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2020 – today
- 2023
[c32]Elisa Warner, Joonsang Lee, Santhoshi Krishnan, Nicholas Wang
, Shariq Mohammed, Ashok Srinivasan, Jayapalli R. Bapuraj, Arvind Rao:
Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. EMBC 2023: 1-4- 2022
- [i4]Sevcan Turk, Kaya Oguz, Mehmet Orman, Emre Çaliskan, Yesim Ertan, Erkin Ozgiray, Taner Akalin, Ashok Srinivasan, Omer Kitis:
Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis. CoRR abs/2208.06739 (2022) - 2021
- [j14]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty:
High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. 11(1): 95 (2021) - 2020
- [c31]Barry Sly-Delgado, Meysam Ghaffari, Aastha Gunjan, Cynthia Brandt, Joseph L. Goulet, Karen H. Wang, Ashok Srinivasan:
Leveraging Location Based Services for Analysis of Suicides in Rural Counties. AMIA 2020
2010 – 2019
- 2019
- [c30]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu:
High-resolution home location prediction from tweets using deep learning with dynamic structure. ASONAM 2019: 540-542 - [c29]Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan:
Next-generation high-resolution vector-borne disease risk assessment. ASONAM 2019: 621-624 - [i3]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu:
High-resolution home location prediction from tweets using deep learning with dynamic structure. CoRR abs/1902.03111 (2019) - [i2]Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan:
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment. CoRR abs/1908.02558 (2019) - [i1]Mehran Sadeghi Lahijani, Tasvirul Islam, Ashok Srinivasan, Sirish Namilae:
Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes. CoRR abs/1910.05749 (2019) - 2018
- [c28]Sudheer Chunduri, Meysam Ghaffari, Mehran Sadeghi Lahijani, Ashok Srinivasan, Sirish Namilae:
Parallel Low Discrepancy Parameter Sweep for Public Health Policy. CCGrid 2018: 291-300 - 2017
- [c27]Negar Farzaneh, S. M. Reza Soroushmehr, Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli R. Bapuraj, Kevin R. Ward, Frederick K. Korley, Kayvan Najarian:
Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients. EMBC 2017: 3069-3072 - [c26]Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ashok Srinivasan, Jun Wei, Chuan Zhou, Mark Prince, Silvana Papagerakis:
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. Medical Imaging: Computer-Aided Diagnosis 2017: 101341Z - 2016
- [c25]Ashok Srinivasan, C. Devi Sudheer, Sirish Namilae:
Optimizing Massively Parallel Simulations of Infection Spread Through Air-Travel for Policy Analysis. CCGrid 2016: 136-145 - 2015
- [c24]C. Devi Sudheer, Ashok Srinivasan:
Efficient Barrier Implementation on the POWER8 Processor. HiPC 2015: 165-173 - 2013
- [j13]C. Devi Sudheer, S. Krishnan, Ashok Srinivasan, P. R. C. Kent:
Dynamic load balancing for petascale quantum Monte Carlo applications: The Alias method. Comput. Phys. Commun. 184(2): 284-292 (2013) - 2012
- [c23]C. Devi Sudheer, Ashok Srinivasan:
Optimization of the hop-byte metric for effective topology aware mapping. HiPC 2012: 1-9 - [c22]Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan:
Reuse and Refactoring of GPU Kernels to Design Complex Applications. ISPA 2012: 134-141 - 2011
- [j12]Yanan Yu, Ashok Srinivasan:
Hybrid dynamic iterations for the solution of initial value problems. J. Parallel Distributed Comput. 71(11): 1509-1517 (2011) - [c21]S. Mitra, Ashok Srinivasan:
Small Discrete Fourier Transforms on GPUs. CCGRID 2011: 33-42 - 2010
- [c20]Chi Zhang, Xin Yuan, Ashok Srinivasan:
Processor affinity and MPI performance on SMP-CMP clusters. IPDPS Workshops 2010: 1-8
2000 – 2009
- 2009
- [c19]C. Devi Sudheer, T. Nagaraju, Pallav K. Baruah, Ashok Srinivasan:
Optimizing assignment of threads to SPEs on the cell BE processor. IPDPS 2009: 1-8 - [c18]Yanan Yu, Ashok Srinivasan:
Dynamic iterations for the solution of ordinary differential equations on multicore processors. IPDPS 2009: 1-10 - 2008
- [j11]Pranab Majumder, Ashok Srinivasan:
Leadership and Competition in Network Supply Chains. Manag. Sci. 54(6): 1189-1204 (2008) - 2007
- [c17]M. K. Velamati, Arun Kumar, Naresh Jayam, Ganapathy Senthilkumar, Pallav K. Baruah, Raghunath Sharma, Shakti Kapoor, Ashok Srinivasan:
Optimization of Collective Communication in Intra-cell MPI. HiPC 2007: 488-499 - [c16]Arun Kumar, Ganapathy Senthilkumar, Murali Krishna, Naresh Jayam, Pallav K. Baruah, Raghunath Sharma, Ashok Srinivasan, Shakti Kapoor:
