Today we are witnessing an increasing demand for high-performance computing infrastructures. Modern applications imply the need to process computationally intensive workloads. Differently from the past, where HPC infrastructures were used by just a handful of application domains, nowadays they are requested by a plethora of domains and applications. This is mainly due to the high availability of a large amount of data. Traditionally, HPC infrastructures were sharply distinct from Cloud infrastructures by the unique software and hardware requirements and by their on-premises nature.


However, in recent times such distinction is getting more and more blurry, driven by the proliferation of applications such as those pertaining to Big Data and AI/ML. Modern Cloud infrastructures are getting closer to HPC systems in terms of performance capabilities and hardware specifications. The aim of this workshop is to explore the intersection of high-performance computing and modern Cloud-Edge continuum architectures. The focus will be on how HPC can be achieved by relying on Cloud-Edge architectures. The workshop will investigate how technologies that are typically exploited in the context of Cloud and Edge environments, including serverless computing, microservices, and load balancers, must be adapted, tailored and managed to achieve efficient and scalable solutions able to support the execution of HPC applications. The key topics include lightweight virtualization, dynamic execution environments, and advanced scheduling technologies that are crucial to the deployment of high-performance workflows in Cloud environments, but not limited to them. In addition, the workshop will focus on orchestration and deployment techniques.


The workshop aims to attract submissions on innovative programming paradigms for high-performance Cloud-Edge computing, including network communication, data management, and strategies for fault tolerance, reliability, and security. The workshop seeks for insights on managing data-intensive workloads, heterogeneous resource management tools, and HPC applications monitoring in Cloud-Edge environments. Emphasis will be placed on sustainability, highlighting efficient and green practices.
In addition, contributions on the potential for FPGA/GPU acceleration architectures for data flow processing and joint resource sharing mechanisms in hybrid HPC environments are welcome. Similarly, we aim at exploring the latest innovations, challenges and applications in Cloud-Edge continuity and hybrid Cloud HPC, with a focus on accelerated environments such as FPGA and GPU architectures. Improvement and innovation opportunities like these call for new solutions and theoretical frameworks.

 

The 1st International Workshop on Accelerated HPC in the Cloud-Edge Continuum (AHPC3) aims at bringing together Cloud, Edge computing and HPC experts from academia and industry to identify new challenges, discuss novel systems, methods and approaches for in Hybrid and accelerated HPC Cloud-Edge infrastructures and architectures, as well as to promote this vision toward academia and industry stakeholders.

For more information about the topics of the Special Session and call for papers, please check the AHPC3 website.