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

Organizers:

• Dhabaleswar Panda (Ohio State University)
• Aamir Shafi (The Ohio State University)
• Hari Subramoni (The Ohio State University)

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Abstract:

Extreme-Scale Computing in HPC, Big Data, Deep Learning, and Clouds are marked by multiple-levels of hierarchy and heterogeneity ranging from the compute units (many-core CPUs, GPUs, APUs, etc) to storage devices (NVMe, NVMe over Fabrics etc) to the network interconnects (InfiniBand, High-Speed Ethernet, 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 soul of different challenges for exascale computing. On the other hand, advances in networking technologies such as NoCs (like NVLink and Stormlake), emergence of new I/O interface architecture standards (CCIX, Gen-Z, CAPI etc), and RDMA enabled networks and the likes are constantly pushing the envelope of research in the field of novel communication and computing architectures for extreme-scale 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 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, high performance communication solutions for accelerator-based computing, power-aware techniques and designs, performance evaluations, QoS, and virtualization.

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