The 10th Workshop on Approximate Computing
June 23rd, 2025 – Naples, Italy
June 23rd, 2025 – Naples, Italy
The Approximate Computing (AxC) design paradigm emerged as a promising solution to effectively enhance performance of computing systems. It cleverly leverages the intrinsic error resilience of applications to inaccuracy in their inner calculations to achieve a required trade-off between efficiency, performance, power demand, and acceptable error of returned results. Indeed, approximate results are hardly distinguishable from exact results for a vast plethora of applications, including audio, image, and video processing, data mining, information retrieval, machine learning, artificial intelligence, and even safety-critical applications.
The AxC’25 workshop explores the opportunity to exploit the AxC in recent application domains in an effective, dependable, and secure manner. Moreover, new techniques are moving towards considering systems as a whole, spanning from hardware to software components, broadening the potential community of interested researchers.
This year’s event will be in conjunction with The 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2025). To learn more, please visit the DSN website
AxC’25 accepts extended abstract and short papers submissions:
Up to 4 pages plus references.
Follow the standard IEEE conference template through the Easy-chair submission site.
All papers must be original and not simultaneously submitted to another journal or conference.
Accepted papers will be published in the DSN supplemental volume and made available through the IEEE Xplore.
Approximation for Deep Learning
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 reconfigurable computing
Architectural support for approximation
Cross-layer approximate computing
Hardware/software co-design of approximate systems
Dependability of approximate circuits and systems
Design automation of approximate architectures
Design of approximate reconfigurable architectures
Error-resilient near-threshold computing
Methods for monitoring and controlling approximation quality
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 techniques for approximate computing
Test and fault tolerance of approximate systems.
It will be available soon! Stay tuned!
Submission Deadline
March 31st, 2025
April 7th, 2025 (Extended)
Notification Acceptance
April 30th, 2025
Workshop Date
June 23rd, 2025
Salvatore Barone
Pegaso Digital University, Italy
salvatore.barone@unina.it
Somayeh Sadeghi-Kohan
Paderborn University, Germany
sadeghis@upb.de
Jorge Castro-Godínez
Costa Rica Institute of Technology, Costa Rica
jocastro@itcr.ac.cr
Annachiara Ruospo
Politecnico di Torino, Italy
annachiara.ruospo@polito.it
Muhammad Awais
Paderborn University, Germany
mawais@mail.upb.de
Nicolo' Bellarmino
Politecnico di Torino, Italy
nicolo.bellarmino@polito.it
Luis G. León-Vega
University of Trieste, Costa Rica Institute of Technology, Costa Rica
luis.leon@ieee.org
Jie Han
University of Alberta (CA)
Sybille Hellebrand
University of Paderborn (DE)
Jörg Henkel
Karlsruhe Institute of Technology (DE)
Anand Raghunathan
Purdue University (USA)
Kaushik Roy
Purdue University (USA)
Hans-Joachim Wunderlich
University of Stuttgart (DE)
Adit Singh
Auburn University (USA)