| Edge-connected jaccard similarity for graph link prediction on fpga P Sathre, A Gondhalekar, W Feng 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-10, 2022 | 11 | 2022 |
| ComputeCOVID19+: Accelerating COVID-19 diagnosis and monitoring via high-performance deep Learning on CT images G Goel, A Gondhalekar, J Qi, Z Zhang, G Cao, W Feng Proceedings of the 50th International Conference on Parallel Processing, 1-11, 2021 | 10 | 2021 |
| Exploring FPGA optimizations in OpenCL for breadth-first search on sparse graph datasets A Gondhalekar, W Feng 2020 30th International Conference on Field-Programmable Logic and …, 2020 | 9 | 2020 |
| On the Characterization of the Performance-Productivity Gap for FPGA A Gondhalekar, T Twomey, W Feng 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2022 | 4 | 2022 |
| Metacl: Automated “meta” opencl code generation for high-level synthesis on fpga P Sathre, A Gondhalekar, M Hassan, W Feng 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2020 | 1 | 2020 |
| On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability A Gondhalekar, W Feng 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2023 | | 2023 |
| Initial Experiences in Porting a GPU Graph Analysis Workload to Chapel P Sathre, A Gondhalekar, W Feng | | 2023 |
| Characterization of Sparsity-aware Optimization Paths for Graph Traversal on FPGA A Gondhalekar Virginia Tech, 2023 | | 2023 |
| Experiences with VITIS AI for Deep Reinforcement Learning N Chaudhury, A Gondhalekar, W Feng | | |
| Hybrid CPU-GPU Implementation of Edge-Connected Jaccard Similarity in Graph Datasets A Gondhalekar, P Sathre, W Feng | | |
