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Open-CL based Multi GPU Acceleration for Video Object Detection
- Issue Date
- Jan-2021
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Acceleration; Deep-learning; Multi-GPU; Open-CL; Parallelism
- Citation
- 2021 IEEE International Conference on Consumer Electronics (ICCE) , v.2021-January
- Journal Title
- 2021 IEEE International Conference on Consumer Electronics (ICCE)
- Volume
- 2021-January
- ISSN
- 2158-3994
2158-4001
- Abstract
- Deep-learning technology is widely used in various computer vision tasks. In particular, in a field where high performance is required such as autonomous driving, real-time inference performance of using a highly integrated accelerator is an important. However, frameworks currently provide only vendor-dependent environments, e.g., CUDA, which is problematic in terms of versatility and cost. This paper proposes a general-purpose framework for accelerating object detection performance on real-time video of neural networks based on Open-CL, especially using multi GPUs. Using this approach, the inference speed is faster up to 20 times. ? 2021 IEEE.
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