DO-GPU: Domain Optimizable Soft GPUs | 0 | 0.34 | 2021 |
FlexScore: Quantifying Flexibility | 0 | 0.34 | 2021 |
Specializing FGPU for Persistent Deep Learning | 0 | 0.34 | 2021 |
FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory | 0 | 0.34 | 2020 |
Specializing FGPU for Persistent Deep Learning | 1 | 0.34 | 2019 |
Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. | 0 | 0.34 | 2019 |
Automatic Compiler Based FPGA Accelerator for CNN Training | 2 | 0.46 | 2019 |
Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs | 6 | 0.60 | 2019 |
In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). | 0 | 0.34 | 2018 |
A Faddeev Systolic Array for EKF-SLAM and its Arithmetic Data Representation Impact on FPGA. | 0 | 0.34 | 2018 |
In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC | 0 | 0.34 | 2018 |
A power efficient reconfigurable system-in-stack: 3D integration of accelerators, FPGAs, and DRAM | 1 | 0.36 | 2014 |