Novel pervasive devices such as smart surveillance cameras and autonomous micro-UAVs
could greatly benefit from the availability of a computing device supporting embedded …

Embedded memory remains a major bottleneck in current integrated circuit design in terms
of silicon area, power dissipation, and performance; however, static random access …

An energy-efficient SoC with 32 b subthreshold RISC processor cores, 32 kB conventional
cache memory, and 9T ultra-low voltage (ULV) SRAM based on a flexible and extensible …

Hyperdimensional computing (HDC) is a brain-inspired computing paradigm-based on high-
dimensional holistic representations of vectors. It recently gained attention for embedded …

The total power budget of Ultra-Low Power (ULP) VLSI Systems-on-Chip (SoCs) is often
dominated by the leakage power of embedded memories as well as status registers. On the …

Near-threshold operation is garnering growing attention for ultra-low power applications
despite the fact the reliability of the near-threshold digital systems warrants unprecedented …

Logic compatible gain cell (GC)-embedded DRAM (eDRAM) arrays are considered an
alternative to SRAM due to their small size, nonratioed operation, low static leakage, and …

Multi-ported memories are widely used in many applications, such as for high-speed and
high-performance parallel computations. While conventional SRAM-based memory macros …

Many-core architectures structured as fabrics of tightly-coupled clusters have shown
promising results on embedded computer vision benchmarks, providing state-of-art …

Compressed sensing (CS) is a universal technique for the compression of sparse signals.
CS has been widely used in sensing platforms where portable, autonomous devices have to …