i9]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse, Mathieu Verite:
Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations. CoRR abs/2409.11304 (2024) - [i8]Vishnu Joshi, Suraj Kumar, Nithin V, Shishir Kolathaya:
Discrete time model predictive control for humanoid walking with step adjustment. CoRR abs/2410.06790 (2024) - [i7]Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak:
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network. CoRR abs/2410.17762 (2024) - 2023
- [j4]Arun Kumar Yadav, Suraj Kumar, Dipesh Kumar, Lalit Kumar, Kapil Kumar, Sandeep Kumar Maurya, Mohit Kumar, Divakar Yadav
Fake News Detection Using Hybrid Deep Learning Method. SN Comput. Sci. 4(6): 845 (2023) - [c17]Shrey Rastogi
Aqua Clear: Efficient Water Management for home water supply. IC3 2023: 631-637 - [c16]Suraj Kumar, Gagan Raj Gupta, Roodra Pratap Singh Parihar:
Fast Anomaly Detection For Multivariate Industrial Time Series Data. ICCCNT 2023: 1-7 - [c15]Hussam Al Daas
Parallel Memory-Independent Communication Bounds for SYRK. SPAA 2023: 391-401 - [i6]Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak:
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features. CoRR abs/2303.18201 (2023) - [i5]Suraj Kumar, Soumi Chattopadhyay:
ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution. CoRR abs/2310.02269 (2023) - 2022
- [c14]Harshvardhan Das, Suraj Kumar, Subodh Kumar:
Precise Parallel FEM-based Interactive Cutting Simulation of Deformable Bodies. HIPC 2022: 198-203 - [c13]Suraj Kumar
TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning. ICSOC 2022: 143-152 - [c12]Pranshu Chourasia, Ganesh Ramakrishnan, Varsha Apte, Suraj Kumar:
Algorithm identification in programming assignments. ICPC 2022: 471-481 - [c11]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse
Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. SPAA 2022: 445-448 - [c10]Soumi Chattopadhyay
OffDQ: An Offline Deep Learning Framework for QoS Prediction. WWW 2022: 1987-1996 - [i4]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse:
Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. CoRR abs/2205.13407 (2022) - [i3]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse:
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. CoRR abs/2207.10437 (2022) - 2021
- [j3]Koushlendra Kumar Singh
Kalman filter based short term prediction model for COVID-19 spread. Appl. Intell. 51(5): 2714-2726 (2021) - [c9]Jitendra Yadav
Do You Feel Me? Exploring Reception of Advertising Emotions by Consumers. ICCCNT 2021: 1-5 - 2020
- [c8]Aman Jaiswal, Suraj Kumar
En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. IJCNN 2020: 1-8 - [c7]Lionel Eyraud-Dubois, Suraj Kumar:
Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources. IPDPS 2020: 1041-1050
2010 – 2019
- 2019
- [c6]Aayush Mishra, Suraj Kumar, Aditya Nigam, Saiful Islam:
VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. BMVC 2019: 274 - [c5]Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. ICPP 2019: 81:1-81:10 - [i2]Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy:
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. CoRR abs/1904.06825 (2019) - 2018
- [j2]Olivier Beaumont
Fast approximation algorithms for task-based runtime systems. Concurr. Comput. Pract. Exp. 30(17) (2018) - 2017
- [b1]Suraj Kumar:
Scheduling of Dense Linear Algebra Kernels on Heterogeneous Resources. (Ordonnancement de noyaux d'algèbre linéaire dense sur ressources hétérogènes). University of Bordeaux, France, 2017 - [c4]Olivier Beaumont
Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs. IPDPS 2017: 768-777 - 2016
- [c3]Olivier Beaumont
Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources. HiPC 2016: 321-330 - [c2]Emmanuel Agullo, Olivier Beaumont
Are Static Schedules so Bad? A Case Study on Cholesky Factorization. IPDPS 2016: 1021-1030 - 2015
- [c1]Emmanuel Agullo, Olivier Beaumont
Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms. IPDPS Workshops 2015: 34-45 - 2014
- [j1]Alok Srivastava, Suraj Kumar, Ramakrishna Ramaswamy
Two-layer modular analysis of gene and protein networks in breast cancer. BMC Syst. Biol. 8: 81 (2014)
2000 – 2009
- 2008
- [i1]Lionel Morand, Alper E. Yegin, Suraj Kumar, Syam Madanapalli:
DHCP Options for Protocol for Carrying Authentication for Network Access (PANA) Authentication Agents. RFC 5192: 1-8 (2008)
Coauthor Index
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last updated on 2024-11-28 20:32 CET by the dblp team
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