As convolutional neural networks (CNN) has been widely employed in deep learning applications, the accelerator for CNN has been proposed. Neural computing unit (NCU), which is an accelerator for CNN, includes thousands of identical cores named multiplier and accumulate (MAC), so testing NCU with the conventional methods are inefficient. This paper proposes a novel method to test NCU by applying test patterns for a MAC to all MACs in NCU. The experimental results indicate that the new method reduces test time to 1.38% and test data volume to 0.03%.
|Title of host publication||Proceedings - International SoC Design Conference 2018, ISOCC 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|Publication status||Published - 2019 Feb 22|
|Event||15th International SoC Design Conference, ISOCC 2018 - Daegu, Korea, Republic of|
Duration: 2018 Nov 12 → 2018 Nov 15
|Name||Proceedings - International SoC Design Conference 2018, ISOCC 2018|
|Conference||15th International SoC Design Conference, ISOCC 2018|
|Country/Territory||Korea, Republic of|
|Period||18/11/12 → 18/11/15|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was supported by Samsung Electronics Company, Ltd., Hwasung, Korea.
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials