Book : Parimala Thulasiraman, Irregular Computations on fine-grain multithreaded architecture, Parallel Algorithms and Architectures, Lambert Publishing Company, 204 pages, 2009.

Journals

Olayinka Idowu Oduntan and Parimala Thulasiraman, Blending multiple algorithmic granular components: A recipe for clustering , Swarm Intelligence (EIC: Marco Dorigo), Swarm Intelligence 16, Springer, pp. 305-349, 2022.
Al Aziz, M.M., Thulasiraman, P. and Mohammed, N, Parallel and private generalized suffix tree construction and query on genomic data , BMC Genom Data 23, 45, 2022.

Chukwuka Chukwuocha, Parimala Thulasiraman and Ruppa K. Thulasiram, Design and implementation of a scalable zone-based blockchain for determining the trustworthiness of messages on VANET , Peer to Peer Networking and Applications, Springer, pp. 1-18, May 2021.

Hossein Chegini, Ranesh Kumar Naha, Aniket Mahanti and Parimala Thulasiraman, Process automation in an IoT-Fog-Cloud ecosystem: A survey and taxonomy, Internet of Things, , IoT, pp. 92-118, January 2021.

Khatereh Davoudi and Parimala Thulasiraman, Evolving convolutional neural network parameters through genetic algorithm for breast cancer classification problem , SIMULATION: Transaction of the Society for Modeling and Simulation, SAGE Publishers, Volume 98, Issue 8, March 2021, pp. 511-527.

Fatemeh Enayatollahi, M.A. Amiri Atashgah, S.B. Malaek and Parimala Thulairaman, PBN-based time optimal terminal air traffic control using cellular automata , IEEE Transactions on Aerospace and Electronic Systems, pp. 1513-1523, January 2021,

Mehdi Niknam and Parimala Thulasiraman, LPR: A bio-inspired intelligent learning path recommendation system based on meaningful learning theory , Education and Information Technologies, Springer, ,pp. 3797–3819, February 2020.

Sudheer Kumar Battula, Saurabh Garg, Ranesh Kumar Naha, Parimala Thulasiraman, and Ruppa Thulasiram, A micro-level compensation-Based cost model for resource allocation in a Fog environment , Sensors, SI: Recent Advances in Fog/Edge Computing in Internet of Things, 2019.

Taylor Cox and Parimala Thulasiraman, A zone-based traffic assignment algorithm for scalable congestion reduction , Information & Communication Technology Express, SI: Intelligent Transportation Communication Systems, Elsevier, December 2017.

Jose J. Mijares Chan, Parimala Thulasiraman, Gabriel Thomas, Ruppa Thulasiram, Ensuring quality of random numbers from TRNG: design and evaluation of post-processing using genetic algorithm, Journal of Computer and Communications, Scientific Research, 4, pp. 73-92, 2016.

Bhanu Sharma, Ruppa K. Thulasiram and Parimala Thulasiraman, Computing value-at-risk using genetic algorithm , Journal of risk finance, Emerald, 16(2), 2015, 170-189.

Bhanu Sharma, Ruppa K. Thulasiram and Parimala Thulasiraman, Clabacus: A risk-adjusted Cloud resources pricing model using Financial Option Theory , IEEE Transactions on Cloud Computing, SI:Cloud Economics, 3(3), 2015, 332-344.

Wayne Franz, Parimala Thulasiraman and Ruppa K. Thulasiram, Exploration/exploitation of a hybrid enhanced MPSO-GA algorithm on a fused CPU-GPU architecture , Wiley Inderscience, Concurrency Computation Practice and Experience, 27(4), 2015, 973-993.

Ruppa K. Thulasiram, Parimala Thulasiraman, Hari Prasain and Girish K. Jha, Nature-inspired soft computing for financial option pricing using high performance analytics , Wiley Inderscience, Concurrency Computation Practice and Experience, 28(3), 2015, pp. 707-728.

Sajib Barua, R.K. Thulasiram and Parimala Thulasiraman, High Performance computing for a a financial application using fast Fourier transform, European Network for Business and Industrial Statistics, Journal on Quality Technology and Quantitative Management - Special Issue on Mathematical and Statistical Finance, 1(11), # 2, 2014, pp. 185-202.

Bhanu Sharma, Ruppa K. Thulasiram and Parimala Thulasiraman, Normalized particle swarm optimization for complex chooser option pricing on graphics processing unit, Springer, The Journal of Supercomputing, 66(1), 2013, pp. 170-192.

Bahman Javadi, Parimala Thulasiraman and Rajkumar Buyya, Enhancing performance of failure-prone clusters by adaptive provisioning of Cloud resources, Springer , The Journal of Supercomputing, 63(2), 2013, pp. 467-489.

Meilian Xu, Parimala Thulasiraman and Sima Noghanian, Microwave tomography for breast cancer detection on cell broadband engine processors , Elsevier, Journal of Parallel and Distributed Computing, 72(9), 2012, pp. 1106-1116.

