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 Zidong Du

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 duzidongatict.ac.cn

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Bibliometrics: publication history
Average citations per article15.11
Citation Count136
Publication count9
Publication years2014-2017
Available for download7
Average downloads per article1,511.71
Downloads (cumulative)10,582
Downloads (12 Months)3,692
Downloads (6 Weeks)372
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8 results found Export Results: bibtexendnoteacmrefcsv

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1
February 2017 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems: Volume 36 Issue 2, February 2017
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications. Still, both the energy efficiency and performance of such accelerators remain limited by memory accesses. In this paper, ...

2
June 2016 ISCA '16: Proceedings of the 43rd International Symposium on Computer Architecture
Publisher: IEEE Press
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 75,   Downloads (12 Months): 854,   Downloads (Overall): 1,106

Full text available: PDFPDF
Neural Networks (NN) are a family of models for a broad range of emerging machine learning and pattern recondition applications. NN techniques are conventionally executed on general-purpose processors (such as CPU and GPGPU), which are usually not energy-efficient since they invest excessive hardware resources to flexibly support various workloads. Consequently, ...
Also published in:
October 2016  ACM SIGARCH Computer Architecture News - ISCA'16: Volume 44 Issue 3, June 2016

3 published by ACM
December 2015 MICRO-48: Proceedings of the 48th International Symposium on Microarchitecture
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 10,   Downloads (12 Months): 193,   Downloads (Overall): 919

Full text available: PDFPDF
A vast array of devices, ranging from industrial robots to self-driven cars or smartphones, require increasingly sophisticated processing of real-world input data (image, voice, radio, ...). Interestingly, hardware neural network accelerators are emerging again as attractive candidate architectures for such tasks. The neural network algorithms considered come from two, largely ...
Keywords: neuromorphic, accelerator, comparison

4 published by ACM
June 2015 ISCA '15: Proceedings of the 42nd Annual International Symposium on Computer Architecture
Publisher: ACM
Bibliometrics:
Citation Count: 31
Downloads (6 Weeks): 62,   Downloads (12 Months): 595,   Downloads (Overall): 2,421

Full text available: PDFPDF
In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications. Still, both the energy efficiency and performance of such accelerators remain limited by memory accesses. In this paper, ...
Also published in:
January 2016  ACM SIGARCH Computer Architecture News - ISCA'15: Volume 43 Issue 3, June 2015

5 published by ACM
May 2015 ACM Transactions on Computer Systems (TOCS): Volume 33 Issue 2, June 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 32,   Downloads (12 Months): 328,   Downloads (Overall): 1,018

Full text available: PDFPDF
Machine-learning tasks are becoming pervasive in a broad range of domains, and in a broad range of systems (from embedded systems to data centers). At the same time, a small set of machine-learning algorithms (especially Convolutional and Deep Neural Networks, i.e., CNNs and DNNs) are proving to be state-of-the-art across ...
Keywords: Hardware accelerator, convolutional neural network, deep neural network, deep learning

6
March 2015 DATE '15: Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition
Publisher: EDA Consortium
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 27,   Downloads (Overall): 150

Full text available: PDFPDF
Recently, neural network (NN) accelerators are gaining popularity as part of future heterogeneous multi-core architectures due to their broad application scope and excellent energy efficiency. Additionally, since neural networks can be retrained, they are inherently resillient to errors and noises. Prior work has utilized the error tolerance feature to design ...
Keywords: machine learning, overclocking, error tolerance, neural networks, timing errors

7 published by ACM
June 2014 ACM Transactions on Architecture and Code Optimization (TACO): Volume 11 Issue 2, June 2014
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 22,   Downloads (Overall): 276

Full text available: PDFPDF
Because of tight power and energy constraints, industry is progressively shifting toward heterogeneous system-on-chip (SoC) architectures composed of a mix of general-purpose cores along with a number of accelerators. However, such SoC architectures can be very challenging to efficiently program for the vast majority of programmers, due to numerous programming ...
Keywords: library-based programming, heterogeneity, SoC, performance portability, approximate computing

8 published by ACM
February 2014 ASPLOS '14: Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
Publisher: ACM
Bibliometrics:
Citation Count: 95
Downloads (6 Weeks): 189,   Downloads (12 Months): 1,675,   Downloads (Overall): 4,694

Full text available: PDFPDF
Machine-Learning tasks are becoming pervasive in a broad range of domains, and in a broad range of systems (from embedded systems to data centers). At the same time, a small set of machine-learning algorithms (especially Convolutional and Deep Neural Networks, i.e., CNNs and DNNs) are proving to be state-of-the-art across ...
Keywords: accelerator, memory, neural networks
Also published in:
April 2014  ACM SIGPLAN Notices - ASPLOS '14: Volume 49 Issue 4, April 2014 April 2014  ACM SIGARCH Computer Architecture News - ASPLOS '14: Volume 42 Issue 1, March 2014



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