Srishti Srivastava

Orcid: 0000-0003-3634-7279

According to our database1, Srishti Srivastava authored at least 27 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
A Survey of Deep Learning Techniques for Underwater Image Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Introducing Parallel and Distributed Computing concepts through the use of Flashcards and a Card Game.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Performance Modeling of Scalable Resource Allocations with the Imperial PEPA Compiler.
Proceedings of the 21st International Symposium on Parallel and Distributed Computing, 2022

2021
A survey of deep learning techniques for vehicle detection from UAV images.
J. Syst. Archit., 2021

A survey on hardware security of DNN models and accelerators.
J. Syst. Archit., 2021

2020
Robustness Analysis of Scaled Resource Allocation Models Using the Imperial PEPA Compiler.
Proceedings of the 19th International Symposium on Parallel and Distributed Computing, 2020

Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Development of an Indoor Space Semantic Model and Its Implementation as an IndoorGML Extension.
ISPRS Int. J. Geo Inf., 2019

Evaluating Student Engagement towards Integrating Parallel and Distributed Computing (PDC) Topics in Undergraduate Level Computer Science Curriculum.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Assessing the Integration of Parallel and Distributed Computing in Early Undergraduate Computer Science Curriculum using Unplugged Activities.
Proceedings of the 2019 IEEE/ACM Workshop on Education for High-Performance Computing, 2019

A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability.
Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Scheduling in Parallel and Distributed Computing Systems.
Proceedings of the Topics in Parallel and Distributed Computing, 2018

2017
Robust resource allocations through performance modeling with stochastic process algebra.
Concurr. Comput. Pract. Exp., 2017

2016
Towards an autonomic performance management approach for a cloud broker environment using a decomposition-coordination based methodology.
Future Gener. Comput. Syst., 2016

2015
A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment.
Proceedings of the Handbook on Data Centers, 2015

Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015

2014
An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2014

Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013
Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load Using SimGrid.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012

A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011
Enhancing the Functionality of a GridSim-Based Scheduler for Effective Use with Large-Scale Scientific Applications.
Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011

2010
Investigating the robustness of adaptive Dynamic Loop Scheduling on heterogeneous computing systems.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010


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