Meilian Xu and Parimala Thulasiraman, Mapping iterative medical imaging algorithm on Cell accelerator, Hindawi Publishing Corporation International Journal of Biomedical Imaging, SI: Special Issue on Parallel Computation in Medical Imaging Applications, 2011.

R.M. Rahman, R.K. Thulasiram and P. Thulaasiraman, Neural network algorithms on distributed and shared memory architectures for financial applications, IGI Global , Intl. J. Grid and High Performance Computing, 3(1), 2011, pp. 45-68.

Ruppa K. Thulasiram, P. Thulasiraman and K.P.J. Reddy, Direct microscopic simulation of price particles for option pricing using parallel quasi Monte-Carlo technique, Multi-Science Publishing, UK, International Journal of Aerospace Innovations, 1(2), 2009, pp. 89-99.

JianPing Wang, Eseosa S. Osagie, Parimala Thulasiraman and Ruppa K. Thulasiram, HOPNET: A Hybrid ant colony OPtimization routing algorithm for Mobile ad hoc NETwork" , Elsevier, Ad Hoc Networks, 7(4), 2009, pp. 690-705.

Kiran Kola, Ruppa K. Thulasiram and Parimala Thulasiraman, A software architecture framework for on-line pricing, Springer, Journal of Supercomputing, 47(2), 2009, pp. 146-170.

Cameron Melvin, Meilian Xu and Parimala Thulasiraman, Preserving image quality with reduced radiation dosage in computed tomography by parallel computing, Serials Publications, International Journal of Computer Science and System Analysis, 2(2), 2008, pp. 121-131.

Ruppa K. Thulasiram , Chen Zhen, Amit Chhabra, Parimala Thulasiraman and Abba Gumel, A second order L0 stable algorithm for evaluating European options, Inderscience, International Journal of High Performance Computing and Networking, 4(5/6), 2006, pp. 311-320.

Rajesh Palit, Ekram Hossein and Parimala Thulasiraman, MAPLE: A framework for channel-access-based Mobility-Aware Pro active Low Energy clustering in ad hoc mobile wireless networks, Wiley Interscience, Journal of Wireless Communications and Mobile Computing, Special Issue on MAC for ad hoc Wireless Network, 6(6), 2006, pp. 773-789.

Daniel Martin, Parimala Thulasiraman and Richard Gordon , Local independence in computed tomography as a basis for parallel computing, Adenine Publishers, Technology in Cancer Research and Treatment, 4(2), 2005.

Parimala Thulasiraman, Ashfaqn A. Khokhar, Gerd Heber and Guang R. Gao, A fine-grain load adaptive algorithm of the 2D discrete wavelet transform for multithreaded architectures , Elsevier, Journal of Parallel and Distributed Computing, 64(1), 2004, pp. 66-78.

Mohammad T. Islam, Parimala Thulasiraman and Ruppa K.Thulasiram, Implementation of ant colony optimization algorithm for mobile ad hoc network applications: OpenMP Experiences, Nova Publishers, Parallel and Distributed Computing Practices, 2(5), 2004, pp. 177-191.

Parimala Thulasiraman, Ashfaq A. Khokhar and Guang R. Gao, Efficient multithreaded algorithms for the fast Fourier transform, Nova Publishers, Parallel and Distributed Computing Practices, 2(5), 2004, pp. 239-257.

Ruppa K. Thulasiram and Parimala Thulasiraman, Performance evaluation of a multithreaded fast Fourier transform algorithm for derivative pricing, Kluwer Academic Publishers, The Journal of Supercomputing, 26(1), 2003, pp. 43-58.

Conferences

Ying Ying Liu, Parimala Thulasiraman and Nelishia Pillay, Worst and generalized severity evaluation for evolutionary dynamic multi-objective optimization, IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Dec. 4- 7, 2022.

Ying Ying Liu, Parimala Thulasiraman and Nelishia Pillay, Bicriterion coevolution for the multi-objective travelling salesperson problem, IEEE Congress on Evolutionary Computation (IEEE CEC 2022) under IEEE WCCI, Padua, Italy, June 2022.

Riley Wall, Parimala Thulasiraman, An island model genetic algorithm approach to tuning AI bots, 12th World Congress on Nature and Biologically Inspired Computing, Dec. 14-20, 2020.

Chuk Chukwuocha, Ruppa K. Thulasiram, Parimala Thulasiraman and Yingwei Wang, Ensuring resource Availability with MRU/FRU caching: A dew-block Cloud model, Dew Computing, MIPRO 2020 - 43rd International Convention, Opatija, Croatia, Sept. 30-Oct. 2, 2020.

Ying Ying Liu, Austin Cooke, Parimala Thulasiraman, Location privacy preservation of vehicle data in Internet of vehicles, The Twelfth International Conference on Evolving Internet (INTERNET 2020), October 18, 2020 to October 22, 2020 - Porto, Portugal.

Yingwei Wang and Parimala Thulasiraman, Post-Cloud computing models and their comparisons, International Conference on Cloud Computing, August 12 - 14, 2020, Honolulu, Hawaii, USA.

