Recent developments in Non-Volatile Memories (NVMs) have opened up a new horizon for
in-memory computing. Despite the significant performance gain offered by computational …

With the end of Dennard scaling and Moore's law, it is becoming increasingly difficult to build
hardware for emerging applications that meet power and performance targets, while …

Many-core systems are envisioned to leverage the ever-increasing demand for more
powerful computing systems. To provide the necessary computing power, the number of …

As the number of cores in a multicore chip increases, the kilo-core processor will be a trend
in Network-on-Chip development. For such case, the network topology needs to scale …

Abstract Machine learning has been widely used in many applications, ranging from
healthcare diagnostics and image classification to natural language processing and content …

Many-core systems, which consist of numerous processing elements (PEs), provide high
execution parallelism. To connect these PEs, network-on-chip (NoC) is proposed as an …

The past decade has seen the breakdown of two important trends in the computing industry:
Moore's law, an observation that the number of transistors in a chip roughly doubles every …

Recent years have witnessed a tremendous surge of interest in accelerating sparse linear
algebra applications. Sparse linear algebra is a fundamental building block and usually the …

Newly available memory-centric architectures to accelerate finite automata-based pattern
recognition have motivated the use of automata processing in new applications, such as …

Modern computing systems are becoming increasingly complex. On one end of the
spectrum, personal computers now commonly support multiple processing cores, and, on …