A Buffered-Mode MPI Implementation for the Cell BETM Processor. International Conference on Computational Science (1) 2007: 603-610 - [c15]Lei Ji, Hugh Nymeyer, Ashok Srinivasan, Yanan Yu:
Data-Driven Time-Parallelization in the AFM Simulation of Proteins. IPDPS 2007: 1-8 - [c14]Murali Krishna, Arun Kumar, Naresh Jayam, Ganapathy Senthilkumar, Pallav K. Baruah, Raghunath Sharma, Shakti Kapoor, Ashok Srinivasan:
A Synchronous Mode MPI Implementation on the Cell BETM Architecture. ISPA 2007: 982-991 - [c13]Arun Kumar, Naresh Jayam, Ashok Srinivasan, Ganapathy Senthilkumar, Pallav K. Baruah, Shakti Kapoor, Murali Krishna, Raghunath Sharma:
Feasibility study of MPI implementation on the heterogeneous multi-core cell BETM architecture. SPAA 2007: 55-56 - 2006
- [c12]Yanan Yu, Ashok Srinivasan, Namas Chandra:
Scalable Time-Parallelization of Molecular Dynamics Simulations in Nano Mechanics. ICPP 2006: 119-126 - [c11]Lei Ji, Yanan Yu, Namas Chandra, Hugh Nymeyer, Ashok Srinivasan:
Poster reception - Data-driven time parallelization. SC 2006: 148 - 2005
- [j10]Ashok Srinivasan, Namas Chandra:
Latency tolerance through parallelization of time in scientific applications. Parallel Comput. 31(7): 777-796 (2005) - [c10]Ashok Srinivasan, Yanan Yu, Namas Chandra:
Application of Reduce Order Modeling to Time Parallelization. HiPC 2005: 106-117 - 2004
- [j9]Michael Mascagni, Ashok Srinivasan:
Parameterizing parallel multiplicative lagged-Fibonacci generators. Parallel Comput. 30(5-6): 899-916 (2004) - [c9]Jyoti Kolhe, Usha Chandra, Sirish Namilae, Ashok Srinivasan, Namas Chandra:
Parallel Simulation of Carbon Nanotube Based Composites. HiPC 2004: 211-221 - [c8]Ashok Srinivasan, Namas Chandra:
Latency Tolerance through Parallelization of Time in Scientific Applications. IPDPS 2004 - 2003
- [j8]Ashok Srinivasan, Michael Mascagni, David Ceperley:
Testing parallel random number generators. Parallel Comput. 29(1): 69-94 (2003) - [c7]Ashok Srinivasan, Vikram Aggarwal:
Improved Monte Carlo Linear Solvers Through Non-diagonal Splitting. ICCSA (3) 2003: 168-177 - 2002
- [c6]Ashok Srinivasan, Michael Mascagni:
Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications. International Conference on Computational Science (2) 2002: 635-645 - [c5]Ashok Srinivasan:
Parallel and Distributed Computing Issues in Pricing Financial Derivatives through Quasi Monte Carlo. IPDPS 2002 - 2000
- [j7]Ömer Eugeciouglu, Ashok Srinivasan:
Efficient Nonparametric Density Estimation on the Sphere with Applications in Fluid Mechanics. SIAM J. Sci. Comput. 22(1): 152-176 (2000) - [j6]Athanassios S. Poulakidas, Ashok Srinivasan, Ömer Egecioglu, Oscar H. Ibarra, Tao Yang:
Image compression for fast wavelet-based subregion retrieval. Theor. Comput. Sci. 240(2): 447-469 (2000) - [j5]Michael Mascagni, Ashok Srinivasan:
Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. ACM Trans. Math. Softw. 26(3): 436-461 (2000) - [j4]Michael Mascagni, Ashok Srinivasan:
Corrigendum: Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. ACM Trans. Math. Softw. 26(4): 618-619 (2000)
1990 – 1999
- 1999
- [j3]Ashok Srinivasan, Robert P. Strauss:
Improving Access to Science and Math Education in Western Pennsylvania. Interfaces 29(4): 82-95 (1999) - [c4]Muhammad Z. Hydari, David Ceperley, Ashok Srinivasan, Michael Mascagni:
Classical Monte Carlo with a Fast High-Quality Pseudo Random Number Library in Java. PP 1999 - 1997
- [c3]Athanassios S. Poulakidas, Ashok Srinivasan, Ömer Egecioglu, Oscar H. Ibarra, Tao Yang:
A Compact Storage Scheme for Fast Wavelet-Based Subregion Retrieval. COCOON 1997: 353-362 - 1996
- [c2]Athanassios S. Poulakidas, Ashok Srinivasan, Ömer Egecioglu, Oscar H. Ibarra, Tao Yang:
Experimental Studies on a Compact Storage Scheme for Wavelet-Based Multiresolution Subregion Retrieval. Data Compression Conference 1996: 465 - [c1]Ömer Egecioglu, Ashok Srinivasan:
Domain Decomposition for Particle Methods on the Sphere. IRREGULAR 1996: 119-130 - 1993
- [j2]Malachy Carey, Ashok Srinivasan:
Externalities, Average and Marginal Costs, and Tolls on Congested Networks with Time-Varying Flows. Oper. Res. 41(1): 217-231 (1993) - [j1]Ömer Egecioglu, Ashok Srinivasan:
Optimal Parallel Prefix on Mesh Architectures. Parallel Algorithms Appl. 1(3): 191-209 (1993)
Coauthor Index
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