Ying Ying Liu and Parimala Thulasiraman, Traffic aware dynamic routing, Vehicle Technology, Winnipeg, MB, October 2019.

Ying Ying Liu, Fatemeh Enayatollahi and Parimala Thulasiraman, Traffic aware many-objective dynamic route planning, IEEE Symposium Series on Computational Intelligence, Dec. 6- 9, 2019, Xiamen, China.

Ziyue Wang, Parimala Thulasiraman and Ruppa K. Thulasiram, A dynamic traffic awareness system for urban driving, The IEEE International Conference on Internet of Things to be held in Atlanta, USA, July 14-July 17, 2019.

Rayhan Shikder, Parimala Thulasiraman, Pourang Irani and Pingzhao Hu, An OpenMP-based tool for finding longest common subsequence in bioinformatics, BMC Research Notes, April 3, 2019.

Sasa Janjic, Parimala Thulasiraman, Neil Buce, In-depth evaluation and experimental analysis of a weight pruning genetic algorithm, IEEE Conference on Evolutionary Computation, Wellington, New Zealand, June 10-13, 2019.

Eid Albalawi, Fujie Chen, Ruppa Thulasiram and Parimala Thulasiraman, Effect of PSO communication topologies on task matching in grid computing, IEEE Conference on Evolutionary Computation, Wellington, New Zealand, June 10-13, 2019.

Qasem Mohammed and Parimala Thulasiraman, Evaluation and validation of semi-Supervised ant-inspired sentence-level sentiment prediction clustering, IEEE Conference on Evolutionary Computation, Wellington, New Zealand, June 10-13, 2019.

Olayinka Idowu Oduntan and Parimala Thulasiraman, Hybrid meta-heuristic algorithm for clustering, IEEE Symposium Series on Computational Intelligence, Bangalore, India, Nov. 2018.

Eid Albalawi, Parimala Thulasiraman and Ruppa K. Thulasiram, HGLPSO: Hybrid Genetic Learning PSO and its Applications to task matching on large scale systems, IEEE Symposium Series on Computational Intelligence, Bangalore, India, Nov. 2018.

Ziyue Wang, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram, Ant brood clustering on Intel Xeon multi-core: challenges and strategies, IEEE Symposium Series on Computational Intelligence, Bangalore, India, Nov. 2018.

P. Thulasiraman, Ruppa K. Thulasiram and Ying Ying Liu, Vehicular data analytics dew computing, Dew Computing Workshop, Oct. 29-31, 2018.

Deepak Bajpai, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman, Financial application on an Openstack based private Cloud, The 11th International Conference on Internet and Distributed Computing Systems, October 11- 13, 2018, Tokyo, Japan.

Navdeep Sidhu Singh, University of Manitoba, Parimala Thulasiraman, Ruppa Thulasiram, Agent, genetic algorithm with task duplication based scheduling technique for heterogeneous systems, Proceedings of the Annual Conference of the Administrative Sciences Association of Canada, Management Sciences Division, Toronto, ON, May 26-May 29, 2018.

Sasa Janjic, Parimala Thulasiraman and Neil Bruce, On the compression of convolutional models: Insights on structure and dedundancy, IEEE International Joint Conference on Neural Networks in IEEE World Congress on Computational Intelligence, Rio de Janeiro, July 8-13, 2018.

Eid Albalawi, Parimala Thulasiraman and Ruppa K. Thulasiram, A modified genetic learning PSO for task matching in grid environment, IEEE Congress on Evolutionary Computation in IEEE World Congress on Computational Intelligence, Rio de Janeiro, July 8-13, 2018.

Ying Ying Liu, Parimala Thulasiraman and Ruppa K. Thulasiram, A self fixing intelligent ant clustering algorithm for graphs, IEEE International Joint Conference on Neural Networks in IEEE World Congress on Computational Intelligence, Rio de Janeiro, July 8-13, 2018.

Mohammad Qasem, Parimala Thulasiraman and Ruppa K. Thulasiram, Constrained ant brood clustering algorithm with adaptive radius: A case study on aspect based sentiment analysis, IEEE Swarm Intelligence Symposium in IEEE Symposium Series on Computational Intelligence, Hawaii, United States, 2017.

Kevin Mather, Parimala Thulasiraman and Ruppa K. Thulasiram, A parallel firefly meta-heuristics algorithm for financial option pricing, IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (CIFEr) in IEEE Symposium Series on Computational Intelligence, Hawaii, United States, 2017.

Md. Qasem, Ying Ying Liu, Ziyue Wang, Parimala Thulasiraman and Ruppa K. Thulasiram, Enhancing ant brooding clustering with adaptive radius of perception and non-parametric estimation on multi-core architectures, The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS), Nature’s-Inspired Parallel Collaborative Systems Track, Ryerson University, August 24-26, 2017.

Ying Ying Liu and Parimala Thulasiraman, A self fixing intelligent ant-based algorithm for graph clustering, The Workshop on Biological Distributed Algorithms (Poster), ACM Symposium on Distributed Computing (PODC), Washington, DA, July 23-26, 2017.

Ruppa K. Thulasiram, Gobind Preet Singh, Parimala Thulasiraman, A novel firefly algorithm for pricing financial options , ASAC, Montreal, QC, May 29-31, 2017.

Wayne Franz and Parimala Thulasiraman, A dynamic cooperative hybrid MPSO+GA on hybrid CPU+GPU fused multicore, IEEE Symposium Series on Computational Intelligence, Athens, Greece, Dec. 6-9, 2016.

Gobind Preet Singh, Ruppa K. Thulasiram and Parimala Thulasiraman, Non-dominant sorting firefly algorithm for pricing American option, IEEE Symposium Series on Computational Intelligence, Athens, Greece, Dec. 6-9, 2016.

Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram, Parallelizing active memory ants with mapReduce for clustering financial time series data , The 6th IEEE International Conference on Big Data and Cloud Computing, Atlanta, GA, October 8-10, 2016.

Md. Qasem, Parimala Thulasiraman and Ruppa K. Thulasiram, A parallel algorithm to price American style compound options, Proceedings for the 2016 The Administrative Sciences Association of Canada (ASAC) Conference, Edmonton, Alberta, June 4-6, 2016.

Viridiana U. Ramirez, Jose J. Mijares Chan, Michael Butler, V. Jung and Parimala Thulasiraman, Serum free media optimization for MRC-5 cells using definitive screening design, 65th Canadian Chemical Engineering Conference, October 2015.

="http://www.udel.edu/images/sphere/cyan14.gif"> Jose Juan Mijares Chan, Yuyin Mao, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram, Parallel ant brood graph partitioning in Julia, 11th International Conference on Parallel Processing and Applied Mathematics, LNCS 9574, Krakow, Poland, Sept. 6-9, 2015.

Mohammed Qasem, Ruppa K. Thulasiram and Parimala Thulasiraman, Twitter sentiment classification using machine learning techniques for stock markets, The IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), Special Session on Advances in Data and Knowledge Engineering, Kochi, Kerala, August 10-13, 2015.

Jose Juan Mijares Chan, Parimala Thulasiraman, Gabriel Thomas and Ruppa Thulasiram, Stationarity enforcement of accelerator based TRNG by genetic algorithm, The 5th IEEE International Symposium on Trust and Security in Cloud Computing in conjunction with The 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-15), Helsinki, Finland, August 20-22, 2015.

Mehdi Niknam and Parimala Thulasiraman, An adaptive learning path recommendation based on meaningful learning theory using ant colony optimization, The 15th TASET International Education Technology Conference and International Research Symposium on E-Learning and New Media, Istanbul, Turkey, May 27-29, 2015.

Olayinka Idowu Oduntan, Parimala Thulasiraman and Ruppa K. Thulasiram, Portfolio diversification using ant brood sorting clustering, 6th World Congress on Nature and Biologically Inspired Computing, Porto, Portugal, July 30-Aug.1, 2014.

Wayne Franz, Parimala Thulasiraman and Ruppa K. Thulasiram, Effect of communication topologies on hybrid evolutionary algorithms, 6th World Congress on Nature and Biologically Inspired Computing, Porto, Portugal, July 30-Aug.1, 2014.

Wayne Franz, Parimala Thulasiraman and Ruppa K. Thulasiram, Memory efficient multi-swarm PSO algorithm in OpenCL on APU, The 13th International Conference on Algorithms and Architectures for Parallel Processing, Vietri sul Mare, Italy, Dec. 18-21, 2013.

Ranjan Saha, Bhanu Sharma, Parimala Thulasiraman, Ruppa K. Thulasiram, A novel architecture for financial investment services on a private Cloud, The 13th International Conference on Algorithms and Architectures for Parallel Processing, Vietri sul Mare, Italy, Dec. 18-21, 2013.

Sameer Kumar, Ruppa Thulasiram and Parimala Thulasiraman, A novel application of ACO to price transmission rights in electricity markets, IEEE 5th World Congress on Nature and Biologically Inspired Computing (NaBiC) 2013, Fargo, ND, Aug. 12-14, 2013.

="http://www.udel.edu/images/sphere/cyan14.gif"> Jose Juan Mijares Chan, Gagan Battoo, Parimala Thulasiraman and Ruppa K. Thulasiram, Effects of finite difference time domain on GPU, 10th International Conference on Parallel Processing and Applied Mathematics (PPAM), Warsaw, Poland, September 8-11, 2013.

Wayne Franz, Parimala Thulasiraman and Ruppa K. Thulasiram, Optimization of an OpenCL-based multi-swarm PSO algorithm on an APU, 10th International Conference on Parallel Processing and Applied Mathematics (PPAM), Warsaw, Poland, September 8-11, 2013.

Eid Albalawi, Parimala Thulasiraman and Ruppa K. Thulasiram, Task level parallelization of all pair shortest path algorithm in OpenMP 3.0, Los Angeles, CA, July 1-2, 2013.

Himani Rana, Parimala Thulasiraman and Ruppa K. Thulasiram, MAZACORNET: Mobility Aware Zone Based Ant Colony Optimization Routing for VANET, IEEE Congress on volutionary Computation (CEC), Cancun, Mexico, June 2013.

