Serverless computing is one of the latest technologies that has received much attention from
researchers and companies in recent years since it provides dynamic scalability and a clear …

Serverless functions provide elastic scaling and a fine-grained billing model, making
Function-as-a-Service (FaaS) an attractive programming model. However, for distributed …

With the slowing of Moore's law and decline of Dennard scaling, computing systems
increasingly rely on specialized hardware accelerators in addition to general-purpose …

Compute nodes in modern HPC systems are growing in size and their hardware has
become ever more diverse. Still, many HPC centers allocate the resources of full nodes …

Serverless computing has emerged as a prominent paradigm, with a significant adoption
rate among cloud customers. While this model offers advantages such as abstraction from …

The widespread adoption of large language models (LLMs) has created a pressing need for
an efficient, secure and private serving infrastructure, which allows researchers to run open …

The convergence of edge computing, big data analytics, and AI with traditional scientific
calculations is increasingly being adopted in HPC workflows. Workflow management …

In the last decade, the Function-as-a-Service (FaaS) computing paradigm brought a
fundamental shift in resource management. This new cloud programming model is …

In this work we consider scheduling strategies to deal with disaggregated memory for HPC
systems. Disaggregated memory is an implementation of storage management that provides …

The slowing of advancements in memory technology and applications' increasing demand
for memory have resulted in computation becoming bottlenecked by availability of memory." …