Call for Papers
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.
Topics of interest
Topics of interest for the workshop include but are not limited to the following ones:
- Adaptation of Cloud-Edge technologies and methodologies for HPC (e.g., serverless, microservices, task offloading).
- Cloud-Edge computing architectures for HPC (e.g., resource federation).
- Lightweight virtualization tools, execution environments and scheduling techniques.
- Orchestration, deployment techniques and algorithms for High-performance workflows in Cloud-Edge environments.
- Programming paradigms for High Performance Cloud-Edge computing.
- Communication and Data management for Cloud-Edge computing.
- Fault tolerance, reliability and security in the Cloud-Edge continuum.
- Data-intensive workloads and tools.
- Methodologies and tools for heterogeneous resource management.
- Tools and techniques for monitoring HPC Cloud-Edge applications.
- Sustainability for HPC Cloud-Edge computing.
- Accelerated FPGA/GPU architectures for Cloud-Edge computing.
- Data stream processing with FPGA/GPU in Cloud-Edge computing.
- Federated resource sharing mechanisms for hybrid HPC.