Manitpal Singh Sidhu, Parimala Thulasiraman and Ruppa K. Thulasiram, A load-rebalance PSO algorithm for task matching in heterogeneous computing systems, IEEE Symposium Series on Computational Intelligence, Singapore, April 2013.

Saurabh Kumar Garg, Bhanu Sharma, Rodrigos N. Calheiros, Ruppa K. Thulasiram, Parimala Thulasiraman, and Rajkumar Buyya, Rendering financial application as a software service on Cloud, The 5th International Conference on Contemporary Computing (IC3), Noida, India, August 2012.

Matthew Doerksen, Steven Solomon, Parimala Thulasiraman and Ruppa K. Thulasiram, Financial option pricing on APU, The 5th International Conference on Contemporary Computing (IC3), Noida, India, August 2012.

Bahman Javadi, Parimala Thulasiraman and Rajkumar Buyya, Cloud resource provisioning to extend the capacity of local resources in the presence of failures, The 14th IEEE International Conference on High Performance Computing and Communications (HPCC), Liverpool, UK, June 25-27, 2012.

Matthew Doerksen, Parimala Thulasiraman and Ruppa K. Thulasiram, Optimizing option pricing algorithms and profiling power consumption on VLIW APU architecture, The 10th International Symposium on Parallel and Distributed Processing with Applications, Madrid, Spain, July 10-13, 2012.

Bhanu Sharma, Ruppa K. Thulasiram and Parimala Thulasiraman, Portfolio management using particle swarm optimization on GPU, The 10th International Symposium on Parallel and Distributed Processing with Applications, Madrid, Spain, July 10-13, 2012.

Bhanu Sharma, Parimala Thulasiraman and Ruppa K. Thulasiram, Pricing Cloud compute commodities: A novel financial economic model, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Ottawa, ON, Canada, May 13-16 2012.

Jose J. Mijares Chan, Bhanu Sharma, Jiaqing Lv, Gabriel Thomas, Ruppa Thulasiram, Parimala Thulasiraman, True random number generator using GPUs and histogram equalization techniques, The 13th IEEE International Conference on High Performance Computiing and Communications (HPCC), Banff, Alberta, Canada, Sept. 2-4, 2011.

Matthew Doerksen, Steven Solomon, Parimala Thulasiraman, Designing APU oriented scientific computing applications in OpenCL, International Symposium on Advances of High Performance Computing and Networking in Conjunction with HPCC 2011, Banff, Alberta, Canada, Sept. 2-4, 2011.

Steven Solomon, Parimala Thulasiraman and Ruppa K. Thulasiram, Collaborative multi-swarm PSO for task matching using graphics processing units, ACM Genetic and Evolutionary Computation Conference (GECCO), Dublin, Ireland, 2011.

Sameer K. Singh, Ruppa K. Thulasiram and Parimala Thulasiraman, Pricing transmission rights using ant colony optimization, ACM Genetic and Evolutionary Computation Conference (GECCO), Dublin, Ireland, July 2011.

Steven Solomon, Parimala Thulasiraman and Ruppa K. Thulasiram, Exploiting the GPU for multiple swarm collaborative PSO for task scheduling Cloud environment, Laurier Centennial Conference: International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, ON, July 25-29, 2011 (Invited Talk).

Steven Solomon, Parimala Thulasiraman and Ruppa K. Thulasiram, Exploiting parallelism in iterative maxflow computations on GPU accelerators, The 12th IEEE International Conference on High Performance Computing and Communications, Melbourne, Australia, September 2010, pp.297-304, 2010.

Steven Solomon, Ruppa K. Thulasiram and Parimala Thulasiraman, Option pricing on the GPU, The 12th IEEE International Conference on High Performance Computing and Communications, Melbourne, Australia, September 2010, pp. 289-296.

Meilian Xu and Parimala Thulasiraman, Rotation based algorithm for parallelizing OS-SART for CT on homogeneous multicore architecture, The 12th IASTED International Conference on Signal and Image Processing, Maui, Hawaii, 2010.

Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram and Girish K. Jha, Performance evaluation of PSO based algorithm for option pricing on homogeneous multicore architecture, The 5th IASTED International Conference on Computational Intelligence, Maui, Hawaii, 2010.

Steven Solomon and Parimala Thulasiraman, Mapping the MPM maximum flow Algorithm on GPUs, High Performance Computing Symposium, June 6-9, Toronto, CA, 2010.; IOPScience Journal of Physics: Conf. Series (JPCS), Toronto, Canada.

Mehdi Niknam, Parimala Thulasiraman, Sergio Carmolinga, A parallel algorithm for connected component labeling of gray-scale images on homogeneous multicore architectures, High Performance Computing Symposium, June 6-9, Toronto, CA, 2010.

Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram and Girish K. Jha, Particle swarm optimization algorithm for option pricing, Late breaking paper, ACM Genetic and Evolutionary Computation Conference (GECCO), Portland, OR, July 2010.

Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram and Girish K. Jha, Particle swarm optimization algorithm for option pricing, IEEE 3rdInternational Workshop on Parallel and Distributed Computing in Finance, of the 24th IEEE/ACM Intl. Parallel and Distributed Processing Symposium, April 19-23, 2010, Atlanta, GA, USA.

Steven Solomon and Parimala Thulasiraman, Performance study of mapping irregular computations on GPUs, Proceedings of the 24th IEEE/ACM International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC), April 19-23, 2010, Atlanta, GA, USA.

Sameer Kumar, Gitika Chadha, Parimala Thulasiraman and Ruppa K. Thulasiram, Ant colony optimization to price exotic options, IEEE Congress on Evolutionary Computation, Trondheim, Norway, May 2009, pp. 2366-2373.

="http://www.udel.edu/images/sphere/cyan14.gif">Girish K. Jha, Parimala Thulasiraman and Ruppa K. Thulasiram, PSO based neural network for time series forecasting , IEEE Proceedings of the International Joint Conf. Neural Networks, Atlanta, GA, June 2009.

Girish K. Jha, Sameer Kumar, Hari Prasain, Parimala Thulasiraman and Ruppa K. Thulasiram, Option pricing using particle swarm optimization, The ACM Canadian Conference on Computer Science and Software Engineering (C3S2E), Montreal, Quebec, May 2009, pp.267-272.

David Allenotor, Ruppa K. Thulasiram, and Parimala Thulasiraman, A financial option based grid resources pricing model: Towards an equilibrium between service quality for user and profitability for service providers, Springer-Verlag Proc. 4th Intl. Conf. on Grid and Pervasive Computing, Geneva, Switzerland, May 4-7, Vol.5529, pp.13-24, 2009.

Y. Shankar, S. Kumar, G.K. Jha, R.K. Thulasiram and P. Thulasiraman, An aggregated ant colony optimization approach for pricing options, IEEE Workshop on Parallel and Distributed Computing in Finance (CD-RoM), May 2009, Rome, Italy.

G. K. Jha, R. K. Thulasiram and P. Thulasiraman, Comparison of adaptive neuro-fuzzy and particle swarm optimization, Proceedings of Administrative Sciences Association of Canada (CD-RoM) June 2009, Niagara, ON.

Meilian Xu, Parimala Thulasiraman and Ruppa K. Thulasiram, Exploiting data locality in FFT using indirect swap network on Cell/B.E., High Performace Computing Symposium, Quebec City, QC, June 2008.

Cameron Melvin, Meilian Xu and Parimala Thulasiraman, HPC for iterative image reconstruction in CT, The ACM Canadian Conference on Computer Science and Software Engineering (C3S2E), Montreal, Quebec, May 2008.

Sameer Kumar, Ruppa K. Thulasiram and Parimala Thulasiraman, A bioinspired algorithm to price options, The ACM Canadian Conference on Computer Science and Software Engineering (C3S2E), Montreal, Quebec, May 2008.

Santan Challa and Parimala Thulasiraman, Protein sequence discovery on distributed supercomputer, International Conference on Grid and Pervasive Computing, Kunming, China, May 2008.

Meilian Xu and Parimala Thulasiraman, Finite-difference time-Domain on the Cell/B.E. processor, The 9th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, Miami, US, April 2008.

Eseosa S. Osagie, Parimala Thulasiraman and Ruppa K. Thulasiram, PACONET: imProved Ant Colony Optimization routing algorithm for mobile ad hoc NETworks, The IEEE 22nd International Conference on Advanced Information Networking and Applications, GinoWan, Japan, March 25-28, 2008, pp.204-211.

Meilian Xu, Abas Sabouni, Parimala Thulasiraman, Sima Naghonian, Stephen Pistorius, Image reconstruction using microwave tomography for breast cancer detection on distributed memory machine, The 36thInternational Conference on Parallel Processing, Xian, China, September 10-14, 2007, pp. 36-43.

Abas Sabouni, Meilian Xu, Sima Noghanian, Parimala, Thulasiraman, Stephen Pistorius, Efficient microwave breast imaging technique using parallel finite difference time domain and parallel genetic algorithms, 2007 IEEE AP-S International Symposium on Antennas and Propagation in Honolulu, Hawaii, USA on June 10-15, 2007.

Santan Challa and Parimala Thulasiraman, A graph based approach to discover conserved regions in DNA and protein sequences, IEEE Symposium on Bioinformatics and Life Science Computing, Niagara Falls, ON, Canada, May 21-23, 2007, pp. 232-243.

Meilian Xu, Abas Sabouni, Parimala Thulasiraman, Sima Noghanian and Stephen Pistorius, A parallel algorithmic approach to microwave tomography in breast cancer detection, The 8th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, Long Beach, CA, March 26-30 2007.

