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ORCIDRuppa K. Thulasiram
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- affiliation: University of Manitoba, Winnipeg, Canada
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2020 – today
- 2022
[c100]Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal:
Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies. CIFEr 2022: 1-8- [c99]Aerambamoorthy Thavaneswaran, You Liang, Sanjiv Das, Ruppa K. Thulasiram, Janakumar Bhanushali:
Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods. CIFEr 2022: 1-8 - [c98]Saulo dos Santos, Japjeet Singh, Ruppa K. Thulasiram, Shahin Kamali, Louis Sirico, Lisa Loud:
A New Era of Blockchain-Powered Decentralized Finance (DeFi) - A Review. COMPSAC 2022: 1286-1292 - [c97]Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal:
Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies. FUZZ-IEEE 2022: 1-8 - 2021
- [j25]Manmohit Singh, Ruppa K. Thulasiram
, A. Thavaneswaran:
A novel data-driven neuro arch (DDNA) model for option pricing on cloud. J. Bank. Financial Technol. 5(2): 89-103 (2021) - [j24]Chukwuka Chukwuocha, Parimala Thulasiraman, Ruppa K. Thulasiram:
Trust and scalable blockchain-based message exchanging scheme on VANET. Peer-to-Peer Netw. Appl. 14(5): 3092-3109 (2021) - [j23]Yulei Wu, Zheng Yan, Ruppa K. Thulasiram, Mohammed Atiquzzaman:
Guest Editorial Introduction to the Special Section on Blockchain in Future Networks and Vertical Industries. IEEE Trans. Netw. Sci. Eng. 8(2): 1117-1119 (2021) - [c96]Sarada Kiranmayee Tadepalli, Ruppa K. Thulasiram:
COVID-19 Early Symptom Prediction Using Blockchain and Machine Learning. BLOCKCHAIN 2021: 243-251 - [c95]Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo, Ruppa K. Thulasiram, Behrouz Banitalebi:
A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. COMPSAC 2021: 218-227 - [c94]Aerambamoorthy Thavaneswaran, You Liang, Na Yu, Alex Paseka, Ruppa K. Thulasiram:
Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations. COMPSAC 2021: 1742-1747 - [c93]You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Ruppa K. Thulasiram, Ethan Johnson-Skinner:
Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures. COMPSAC 2021: 1748-1753 - [c92]Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram:
An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. COMPSAC 2021: 1760-1765 - [c91]Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Md. Erfanul Hoque, Ruppa K. Thulasiram:
A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient. FUZZ-IEEE 2021: 1-6 - [c90]Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo:
Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. SSCI 2021: 1-8 - 2020
- [c89]Saulo dos Santos, Shahin Kamali, Ruppa K. Thulasiram:
Candidate Set Formation Policy for Mining Pools. Blockchain 2020: 415-420 - [c88]You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Zimo Zhu, Ruppa K. Thulasiram:
A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price. COMPSAC 2020: 225-234 - [c87]You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque:
Data-Driven Adaptive Regularized Risk Forecasting. COMPSAC 2020: 1296-1301 - [c86]Zimo Zhu, Aerambamoorthy Thavaneswaran, Alexander Paseka, Julieta Frank, Ruppa K. Thulasiram:
Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data. COMPSAC 2020: 1308-1313 - [c85]You Liang, Aerambamoorthy Thavaneswaran, Na Yu, Md. Erfanul Hoque, Ruppa K. Thulasiram:
Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. COMPSAC 2020: 1314-1319 - [c84]A. Thavaneswaran, You Liang, Zimo Zhu, Ruppa K. Thulasiram:
Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading. FUZZ-IEEE 2020: 1-8 - [c83]Chukwuka Chukwuocha, Ruppa K. Thulasiram, Parimala Thulasiraman, Yingwei Wang:
Ensuring Resource Availability with MRU/FRU Caching: A Dew-Blockcloud Model. MIPRO 2020: 1927-1933 - [c82]Manmohit Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources. SSCI 2020: 376-383
2010 – 2019
- 2019
- [j22]Sujata Dash, Ruppa K. Thulasiram, Parimala Thulasiraman:
Modified Firefly Algorithm With Chaos Theory for Feature Selection: A Predictive Model for Medical Data. Int. J. Swarm Intell. Res. 10(2): 1-20 (2019) - [j21]Saulo dos Santos, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman, Shahin Kamali:
Validating pairwise transactions on cryptocurrencies: a novel heuristics and network simulation. J. Bank. Financial Technol. 3(1): 71-81 (2019) - [j20]Sukhpal Singh Gill, Peter Garraghan, Vlado Stankovski, Giuliano Casale, Ruppa K. Thulasiram, Soumya K. Ghosh, Kotagiri Ramamohanarao, Rajkumar Buyya:
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. J. Syst. Softw. 155: 104-129 (2019) - [j19]Sudheer Kumar Battula, Saurabh Kumar Garg, Ranesh Kumar Naha, Parimala Thulasiraman, Ruppa K. Thulasiram:
A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment. Sensors 19(13): 2954 (2019) - [c81]Saulo dos Santos, Chukwuka Chukwuocha, Shahin Kamali, Ruppa K. Thulasiram:
An Efficient Miner Strategy for Selecting Cryptocurrency Transactions. Blockchain 2019: 116-123 - [c80]Eid Albalawi, Fujie Chen, Ruppa K. Thulasiram, Parimala Thulasiraman:
Effect of PSO Communication Topologies on Task Matching in Grid Computing. CEC 2019: 426-433 - [c79]Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Mohammed Erfanul Hoque, Nalini Ravishanker:
Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. COMPSAC (2) 2019: 221-226 - [c78]A. Thavaneswaran, Ruppa K. Thulasiram, Julieta Frank, Zimo Zhu, Manmohit Singh:
Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model. FUZZ-IEEE 2019: 1-6 - [c77]Ziyue Wang, Parimala Thulasiraman, Ruppa K. Thulasiram:
A Dynamic Traffic Awareness System for Urban Driving. iThings/GreenCom/CPSCom/SmartData 2019: 945-952 - 2018
- [c76]Eid Albalawi, Parimala Thulasiraman, Ruppa K. Thulasiram:
A Modified Genetic Learning PSO for Task Matching in Grid Environment. CEC 2018: 1-8 - [c75]Deepak Bajpai, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman:
Financial Application on an Openstack Based Private Cloud. IDCS 2018: 109-121 - [c74]Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
A Self Fixing Intelligent Ant Clustering Algorithm For Graphs. IJCNN 2018: 1-8 - [c73]Saulo dos Santos, Daniyal Khowaja, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman:
A Novel Heuristics for Validating Pairwise Transactions on Cryptocurrencies. iThings/GreenCom/CPSCom/SmartData 2018: 1301-1307 - [c72]Muskan Vinayak, Amrit Pal Singh Panesar, Saulo dos Santos, Ruppa K. Thulasiram, Parimala Thulasiraman, Srimantoorao Semischetty Appadoo:
Analyzing Financial Smart Contracts for Blockchain. iThings/GreenCom/CPSCom/SmartData 2018: 1701-1706 - [c71]Eid Albalawi, Parimala Thulasiraman, Ruppa K. Thulasiram:
HGLPSO: Hybrid Genetic Learning PSO and its Applications to Task Matching on Large-Scale Systems. SSCI 2018: 997-1004 - [c70]Ziyue Wang, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Ant Brood Clustering on Intel Xeon Multi-core: Challenges and Strategies. SSCI 2018: 1126-1233 - [c69]Mohammad Asiful Hossain, Rezaul Karim, Ruppa K. Thulasiram, Neil D. B. Bruce, Yang Wang:
Hybrid Deep Learning Model for Stock Price Prediction. SSCI 2018: 1837-1844 - 2017
- [j18]Hai Jiang, Fangwing Liu, Ruppa K. Thulasiram, Erol Gelenbe:
Guest Editorial: Special Issue on Green Pervasive and Ubiquitous Systems. IEEE Syst. J. 11(2): 806-812 (2017) - [c68]Sujata Dash, Ruppa K. Thulasiram, Parimala Thulasiraman:
An Enhanced Chaos-Based Firefly Model for Parkinson's Disease Diagnosis and Classification. ICIT 2017: 159-164 - [c67]Mohammed Qasem, Ying Ying Liu, Ziyue Wang, Parimala Thulasiraman, Ruppa K. Thulasiram:
Enhancing Ant Brood Clustering with Adaptive Radius of Perception and Non-parametric Estimation on Multi-core Architectures. INCoS 2017: 301-312 - [c66]Kevin Mather, Parimala Thulasiraman, Ruppa K. Thulasiram, Sujata Dash:
A parallel firefly meta-heuristics algorithm for financial option pricing. SSCI 2017: 1-8 - [c65]Mohammed Qasem, Parimala Thulasiraman, Ruppa K. Thulasiram:
Constrained ant brood clustering algorithm with adaptive radius: A case study on aspect based sentiment analysis. SSCI 2017: 1-8 - 2016
- [j17]Ruppa K. Thulasiram, Parimala Thulasiraman, Hari Prasain, Girish K. Jha:
Nature-inspired soft computing for financial option pricing using high-performance analytics. Concurr. Comput. Pract. Exp. 28(3): 707-728 (2016) - [c64]Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Parallelizing Active Memory Ants with MapReduce for Clustering Financial Time Series Data. BDCloud-SocialCom-SustainCom 2016: 137-144 - [c63]Gobind Preet Singh, Ruppa K. Thulasiram, Parimala Thulasiraman:
Pricing European Options Using a Novel Multi-objective Firefly Algorithm. IntelliSys (1) 2016: 687-705 - [c62]Gobind Preet Singh, Ruppa K. Thulasiram, Parimala Thulasiraman:
Non-dominant sorting Firefly algorithm for pricing American option. SSCI 2016: 1-10 - 2015
- [j16]Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram:
Exploration/exploitation of a hybrid-enhanced MPSO-GA algorithm on a fused CPU-GPU architecture. Concurr. Comput. Pract. Exp. 27(4): 973-993 (2015) - [j15]Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman, Rajkumar Buyya:
Clabacus: A Risk-Adjusted Cloud Resources Pricing Model Using Financial Option Theory. IEEE Trans. Cloud Comput. 3(3): 332-344 (2015) - [c61]Mohammed Qasem, Ruppa K. Thulasiram, Parimala Thulasiraman:
Twitter sentiment classification using machine learning techniques for stock markets. ICACCI 2015: 834-840 - [c60]Jose Juan Mijares Chan, Yuyin Mao, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Parallel Ant Brood Graph Partitioning in Julia. PPAM (2) 2015: 176-185 - [c59]Jose Juan Mijares Chan, Parimala Thulasiraman, Gabriel Thomas, Ruppa K. Thulasiram:
Stationarity Enforcement of Accelerator Based TRNG by Genetic Algorithm. TrustCom/BigDataSE/ISPA (1) 2015: 1122-1128 - 2014
- [j14]Ruppa K. Thulasiram, Manish Parashar:
Special issue on computational finance. Concurr. Comput. Pract. Exp. 26(9): 1607-1608 (2014) - [c58]Olayinka Idowu Oduntan, Parimala Thulasiraman, Ruppa K. Thulasiram:
Portfolio diversification using ant brood sorting clustering. NaBIC 2014: 256-261 - [c57]David Allenotor, Ruppa K. Thulasiram:
A Discrete Time Financial Option Pricing Model for Cloud Services. UIC/ATC/ScalCom 2014: 629-636 - 2013
- [j13]Bahman Javadi, Ruppa K. Thulasiram, Rajkumar Buyya:
Characterizing spot price dynamics in public cloud environments. Future Gener. Comput. Syst. 29(4): 988-999 (2013) - [j12]Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman:
Normalized particle swarm optimization for complex chooser option pricing on graphics processing unit. J. Supercomput. 66(1): 170-192 (2013) - [j11]David Allenotor, Ruppa K. Thulasiram:
