Externalities, Average and Marginal Costs, and Tolls on Congested Networks with Time-Varying Flows. - Malachy Carey; Ashok Srinivasan (Oper. Res., 1993)

Optimal Parallel Prefix on Mesh Architectures. - Ömer Egecioglu; Ashok Srinivasan (Parallel Algorithms Appl., 1993)

Experimental Studies on a Compact Storage Scheme for Wavelet-Based Multiresolution Subregion Retrieval. - Athanassios S. Poulakidas; Ashok Srinivasan; Ömer Egecioglu; Oscar H. Ibarra; Tao Yang 009 (Data Compression Conference, 1996)

Domain Decomposition for Particle Methods on the Sphere. - Ömer Egecioglu; Ashok Srinivasan (IRREGULAR, 1996)

A Compact Storage Scheme for Fast Wavelet-Based Subregion Retrieval. - Athanassios S. Poulakidas; Ashok Srinivasan; Ömer Egecioglu; Oscar H. Ibarra; Tao Yang 009 (COCOON, 1997)

Classical Monte Carlo with a Fast High-Quality Pseudo Random Number Library in Java. - Muhammad Z. Hydari; David Ceperley; Ashok Srinivasan; Michael Mascagni (PP, 1999)

Improving Access to Science and Math Education in Western Pennsylvania. - Ashok Srinivasan; Robert P. Strauss (Interfaces, 1999)

Efficient Nonparametric Density Estimation on the Sphere with Applications in Fluid Mechanics. - Ömer Eugeciouglu; Ashok Srinivasan (SIAM J. Sci. Comput., 2000)

Image compression for fast wavelet-based subregion retrieval. - Athanassios S. Poulakidas; Ashok Srinivasan; Ömer Egecioglu; Oscar H. Ibarra; Tao Yang 009 (Theor. Comput. Sci., 2000)

Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. - Michael Mascagni; Ashok Srinivasan (ACM Trans. Math. Softw., 2000)

Corrigendum: Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. - Michael Mascagni; Ashok Srinivasan (ACM Trans. Math. Softw., 2000)

Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications. - Ashok Srinivasan; Michael Mascagni (International Conference on Computational Science (2), 2002)

Parallel and Distributed Computing Issues in Pricing Financial Derivatives through Quasi Monte Carlo. - Ashok Srinivasan (IPDPS, 2002)

Improved Monte Carlo Linear Solvers Through Non-diagonal Splitting. - Ashok Srinivasan; Vikram Aggarwal (ICCSA (3), 2003)

Testing parallel random number generators. - Ashok Srinivasan; Michael Mascagni; David Ceperley (Parallel Comput., 2003)

Parallel Simulation of Carbon Nanotube Based Composites. - Jyoti Kolhe; Usha Chandra; Sirish Namilae; Ashok Srinivasan; Namas Chandra (HiPC, 2004)

Parameterizing parallel multiplicative lagged-Fibonacci generators. - Michael Mascagni; Ashok Srinivasan (Parallel Comput., 2004)

Application of Reduce Order Modeling to Time Parallelization. - Ashok Srinivasan; Yanan Yu; Namas Chandra (HiPC, 2005)

Latency tolerance through parallelization of time in scientific applications. - Ashok Srinivasan; Namas Chandra (Parallel Comput., 2005)

Scalable Time-Parallelization of Molecular Dynamics Simulations in Nano Mechanics. - Yanan Yu; Ashok Srinivasan; Namas Chandra (ICPP, 2006)

Poster reception - Data-driven time parallelization. - Lei Ji; Yanan Yu; Namas Chandra; Hugh Nymeyer; Ashok Srinivasan (SC, 2006)

Optimization of Collective Communication in Intra-cell MPI. - M. K. Velamati; Arun Kumar 004; Naresh Jayam; Ganapathy Senthilkumar; Pallav K. Baruah; Raghunath Sharma; Shakti Kapoor; Ashok Srinivasan (HiPC, 2007)

A Buffered-Mode MPI Implementation for the Cell BETM Processor. - Arun Kumar 004; Ganapathy Senthilkumar; Murali Krishna; Naresh Jayam; Pallav K. Baruah; Raghunath Sharma; Ashok Srinivasan; Shakti Kapoor (International Conference on Computational Science (1), 2007)

Data-Driven Time-Parallelization in the AFM Simulation of Proteins. - Lei Ji; Hugh Nymeyer; Ashok Srinivasan; Yanan Yu (IPDPS, 2007)

A Synchronous Mode MPI Implementation on the Cell BETM Architecture. - Murali Krishna; Arun Kumar 004; Naresh Jayam; Ganapathy Senthilkumar; Pallav K. Baruah; Raghunath Sharma; Shakti Kapoor; Ashok Srinivasan (ISPA, 2007)

Feasibility study of MPI implementation on the heterogeneous multi-core cell BETM architecture. - Arun Kumar 004; Naresh Jayam; Ashok Srinivasan; Ganapathy Senthilkumar; Pallav K. Baruah; Shakti Kapoor; Murali Krishna; Raghunath Sharma (SPAA, 2007)

Leadership and Competition in Network Supply Chains. - Pranab Majumder; Ashok Srinivasan (Manag. Sci., 2008)

Optimizing assignment of threads to SPEs on the cell BE processor. - C. Devi Sudheer; T. Nagaraju; Pallav K. Baruah; Ashok Srinivasan (IPDPS, 2009)

Dynamic iterations for the solution of ordinary differential equations on multicore processors. - Yanan Yu; Ashok Srinivasan (IPDPS, 2009)

Processor affinity and MPI performance on SMP-CMP clusters. - Chi Zhang; Xin Yuan 001; Ashok Srinivasan (IPDPS Workshops, 2010)

Small Discrete Fourier Transforms on GPUs. - S. Mitra; Ashok Srinivasan (CCGRID, 2011)

Hybrid dynamic iterations for the solution of initial value problems. - Yanan Yu; Ashok Srinivasan (J. Parallel Distributed Comput., 2011)

Optimization of the hop-byte metric for effective topology aware mapping. - C. Devi Sudheer; Ashok Srinivasan (HiPC, 2012)

Reuse and Refactoring of GPU Kernels to Design Complex Applications. - Santonu Sarkar; Sayantan Mitra; Ashok Srinivasan (ISPA, 2012)

Dynamic load balancing for petascale quantum Monte Carlo applications: The Alias method. - C. Devi Sudheer; S. Krishnan; Ashok Srinivasan; P. R. C. Kent (Comput. Phys. Commun., 2013)

Efficient Barrier Implementation on the POWER8 Processor. - C. Devi Sudheer; Ashok Srinivasan (HiPC, 2015)

Optimizing Massively Parallel Simulations of Infection Spread Through Air-Travel for Policy Analysis. - Ashok Srinivasan; C. Devi Sudheer; Sirish Namilae (CCGrid, 2016)

Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients. - Negar Farzaneh; S. M. Reza Soroushmehr; Craig A. Williamson; Cheng Jiang 003; Ashok Srinivasan; Jayapalli R. Bapuraj; Kevin R. Ward; Frederick K. Korley; Kayvan Najarian (EMBC, 2017)

Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. - Lubomir M. Hadjiiski; Heang-Ping Chan; Kenny H. Cha; Ashok Srinivasan; Jun Wei 002; Chuan Zhou 002; Mark Prince; Silvana Papagerakis (Computer-Aided Diagnosis, 2017)

Parallel Low Discrepancy Parameter Sweep for Public Health Policy. - Sudheer Chunduri; Meysam Ghaffari; Mehran Sadeghi Lahijani; Ashok Srinivasan; Sirish Namilae (CCGrid, 2018)

High-resolution home location prediction from tweets using deep learning with dynamic structure. - Meysam Ghaffari; Ashok Srinivasan; Xiuwen Liu (ASONAM, 2019)

Next-generation high-resolution vector-borne disease risk assessment. - Meysam Ghaffari; Ashok Srinivasan; Anuj Mubayi; Xiuwen Liu; Krishnan Viswanathan (ASONAM, 2019)

Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes. - Mehran Sadeghi Lahijani; Tasvirul Islam; Ashok Srinivasan; Sirish Namilae (CoRR, 2019)

Leveraging Location Based Services for Analysis of Suicides in Rural Counties. - Barry Sly-Delgado; Meysam Ghaffari; Aastha Gunjan; Cynthia Brandt; Joseph L. Goulet; Karen H. Wang; Ashok Srinivasan (AMIA, 2020)

High-resolution home location prediction from Twitter activities using consensus deep learning. - Meysam Ghaffari; Ashok Srinivasan; Xiuwen Liu; Shayok Chakraborty (Soc. Netw. Anal. Min., 2021)

Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis. - Sevcan Turk; Kaya Oguz; Mehmet Orman; Emre Çaliskan; Yesim Ertan; Erkin Ozgiray; Taner Akalin; Ashok Srinivasan; Omer Kitis (CoRR, 2022)

Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. - Elisa Warner; Joonsang Lee; Santhoshi Krishnan; Nicholas Wang; Shariq Mohammed; Ashok Srinivasan; Jayapalli R. Bapuraj; Arvind Rao (EMBC, 2023)

Training Variational Autoencoders for Population Synthesis in Public Health with Missing Data. - Nathan Blackthorn; Andrew Arash Mahyari; Ashok Srinivasan (IEEE Big Data, 2024)

Toward a Real-Time Digital Twin Framework for Infection Mitigation During Air Travel. - Ashok Srinivasan; Satkkeerthi Sriram; Sirish Namilae; Andrew Arash Mahyari (CoRR, 2024)