Sci. et al. News
Important dates:
- Abstract submission: November 11, 2024 (extended)
- Paper submission: November 20, 2024 (extended)
- Authors notification: December 16, 2024
- Camera ready: January 27, 2025
- Workshop day: TBA.
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:
- 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.
More informations: http://ahpc3.di.unipi.it/
