| M³vit: Mixture-of-experts vision transformer for efficient multi-task learning with model-accelerator co-design Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, Z Wang Advances in Neural Information Processing Systems 35, 28441-28457, 2022 | 33* | 2022 |
| FlowGNN: A dataflow architecture for real-time workload-agnostic graph neural network inference R Sarkar, S Abi-Karam, Y He, L Sathidevi, C Hao 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 29* | 2023 |
| Gengnn: A generic fpga framework for graph neural network acceleration S Abi-Karam, Y He, R Sarkar, L Sathidevi, Z Qiao, C Hao arXiv preprint arXiv:2201.08475, 2022 | 11 | 2022 |
| LightningSim: Fast and accurate trace-based simulation for High-Level Synthesis R Sarkar, C Hao 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom …, 2023 | 4 | 2023 |
| Edge-moe: Memory-efficient multi-task vision transformer architecture with task-level sparsity via mixture-of-experts R Sarkar, H Liang, Z Fan, Z Wang, C Hao 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | 3 | 2023 |
| INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing S Abi-Karam, R Sarkar, D Xu, Z Fan, Z Wang, C Hao 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 1 | 2023 |
| LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization R Sarkar, R Paul, C Hao arXiv preprint arXiv:2404.09471, 2024 | | 2024 |
| From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis R Sarkar, C Hao 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom …, 2023 | | 2023 |
| Cask HLS: A Better Development Tool for Vitis HLS A Nazareth, B Perez, R Paul, J Root, R Samanta, W Vaught, S Abi-Karam, ... 2023 IEEE International Opportunity Research Scholars Symposium (ORSS), 20-23, 2023 | | 2023 |
| A Generic FPGA Accelerator Framework for Ultra-Fast GNN Inference R Sarkar, C Hao | | |
Cong (Callie) HaoGeorgia Institute of TechnologyVerified email at gatech.edu
