Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators-Reference-Cited by-同舟云学术

Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators

Published:2023-01-01 Issue:1 Volume:11 Page:112-125
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Spantidi Ourania¹^ORCID,Zervakis Georgios²^ORCID,Alsalamin Sami³^ORCID,Roman-Ballesteros Isai⁴^ORCID,Henkel Jörg²^ORCID,Amrouch Hussam²^ORCID,Anagnostopoulos Iraklis¹^ORCID

Affiliation:

1. School of Electrical, Computer and Biomedical Engineering, Southern Illinois University, Carbondale, IL, USA

2. Chair for Embedded System (CES), Department of Computer Science, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

3. Department of Electrical Engineering, Palestine Polytechnic University, Hebron, Palestine

4. Chair for Semiconductor Test and Reliability (STAR), in the Computer Science, Electrical Engineering Faculty, University of Stuttgart, Stuttgart, Germany

Funder

Deutsche Forschungsgemeinschaft

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

https://ieeexplore.ieee.org/ielam/6245516/10058698/9789220-aam.pdf

Reference49 articles.

1. FLightNNs

2. Control Variate Approximation for DNN Accelerators

3. Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

4. On neural architecture search for resource-constrained hardware platforms;lu,2019

5. Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-Efficient Computing Acceleration of Unmanned Aerial Vehicles Based on a CPU/FPGA/NPU Heterogeneous System;IEEE Internet of Things Journal;2024-08-15

2. Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing;Machine Learning and Knowledge Extraction;2024-07-01

3. OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

4. The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference;2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR);2023-06-05

5. Dynamic Image Difficulty-Aware DNN Pruning;Micromachines;2023-04-23