· Contributors · Organizations · Search
PYNQ for HPC
SessionEighth International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC 2022)
DescriptionPYNQ is an open-source project from AMD that aims to help HPC applications achieve performance goals quicker by lowering software complexity. PYNQ with its runtime Python APIs has its roots in Zynq SoCs (ARM processors plus programmable logic) and has expanded across both datacenter and RFSoC adaptive computing platforms. With that expansion, the PYNQ community now numbers in 1000s of active users across 10s of thousands shipped platforms. In this short talk, PYNQ will be revisited in the context of cloud and quantum computing as both areas where adaptive computing is appearing in larger HPC frameworks. PYNQ has provided a scalable API for cloud deployments for some time and more recently has been deployed within new quantum computing control systems. Lastly, our newest project, PYNQ-Metadata, will be introduced as this work gives users new levels of hardware introspection into existing (and new) hardware designs, all from within Jupyter notebooks.
Next PresentationNext PresentationMLIR Compilers for Heterogeneous Computing