1. Technology, Circuits, and Architecture

1.1. Technologies

Low-power technologies for device, interconnect, logic, memory, 2.5/3D, cooling, harvesting, sensors, optical, printable, biomedical, battery, and alternative energy storage devices and technology enablers for non-Boolean and quantum/quantum-inspired compute models.

1.2. Circuits

Low-power circuits for logic, memory, reliability, clocking, resiliency, near-/sub-threshold, and assist schemes; Low-power analog/mixed-signal circuits for wireless, RF, MEMS, AD/DA Converters, I/O, PLLs/DLLS, imaging and DC-DC converters; Energy-efficient circuits for emerging applications (e.g., biomedical, in-vitro sensing, autonomous), circuits using emerging technologies; Cryogenic circuits.

1.3. Logic and Architecture Low-power logic and microarchitecture for SoC designs, processor cores (compute, graphics, and other special purpose cores), cache, memory, arithmetic/signal processing, cryptography, variability, asynchronous design, and non-conventional computing.

2. EDA, Systems, and Software

2.1. CAD Tools and Methodologies

CAD tools and methodologies for low-power and thermalaware design addressing power estimation, optimization, reliability and variation impact on power, and power-down approaches at all levels of design abstraction: physical, circuit, gate, register transfer, behavior, and algorithm.

2.2. Systems and Platforms Low-power, power-aware, and thermal-aware system design including data-center power delivery and cooling, Platforms for SoCs, embedded systems, approximate and brain-inspired computing, Internet-of-Things (IoT), wearable computing, body-area networks, wireless sensor networks, and system-level power implications due to reliability and variability.

2.3. Software and Applications

Energy-efficient, energy-aware, and thermal-aware software and application design including scheduling and management, power optimizations through HW/SW interactions, and emerging software low-power applications.

3. Crosscutting Themes

3.1. AI/ML Hardware Low-power

AI/ML techniques including approximations, application driven optimizations, in-memory/energy-efficient accelerations, and neuromorphic computing; Efficient AI/ML using emerging technologies (including quantum computing).

3.2. Hardware and System

Security Low-power hardware security primitives (PUF, TRNG, cryptographic/post-quantum cryptographic accelerators), nanoelectronics security, supply chain security, IoT security and AI/ML security; Energy-efficient approaches to system security.

4. Industrial Design Track

SLPED’22 solicits papers for an “Industrial Design” track to reinforce interaction between the academic research community and industry. Industrial Design track papers have the same submission deadline as regular papers and should focus on similar topics, but are expected to provide a complementary perspective to academic research by focusing on challenges, solutions, and lessons learnt while implementing industrial-scale designs.