Learn six best practices for improving the efficiency, scalability, and reliability of your parallel and distributed computing applications.

Learn how to develop your skills, knowledge, and mindset in parallel and distributed computing, a field that offers many opportunities and challenges for computer engineers.

Distributed applications operating in pervasive computing environment should have abilities to cope with the high heterogeneity and variability of this environment. In a high abstract level, the ...

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

Compared to traditional digital computers, the human nervous system is a parallel, interconnected and massively distributed system, with superior performance and functionality in adaptive learning and ...

Vishesh: I aspire to lead initiatives that push the boundaries of cloud infrastructure and distributed computing. My goal is to develop systems that are scalable, efficient, and adaptable to ...

YugabyteDB retains all the power and familiarity of PostgreSQL by pairing its trusted API with an enterprise-grade distributed architecture.

However, software architecture supporting component migration has not been deeply studied. In this paper, an adaptable software architecture for pervasive computing is introduced. We revisit software ...