Kiran Kola, Amit Chhabra, Ruppa K. Thulasiram and Parimala Thulasiraman, A software architecture framework for on-line option pricing, Proceedings of the 4th International Symposium on Parallel and Distributed Processing and Applications (ISPA-06) , Sorrento, Italy, Dec.4-7, 2006; (LNCS Vol. 4330, pp.747-759, 2006). (Awarded BEST PAPER)

Weirong Zhu, Parimala Thulasiraman, Ruppa K. Thulasiram and Guang R. Gao, Exploring financial applications on many-core-on-a-chip architecture: A first experiment, Proceedings of the 4th International Symposium on Parallel and Distributed Processing and Applications (ISPA-06) , Sorrento, Italy, Dec.4-7, 2006; (LNCS Vol. 4331, pp.221-230, 2006)

Ruppa K. Thulasiram, Gong Chen, Parimala Thulasiraman and K.P.J. Reddy, Direct microscopic simulation of price particles for option pricing, 3rd Econophysics, Tokyo, Japan, Nov.23-25, 2006.

Gong Chen, Parimala Thulasiraman and Ruppa K. Thulasiram, Distributed quasi-Monte Carlo algorithm for option pricing on HNOWs using mpC, IEEE Computer Society 39th Annual Simulation Symposium, Huntsville, AL, April 2-6, 2006.

Sajib Barua, Ruppa K. Thulasiram, and Parimala Thulasiraman, High performance computing for a financial application using fast Fourier transform, Proc. European Parallel Computing Conference, (EuroPar 2005), Lisbon, Portugal, Aug.30-Sep2, 2005 (LNCS Vol.3648; pp.1246-1253).

Ruppa K. Thulasiram, Parimala Thulasiraman, and Md. Rashedur Rahman, Wavelet optimized finite-difference approach to solve jump-diffusion type partial differential equation for option pricing, Proc. Society for Computational Economics (SCE) 5th International Conference on Computing in Economics and Finance (CEF05), Washington, DC, USA, June 2005.

Amit Chabbra, Parimala Thulasiraman and Rupp K. Thulasiram, Distributed computing with CORBA and multithreading with Java OpenMP on NoCs: A framework for CFD, Proceedings (CD-ROM) of the 12th International Conference on Advanced Computing and Communications, Ahmedabad, India, December 2004.

Daniel Martin, Parimala Thulasiraman and Richard Gordon, Local independence in computed tomography as a basis for parallel computing, Workshop on Alternatives to Mammography (WAM), Winnipeg, MB, September 18-20, 2004.

Rajesh Palit, Ekram Hossain and Parimala Thulasiraman, Mobility-Aware Pro-active Low Energy (MAPLE) Clustering in ad hoc mobile wireless networks, IEEE Globecom 2004 - Wireless Communications, Networks, and Systems, Dallas, Texas, November 29-December 3.

Amit Chabbra, Parimala Thulasiraman, Mohammad Towhidul Islam and Ruppa K. Thulasiram, An OpenMP implementation of FTCS method for reduced Black-Scholes equation, Proceedings of the 18th Annual International Symposium on High Performance Computing Systems and Applications, Winnipeg, MB, Canada, May 16 2004.

Sajib Barua, Ruppa K. Thulasiram, and Parimala Thulasiraman, Fast Fourier transform for option pricing: improved mathematical modeling and design of efficient parallel algorithm, Proceedings (CD-RoM)of the International Conference on Computational Science and its Applications, Assisi, Italy, May 14-17, 2004 also to appear as Springer Series: Lecture Notes in Computer Science).

Sajib Barua, Ruppa K. Thulasiram, and Parimala Thulasiraman, Improving data locality in parallel fast Fourier transform algorithm for pricing financial derivatives, Proceedings (CD-RoM) of the IPDPS Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC), Santa Fe, NM, USA, April 26-29, 2004.

Ruppa K. Thulasiram, Rashedur Md. Rahman, and Parimala Thulasiraman, Neural network training algorithms on parallel architectures for finance applications, Proceedings of the ICPP Workshop on High Performance Scientific and Engineering Computing and Applications (HPSECA), Kaohsiung, Taiwan, ROC, October 6-9, 2003.

Shony Abraham, Sajib Barua, Parimala Thulasiraman and Ruppa K. Thulasiram, A distributed implementation of fast Fourier transform on the indirect swap networks, Canadian Conference on Electrical and Computer Engineering, IEEE Canada, Montreal, Quebec, May 2003.

Mohammad T. Islam, Parimala Thulasiraman and Ruppa K.Thulasiram, A parallel ant colony optimization algorithm for all-pair routing in MANETs, Proceedings (CD-RoM) of the IEEE Computer Society Fourth  IPDPS workshop on  Parallel and Distributed Scientific and  Engineering Computing with Applications (PDSECA-2003), Nice, France, April 2003.

Parimala Thulasiraman and Ashfaq A. Khokhar, An asynchronous multithreaded algorithm for a class of linear programming problems, 15th International Conference on Parallel and Distributed Computing Systems (ISCA PDCS 2002), The Galt House, Louisville, KY, USA , September 19 - 21, 2002.

Rashedur M. Rahman, Ruppa K. Thulasiram and Parimala Thulasiraman, Forecasting stock prices using neural networks on a Beowulf cluster, Fourteenth IASTED International Conference on Parallel and Distributed Computing Systems (IASTED PDCS 2002), Cambridge, USA , November 4-6, 2002.

