Machine learning (ML) has become a prevalent approach to tame the complexity of design
space exploration for domain-specific architectures. While appealing, using ML for design …

Process technology-driven performance and energy efficiency improvements have slowed
down as we approach physical design limits. General-purpose manycore architectures …

As robots increasingly permeate modern society, it is crucial for the system and hardware
research community to bridge its long-standing gap with robotics. This divide has persisted …

In recent years, the rapid growth of big data and the increasing demand for high-
performance computing have fueled the development of novel computing architectures …

Heterogeneous architectures are vastly used in various high performance computing
systems from IoT‐based embedded architectures to edge and cloud systems. Although …

Rapid and efficient design space exploration is the key enabler for effective Domain Specific
Architectures (DSAs) development. In this paper, we present a DSA monitoring framework …

Authors' addresses: Anish Krishnakumar, anish. n. krishnakumar@ wisc. edu; Umit Y. Ogras,
uogras@ wisc. edu, University of Wisconsin-Madison, USA; Radu Marculescu, radum …

Computing systems have been evolving to be more pervasive, heterogeneous, and
dynamic. An increasing number of emerging domains now rely on diverse edge to cloud …

Multiprocessor system-on-chip (MPSoC) is increasingly used in today's complicated
embedded systems. This paper uses an efficient Hierarchical Interconnection Framework …

Emerging mobile systems such as robots or Augmented Reality glasses increasingly interact
with their physical surroundings. This means they require efficient computing platforms to …