[hpc-announce] Call for Papers - 8th Workshop on Approximate Computing (AxC23)

[Roberta Bardini]

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CALL FOR PAPERS

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8th Workshop on Approximate Computing (AxC23) - In-presence


The Eighth Workshop on Approximate Computing, in conjunction with DSN 2023, will be an in-presence event in Porto, Portugal on June 27th, 2023!


Submit your Paper now! https://easychair.org/my/conference?conf=dsn2023


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SCOPE

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Approximate Computing leverages the intrinsic error resilience of applications to inaccuracy in their inner calculations to achieve a required trade-off between efficiency, performance, and power demand and acceptable error of returned results. In particular, for audio, image, and video processing, data mining, and information retrieval, approximate results are hard to distinguish from perfect results. In recent years, Approximate Computing applicability has been broadening, and it has been representing a breakthrough in many scientific areas. Suitable solutions come from approximate arithmetic operators, implemented both at the hardware and software level, but from unreliable memory architectures, integrated circuit tests, compilers, etc.


The aim of this workshop is the investigation of connections between the approximate computing paradigm and the verification, the test, and the reliability of digital circuits from two points of view:

1. how the approximate computing paradigm impacts integrated circuits' design and manufacturing flow.

2. How can the verification, testing, and reliability disciplines be exploited in the approximate computing paradigms.


The areas of interest include, but are not limited to, the following topics:


* Approximation for Deep Learning Applications

* Approximation techniques for emerging processor and memory technologies

* Approximation-induced error modeling and propagation

* Approximation in Edge computing applications

* Approximation in HPC and Embedded systems

* Approximation in Near-Memory and Database Processing

* Architectural support for Approximation

* Dependability of approximate circuits and systems

* Design automation of Approximate architectures

* Design of Approximate reconfigurable architectures

* Error Resilient Near-Threshold Computing

* Test and fault tolerance of approximate systems

* Hardware/software co-design of Approximate systems

* Language, compiler, and operating system support for approximate architectures

* Modeling, specification, and verification of approximate circuits and systems

* Safety and reliability applications of approximate computing

* Security in the context of Approximation

* Software-based fault-tolerant technique for approximate computing

* Techniques for monitoring and controlling approximation quality


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SUBMISSION

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The authors can submit an extended abstract (two pages, including references) OR a short paper (up to four pages, including references). Accepted manuscripts will be published in the DSN supplemental volume and made available in IEEE Xplore.


Papers should be submitted in a standard IEEE format (you can find a template at https://www.ieee.org/conferences_events/conferences/publishing/templates.html). Further submission guidelines can be found on the workshop webpage: https://www.iti.uni-stuttgart.de/en/chairs/ca/axc23/.


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KEY DATES

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Submission Deadline:  March 23rd, 2023

Notification of acceptance:  April 21st, 2023

Camera ready: May 5th, 2023


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ORGANIZING COMMITTEE

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Alexandra Kourfali - Stuttgart University (DE)

Alessandro Savino - Politecnico di Torino (IT)

Jorge Castro-Godínez - Costa Rica Institute of Technology (CR)


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CONTACTS

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General and submission information:


Alexandra Kourfali

Stuttgart University (DE)

Email: alexandra.kourfali at informatik.uni-stuttgart.de


Alessandro Savino

Politecnico di Torino (IT)

Email: alessandro.savino at polito.it


Jorge Castro-Godínez

Costa Rica Institute of Technology (CR)

Email: jocastro at itcr.ac.cr



Publicity information:


Roberta Bardini

Politecnico di Torino (IT)

Email: roberta.bardini at polito.it




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Best regards,


Roberta Bardini

AxC23 Publicity Chair



--

Bardini Roberta
Politecnico di Torino - Control and Computer Engineering Department
Post Doc

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