| Acceleration of spiking neural networks in emerging multi-core and GPU architectures MA Bhuiyan, VK Pallipuram, MC Smith, T Taha, R Jalasutram 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 82 | 2010 |
| A comparative study of GPU programming models and architectures using neural networks VK Pallipuram, M Bhuiyan, MC Smith The Journal of Supercomputing 61, 673-718, 2012 | 51 | 2012 |
| Dynamic localization of HmpF regulates type IV pilus activity and directional motility in the filamentous cyanobacterium Nostoc punctiforme YW Cho, A Gonzales, TV Harwood, J Huynh, Y Hwang, JS Park, AQ Trieu, ... Molecular Microbiology 106 (2), 252-265, 2017 | 34 | 2017 |
| Optimization and performance study of large-scale biological networks for reconfigurable computing MA Bhuiyan, A Nallamuthu, MC Smith, VK Pallipuram 2010 Fourth International Workshop on High-Performance Reconfigurable …, 2010 | 19 | 2010 |
| Increasing SARS-CoV2 cases, hospitalizations, and deaths among the vaccinated populations during the Omicron (B. 1.1. 529) variant surge in UK VR Emani, VK Pallipuram, KK Goswami, KR Maddula, R Reddy, ... medRxiv, 2022.06. 28.22276926, 2022 | 13 | 2022 |
| Evaluation of GPU architectures using spiking neural networks VK Pallipuram, MA Bhuiyan, MC Smith 2011 Symposium on Application Accelerators in High-Performance Computing, 93-102, 2011 | 13 | 2011 |
| A2Cloud‐RF: A random forest based statistical framework to guide resource selection for high‐performance scientific computing on the cloud D Samuel, S Khan, CJ Balos, Z Abuelhaj, AD Dutoi, C Kari, D Mueller, ... Concurrency and Computation: Practice and Experience 32 (24), e5942, 2020 | 11 | 2020 |
| Data migration algorithms in heterogeneous storage systems: A comparative performance evaluation G Roberts, S Chen, C Kari, V Pallipuram 2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017 | 10 | 2017 |
| Acceleration of spiking neural networks on single-GPU and multi-GPU systems VK Pallipuram Master's Thesis, 2010 | 10 | 2010 |
| From HPC performance to climate modeling: Transforming methods for HPC predictions into models of extreme climate conditions R McKinney, VK Pallipuram, R Vargas, M Taufer 2015 IEEE 11th International Conference on e-Science, 108-117, 2015 | 9 | 2015 |
| Acceleration of spiking neural networks on single-gpu and multi-gpu systems V Vivek, P Krishnamani ProQuest document ID 204037751, 2010 | 9* | 2010 |
| A best-features based digital rotoscope I Murphy, T Norlund, VK Pallipuram 2017 51st Asilomar Conference on Signals, Systems, and Computers, 243-247, 2017 | 8 | 2017 |
| A2cloud: An analytical model for application-to-cloud matching to empower scientific computing C Balos, D De La Vega, Z Abuelhaj, C Kari, D Mueller, VK Pallipuram 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 548-555, 2018 | 7 | 2018 |
| A multi-node GPGPU implementation of non-linear anisotropic diffusion filter VK Pallipuram, N Raut, X Ren, MC Smith, S Naik 2012 Symposium on Application Accelerators in High Performance Computing, 11-18, 2012 | 7 | 2012 |
| Performance, optimization, and fitness: Connecting applications to architectures MA Bhuiyan, MC Smith, VK Pallipuram Concurrency and Computation: Practice and Experience 23 (10), 1066-1100, 2011 | 7 | 2011 |
| A regression‐based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters VK Pallipuram, MC Smith, N Raut, X Ren Concurrency and Computation: Practice and Experience 26 (2), 532-560, 2014 | 6 | 2014 |
| Exploring multi-level parallelism for large-scale spiking neural networks VK Pallipuram, MC Smith, N Raut, X Ren Proceedings of the International Conference on Parallel and Distributed …, 2012 | 6 | 2012 |
| Data migration in large scale heterogeneous storage systems with nodes to spare C Kari, S Chen, S Amir-Mohammadian, V Pallipuram 2019 International Conference on Computing, Networking and Communications …, 2019 | 5 | 2019 |
| Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction VK Pallipuram, MC Smith, N Sarma, R Anand, E Weill, K Sapra The Journal of Supercomputing 71, 162-201, 2015 | 4 | 2015 |
| Exploring multiple levels of performance modeling for heterogeneous systems VVP Krishnamani Clemson University, 2013 | 4* | 2013 |
Melissa C. SmithProfessor in Electrical and Computer Engineering, Clemson UniversityVerified email at clemson.edu
