Ninth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale

Extreme Scale computing in HPC, AI, Deep Learning including Large Language Models, and Clouds are marked by multiple-levels of hierarchy and heterogeneity ranging from the compute units (many-core CPUs, multi-vendor GPUs, FPGAs, etc) to storage devices (NVMe, NVMe over Fabrics etc) to the bus and network interconnects (CXL, NVLink, Infinity Fabric, InfiniBand, High-Speed Ethernet, Omni-Path, Slingshot, etc). Owing to the plethora of heterogeneous communication paths with different cost models expected to be present in extreme scale systems, data movement is seen as the fundamental challenge for exascale computing. The goal of this workshop is to bring together researchers and software/hardware designers from academia, industry and national laboratories who are involved in creating network-based computing solutions for extreme scale architectures. The objectives of this workshop will be to share the experiences of the members of this community and to learn the opportunities and challenges in the design trends for exascale communication architectures. The scope of the workshop includes, but not limited to: scalable communication architectures and protocols, high performance networks, runtime/middleware designs, novel hardware/software co-design including AI-driven hardware, high performance communication solutions for accelerator based computing, power-aware techniques and designs, composable systems using chiplets, performance evaluations, quality-of-service, and virtualization.