A fuzzy Grid-QoS framework for obtaining higher grid resources availability. J. Supercomput. 66(3): 1231-1242 (2013) - [c56]Himani Rana, Parimala Thulasiraman, Ruppa K. Thulasiram:
MAZACORNET: Mobility aware zone based ant colony optimization routing for VANET. IEEE Congress on Evolutionary Computation 2013: 2948-2955 - [c55]Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram:
Memory Efficient Multi-Swarm PSO Algorithm in OpenCL on an APU. ICA3PP (1) 2013: 236-246 - [c54]Ranjan Saha, Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman:
A Novel Architecture for Financial Investment Services on a Private Cloud. ICA3PP (1) 2013: 370-379 - [c53]Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman:
A novel application of ACO to price transmission rights in electricity markets. NaBIC 2013: 267-273 - [c52]Jose Juan Mijares Chan, Gagan Battoo, Parimala Thulasiraman, Ruppa K. Thulasiram:
Effects of Segmented Finite Difference Time Domain on GPU. PPAM (2) 2013: 130-139 - [c51]Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram:
Optimization of an OpenCL-Based Multi-swarm PSO Algorithm on an APU. PPAM (2) 2013: 140-150 - [c50]M. S. Sidhu, Parimala Thulasiraman, Ruppa K. Thulasiram:
A load-rebalance PSO heuristic for task matching in heterogeneous computing systems. SIS 2013: 180-187 - [p1]Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram:
Scheduling Using Multiple Swarm Particle Optimization with Memetic Features on Graphics Processing Units. Massively Parallel Evolutionary Computation on GPGPUs 2013: 149-178 - 2012
- [c49]Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman, Saurabh Kumar Garg, Rajkumar Buyya:
Pricing Cloud Compute Commodities: A Novel Financial Economic Model. CCGRID 2012: 451-457 - [c48]Saurabh Kumar Garg, Bhanu Sharma, Rodrigo N. Calheiros, Ruppa K. Thulasiram, Parimala Thulasiraman, Rajkumar Buyya:
Financial Application as a Software Service on Cloud. IC3 2012: 141-151 - [c47]Matthew Doerksen, Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram:
Financial Option Pricing on APU. IC3 2012: 431-441 - [c46]Matthew Doerksen, Parimala Thulasiraman, Ruppa K. Thulasiram:
Optimizing Option Pricing Algorithms and Profiling Power Consumption on VLIW APU Architecture. ISPA 2012: 71-78 - [c45]Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman:
Portfolio Management Using Particle Swarm Optimization on GPU. ISPA 2012: 103-110 - [c44]Adel Nadjaran Toosi, Ruppa K. Thulasiram, Rajkumar Buyya:
Financial Option Market Model for Federated Cloud Environments. UCC 2012: 3-12 - 2011
- [j10]Rashedur M. Rahman, Ruppa K. Thulasiram, Parimala Thulasiraman:
Performance Analysis of Sequential and Parallel Neural Network Algorithm for Stock Price Forecasting. Int. J. Grid High Perform. Comput. 3(1): 45-68 (2011) - [j9]David Allenotor, Ruppa K. Thulasiram:
Grid resources valuation with fuzzy real option. Int. J. High Perform. Comput. Netw. 7(1): 1-7 (2011) - [c43]Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman:
Pricing transmission rights using ant colony optimization. GECCO (Companion) 2011: 809-810 - [c42]Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram:
Collaborative multi-swarm PSO for task matching using graphics processing units. GECCO 2011: 1563-1570 - [c41]Jose Juan Mijares Chan, Bhanu Sharma, Jiaqing Lv, Gabriel Thomas, Ruppa K. Thulasiram, Parimala Thulasiraman:
True Random Number Generator Using GPUs and Histogram Equalization Techniques. HPCC 2011: 161-170 - [c40]Adel Nadjaran Toosi, Rodrigo N. Calheiros, Ruppa K. Thulasiram, Rajkumar Buyya:
Resource Provisioning Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment. HPCC 2011: 279-287 - [c39]Bahman Javadi, Ruppa K. Thulasiram, Rajkumar Buyya:
Statistical Modeling of Spot Instance Prices in Public Cloud Environments. UCC 2011: 219-228 - 2010
- [j8]Ruppa K. Thulasiram:
Preface. Parallel Comput. 36(7): 371 (2010) - [c38]Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram, Girish K. Jha:
Particle swarm optimization algorithm for option pricing: extended abstract. GECCO (Companion) 2010: 2109-2110 - [c37]Steven Solomon, Ruppa K. Thulasiram, Parimala Thulasiraman:
Option Pricing on the GPU. HPCC 2010: 289-296 - [c36]Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram:
Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators. HPCC 2010: 297-304 - [c35]David Allenotor, Ruppa K. Thulasiram:
Evaluation of a Financial Option Based Pricing Model for Grid Resources Management: Simulation vs. Real Data. HPCC 2010: 515-520 - [c34]Hari Prasain, Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram:
A parallel Particle swarm optimization algorithm for option pricing. IPDPS Workshops 2010: 1-7
2000 – 2009
- 2009
- [j7]Jianping Wang, Eseosa Osagie, Parimala Thulasiraman, Ruppa K. Thulasiram:
HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network. Ad Hoc Networks 7(4): 690-705 (2009) - [j6]Kiran Kola, Ruppa K. Thulasiram, Parimala Thulasiraman:
A software architecture framework for on-line option pricing. J. Supercomput. 47(2): 146-170 (2009) - [c33]Girish K. Jha, Sameer Kumar, Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram:
Option pricing using Particle Swarm Optimization. C3S2E 2009: 267-272 - [c32]Sameer Kumar, Gitika Chadha, Ruppa K. Thulasiram, Parimala Thulasiraman:
Ant Colony Optimization to price exotic options. IEEE Congress on Evolutionary Computation 2009: 2366-2373 - [c31]David Allenotor, Ruppa K. Thulasiram, Parimala Thulasiraman:
A Financial Option Based Grid Resources Pricing Model: Towards an Equilibrium between Service Quality for User and Profitability for Service Providers. GPC 2009: 13-24 - [c30]David Allenotor, Ruppa K. Thulasiram:
Integrating a financial option based model with GridSim for pricing Grid resources. GRID 2009: 165-168 - [c29]Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram:
PSO based neural network for time series forecasting. IJCNN 2009: 1422-1427 - [c28]David Allenotor, Ruppa K. Thulasiram, Parimala Thulasiraman:
A novel application of option pricing to distributed resources management. IPDPS 2009: 1-8 - [c27]Yeshwanth Udayshankar, Sameer Kumar, Girish K. Jha, Ruppa K. Thulasiram, Parimala Thulasiraman:
An Aggregated Ant Colony Optimization approach for pricing options. IPDPS 2009: 1-7 - 2008
- [c26]Eseosa Osagie, Parimala Thulasiraman, Ruppa K. Thulasiram:
PACONET: imProved Ant Colony Optimization Routing Algorithm for Mobile Ad Hoc NETworks. AINA 2008: 204-211 - [c25]Sameer Kumar, Ruppa K. Thulasiram, Parimala Thulasiraman:
A bioinspired algorithm to price options. C3S2E 2008: 11-22 - [c24]David Allenotor, Ruppa K. Thulasiram:
A Fuzzy Grid-QoS Framework for Obtaining Higher Grid Resources Availability. GPC 2008: 128-139 - [c23]David Allenotor, Ruppa K. Thulasiram:
Grid resources pricing: A novel financial option based quality of service-profit quasi-static equilibrium model. GRID 2008: 75-84 - [c22]Meilian Xu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Exploiting Data Locality in FFT Using Indirect Swap Network on Cell/B.E. HPCS 2008: 88-94 - 2007
- [j5]S. Yu. Sadov, P. N. Shivakumar, Dmitry K. Firsov, S. H. Lui, Ruppa K. Thulasiram:
Mathematical Model of Ice Melting on Transmission Lines. J. Math. Model. Algorithms 6(2): 273-286 (2007) - [c21]David Allenotor, Ruppa K. Thulasiram:
G-FRoM: Grid Resources Pricing A Fuzzy Real Option Model. eScience 2007: 388-395 - [c20]David Allenotor, Ruppa K. Thulasiram:
A Grid Resources Valuation Model Using Fuzzy Real Option. ISPA 2007: 622-632 - [e2]Ivan Stojmenovic, Ruppa K. Thulasiram, Laurence Tianruo Yang, Weijia Jia, Minyi Guo, Rodrigo Fernandes de Mello:
Parallel and Distributed Processing and Applications, 5th International Symposium, ISPA 2007, Niagara Falls, Canada, August 29-31, 2007, Proceedings. Lecture Notes in Computer Science 4742, Springer 2007, ISBN 978-3-540-74741-3 [contents] - [e1]Parimala Thulasiraman, Xubin He, Tony Li Xu, Mieso K. Denko, Ruppa K. Thulasiram, Laurence Tianruo Yang:
Frontiers of High Performance Computing and Networking ISPA 2007 Workshops, ISPA 2007 International Workshops SSDSN, UPWN, WISH, SGC, ParDMCom, HiPCoMB, and IST-AWSN Niagara Falls, Canada, August 28 - September 1, 2007, Proceedings. Lecture Notes in Computer Science 4743, Springer 2007, ISBN 978-3-540-74766-6 [contents] - 2006
- [j4]Ruppa K. Thulasiram, Chen Zhen, Amit Chhabra, Parimala Thulasiraman, Abba B. Gumel:
A second order L0 stable algorithm for evaluating European options. Int. J. High Perform. Comput. Netw. 4(5/6): 311-320 (2006) - [c19]Gong Chen, Parimala Thulasiraman, Ruppa K. Thulasiram:
Distributed Quasi-Monte Carlo Algorithm for Option Pricing on HNOWs Using mpC. Annual Simulation Symposium 2006: 90-97 - [c18]Carson Kai-Sang Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko:
An Efficient System for Detecting Outliers from Financial Time Series. BNCOD 2006: 190-198 - [c17]Weirong Zhu, Parimala Thulasiraman, Ruppa K. Thulasiram, Guang R. Gao:
Exploring Financial Applications on Many-Core-on-a-Chip Architecture: A First Experiment. ISPA Workshops 2006: 221-230 - [c16]Kiran Kola, Amit Chhabra, Ruppa K. Thulasiram, Parimala Thulasiraman:
A Software Architecture Framework for On-Line Option Pricing. ISPA 2006: 747-759 - 2005
- [c15]Sajib Barua, Ruppa K. Thulasiram, Parimala Thulasiraman:
High Performance Computing for a Financial Application Using Fast Fourier Transform. Euro-Par 2005: 1246-1253 - [c14]Kai Huang, Ruppa K. Thulasiram:
Parallel Algorithm for Pricing American Asian Options with Multi-Dimensional Assets. HPCS 2005: 177-185 - 2004
- [c13]Ruppa K. Thulasiram, Chen Zhen, Abba B. Gumel:
A Second Order L0 Stable Algorithm for Evaluating European Options. HPCS 2004: 17-23 - [c12]Amit Chhabra, Parimala Thulasiraman, Mohammad Towhidul Islam, Ruppa K. Thulasiram:
An OpenMP Implementation of FTCS Method for Reduced Black-Sholes Equation. HPCS 2004: 205-207 - [c11]Sajib Barua, Ruppa K. Thulasiram, Parimala Thulasiraman:
Fast Fourier Transform for Option Pricing: Improved Mathematical Modeling and Design of Efficient Parallel Algorithm. ICCSA (3) 2004: 686-695 - [c10]Laurence Tianruo Yang, Ruppa K. Thulasiram, Jun Zhang, Parimala Thulasiraman:
Message from the Chairs: International Workshop on High Performance Scientific and Engineering Computing. ICPP Workshops 2004: 156 - [c9]Sajib Barua, Ruppa K. Thulasiram, Parimala Thulasiraman:
Improving Data Locality in Parallel Fast Fourier Transform Algorithm for Pricing Financial Derivatives. IPDPS 2004 - 2003
- [j3]Ruppa K. Thulasiram, Parimala Thulasiraman:
Performance Evaluation of a Multithreaded Fast Fourier Transform Algorithm for Derivative Pricing. J. Supercomput. 26(1): 43-58 (2003) - [c8]Ruppa K. Thulasiram, Rashedur M. Rahman, Parimala Thulasiraman:
Neural Network Training Algorithms on Parallel Architectures for Finance Applications. ICPP Workshops 2003: 236-243