Ruppa K. Thulasiram, Parimala Thulasiraman, Chima Adiele, and Dmitri Bondarenko, Performance analysis of a multithreaded pricing algorithm on Cilk, Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications (HPCS'2002), Moncton, NB, Canada, June 17-19, 2002.

Quang Trinh, Arindam Mitra, Ruppa K. Thulasiram and Parimala Thulasiraman, A multi-agent algorithm for financial derivatives, Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), Orlando,USA, July 14-18, 2002.

R.K.Thulasiram and P. Thulasiraman, A parallel fast Fourier transform algorithm for derivative pricing, ITCOM, August 2001, Denver, Co.

P. Thulasiraman, K. Theobald, A.A. Khokhar, G.R. Gao, Multithreaded algorithms for the fast Fourier transform, Symposium on Parallel Algorithms and Architectures (SPAA), June 2000, Bar Harbor, Maine.

A.A. Khokhar, G. Heber, P. Thulasiraman and G.R. Gao, Load adaptive algorithms and implementations for the 2D discrete wavelet transform on fine-grain multithreaded architectures, IPPS/SPDP 1999, San Juan, Puerto Rico.

Gerd Heber, Ruppak Biswas, Parimala Thulasiraman, Guang R. Gao, Using multithreading for the automatic load balancing of 2D adaptive finite element meshes, Irregular 1998.

Parimala Thulasiraman and Guang Gao, Multithreaded implementation of a max-flow algorithm on EARTH multiprocessor, INFORMS 1997.

Parimala Thulasiraman, Ximin Tian and Guang R. Gao, Implementation of the distributed shortest path algorithm on EARTH, HiPC, Trivandrum, India, Dec. 1996.

K. Thulasiraman, R. Chalasani, P. Thulasiraman, M.A. Comeau, Parallel network primal dual method on a shared memory multiprocessor and application in VLSI layout compaction and wire balancing, VLSI Design, Bombay, India, Jan. 1993.

Book Chapter

Matthew Doerksen, Parimala Thulasiraman and Ruppa K. Thulasiram, Algorithm and Performance Analysis of Scientific Applications using OpenCL on Fusion APUs , Scalable computing and communications: theory and practice, John Wiley & Sons, Editors: Samee U. Khan, Lizhe Wang, and Albert Y. Zomaya, January 2013.

Himani Rana and Parimala Thulasiraman and Ruppa K. Thulasiram, ACO Based Routing Protocols and Algorithms for MAETs and VANETs, Bio-inspired Solutions for Wireless Ad-hoc and Sensor Networks in Springer Studies in Computational Intelligence Series, Springer 2011, Editor: Christian Blum.

Steven Solomon and Parimala Thulasiraman and Ruppa K. Thulasiram, Scheduling Using Multiple Swarm Particle Optimization with Memetic Features on Graphics Processing Units, Evolutionary Computation on Graphics Processing Units in Springer Natural Computing Series, February 2012, Editors: Shigeyoshi Tsutsui and Pierre Collet.

Ruppa K. Thulasiram and Parimala Thulasiraman, Pricing Algorithms for Financial Derivatives, Algorithms and Theory of Computation Handbook, Second Edition, Volume 2: Special Topics and Techniques, CRC Press, November 2009, Editors: Mikhail Atallah and Marina Blanton.

Meilian Xu, Parimala Thulasiraman and Ruppa K. Thulairam, Cell Processing for Two Scienctific Computing Kernels, Handbook of Research on Scalable Computing Technologies, IGI Global, (25 pages), 2009, Editors: Kuan-Ching Li, Ching-Hsien Hsu, Laurence Yang, Jack Dongarra and Hans Zima.

Sameer Kumar, Parimala Thulasiraman and Ruppa K. Thulasiram, ACO for Option Pricing, Natural Computing in Computational Finance - Volume II, Springer Verlag, 2008, Editor: Anthony Brabazon.

Parimala Thulasiraman, Ruppa K. Thulasiram and Mohammad Towhidul Islam, An Ant Colony Optimization Based Routing Algorithm in Mobile Ad hoc Networks and its Parallel Implementation, in High Performance Scientific and Engineering Computing: Hardware/Software Support, Kluwer Academic Publishers, Chapter 18, Pages 267-284, 2004, Editors:Laurence Tianruo Yang, Yi Pan.

Ekram Hossain, Rajesh Palit and Parimala Thulasiraman, Clustering in Mobile Wireless Ad hoc Networks, Wireless Communications Systems and Networks Kluwer Academic/Plenum Publishers, ISBN 0-306-48190-1, April 2004, Editor: Mohsen Guizani.

Edited Books

Thulasiraman, P., He, X., Xu, T.L., Denko, M.K., Thulasiram, R.K., Yang, L.T. (Eds.) (2007) Springer Frontiers of High Performance Computing and Networking, Proceedings of the ISPA 2007 Workshops, Vol. 4743, 2007, (ISBN 978-3-540-74766-6).