Racetrack memory (RTM) is a novel spintronic memory-storage technology that has the
potential to overcome fundamental constraints of existing memory and storage devices. It is …

Recent trends of increasing core-count and bandwidth/memory wall have motivated
researchers to explore novel memory technologies for designing processor components …

Racetrack memories (RMs) have significantly evolved since their conception in 2008,
making them a serious contender in the field of emerging memory technologies. Despite key …

In order to mitigate the problem of the 'memory wall', various emerging nonvolatile memory
(NVM) technologies have been proposed to replace the traditional ones. These emerging …

Ultra-dense non-volatile racetrack memories (RTMs) have been investigated at various
levels in the memory hierarchy for improved performance and reduced energy consumption …

Hyperdimensional computing (HDC) is an emerging computational framework inspired by
the brain that operates on vectors with thousands of dimensions to emulate cognition. Unlike …

We propose FusedCache, a two-level set-associative Racetrack memory (RM) cache design
that utilizes RM's high density for providing fast uniform access at one level, and non-uniform …

Deep neural networks generate and process large volumes of data, posing challenges for
low-resource embedded systems. In-memory computing has been demonstrated as an …

In-memory processing is becoming a popular method to alleviate the memory bottleneck of
the Von Neumann computing model. With the goal of improving both latency and energy …

Networks-on-chip (NoCs) have become a leading energy consumer in modern multi-core
processors, with a considerable portion of this energy originating from the large number of …