Name
Title | ||
|---|---|---|
Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices |
Abstract | ||
|---|---|---|
Edge devices are seeing tremendous growth in sensing and computational capabilities. Running state-of-the-art deep neural network (NN) based data processing on multi-core CPU processors, embedded Graphics Processing Units (GPU), Tensor Processing Units (TPU), Neural Processing Units (NPU), Deep Learning Accelerators (DLA) etc., edge devices are now able to handle heavy data computations with limit... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IISWC53511.2021.00030 | 2021 IEEE International Symposium on Workload Characterization (IISWC) |
Keywords | DocType | ISBN |
Deep learning,Performance evaluation,Tensors,Graphics processing units,Artificial neural networks,Predictive models,Software | Conference | 978-1-6654-4173-5 |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omais Shafi | 1 | 1 | 0.39 |
| Chinmay Rai | 2 | 1 | 0.39 |
| Rijurekha Sen | 3 | 1 | 0.39 |
| Gayathri Ananthanarayanan | 4 | 16 | 2.24 |