Special Sessions

1) Circuits for Energy Harvesting in IoT Applications

We are pleased to announce a special session on "Circuits for Energy Harvesting in IoT Applications", focusing on the latest advances in the design and implementation of low-power, low-voltage circuits for Internet of Things (IoT) devices, which are critical for extending device lifespan and enabling autonomous operation in diverse environments.

Topics of Interest

We invite original contributions, theoretical or applied, that include but are not limited to the following topics:

  • Low-Power Circuit Design: Techniques and methodologies for reducing power consumption in IoT devices, including sub-threshold and near-threshold circuit design.
  • Low-Voltage Operation: Challenges and innovations in designing circuits that operate at low voltages, including the impact on performance, reliability, and energy efficiency.
  • Energy Harvesting Technologies: New materials, devices, and systems for harvesting energy from ambient sources (e.g., solar, thermal, vibrational) to power IoT devices.
  • Batteryless Systems: Design and implementation of batteryless IoT systems, leveraging energy harvesting and efficient power management techniques to sustain operations without traditional batteries.
  • Power Management and Regulation: Efficient power management circuits, including DC-DC converters, voltage regulators, and energy storage solutions, optimized for low-power and low-voltage conditions.
  • Applications and Case Studies: Real-world implementations and case studies demonstrating the effectiveness of low-power, low-voltage, and batteryless circuits in energy harvesting IoT applications, such as wearable devices, environmental monitoring, and smart cities.
Download call for paper

2) Approximate and Transprecision Computing: the Quest of More with Less

We are excited to announce a special session on "Approximate and Transprecision Computing: the Quest of More with Less." This session will explore how Approximate and Transprecision Computing (A&TC) trade off accuracy and precision to achieve significant gains in efficiency—whether in area, time, or power. A&TC is particularly valuable for optimizing resource-constrained edge devices, enhancing energy efficiency and speed while maintaining acceptable performance. This session invites researchers in the Latin American region to share their work on applying A&TC techniques to error-resilient applications like AI, DSP, and multimedia.

Topics of Interest

We invite original contributions, theoretical or applied, that include but are not limited to the following topics:

  • Design automation of approximate architectures
  • Design of approximate reconfigurable architectures
  • Error resilient Near-Threshold Computing
  • Approximation and Transprecision for Deep Learning applications
  • Approximation techniques for emerging processor and memory technologies
  • Approximation-induced error modeling and propagation
  • Approximation and Transprecision in edge computing applications and reconfigurable computing
  • Approximation and Transprecision in HPC and embedded systems
  • Architectural support for approximation and transprecision
  • Cross-layer approximate 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
  • Hardware/software co-design of approximate and transprecision systems
  • Dependability of approximate circuits and systems
  • Software-based fault-tolerant technique for approximate computing
  • Test and fault tolerance of approximate and transprecision systems
Download call for paper


Special Session Important Dates
  • Special Session Proposals
    September 6, 2024
  • Paper Submission
    September 27, 2024
  • Notification of Acceptance
    October 25, 2024
  • Camera-Ready
    November 15,2024
Special Sessions Co-chairs

Mariana Siniscalchi msiniscalchi@fing.edu.uy

Alessandro Girardi alessandro.girardi@unipampa.edu.br