Aim

Heterogeneity has emerged as one of the most profound and challenging characteristics of today's computing paradigms. The impact of heterogeneity on all computing tasks is increasing rapidly. Traditional algorithms, programming environments and tools designed for legacy homogeneous computing platforms could not support the growing diversity in infrastructure and the increasing volume of data. This growth creates the need and opportunity for new research to effectively utilize these heterogeneous resources in innovative and novel ways in different computing Paradigms such as cluster computing, grid computing, peer-to-peer computing, cloud computing, edge computing, and fog computing. Recognizing, capturing, and efficiently exploiting the availability of diverse computing resources in an integrated and coherent manner are the key goals of this workshop.

Scope

Topics to be covered include but are not limited to:

• Performance models and their integration into the design of efficient parallel algorithms for heterogeneous computing platforms
• Resource management and scheduling for heterogeneous systems, including many cores and hardware accelerators (e.g. FPGAs, GPUs, AI accelerators)
• Parallel algorithms for efficient problem-solving on heterogeneous computing platforms
• Applications and software engineering for heterogeneous computing platforms
• Design, exploration, and experimental analysis of heterogeneous computing systems such as GPGPUs, Systems-on-Chip (SoC), accelerator systems
• Theoretical models and tools for energy and/or multi-objective optimization on heterogeneous computing platforms
• Programming paradigms and tools for heterogeneous systems, including middleware and runtime systems;
• Domain-specific architectures: Design, programming, and exploration of heterogeneous computing architectures that provide a significant performance improvement for a specific application domain, such as AI, image processing, weather forecasting and Bioinformatics etc...
• Performance modelling and benchmarking on heterogeneous computing platforms, characterizations and optimizations
• Power/energy management and failure management (e.g., fault tolerance, recovery, reliability) on heterogeneous computing platforms
• Systems software to support various operations in large-scale heterogeneous computing platforms (e.g., storage, retrieval, automated workflows, data organization, visualization)
• Applications on heterogeneous systems: Confluence of Big Data systems and heterogeneous systems; data-intensive computing; and scientific computing

Authors are encouraged to submit original, unpublished research or overviews on Algorithms, Theoretical Models, Programming languages and Tools aimed at efficiently solving problems on various heterogeneous computing platforms.

Publications

HeteroComp24 proceedings will be published in ACM ICPS along with ICDCN main conference proceedings and will be available through ACM Digital Library.