Hierarchical Filter and Refine using Data Processing Unit
Research Grant
NSF Career Award, CAREER: Communication-efficient and topology-aware designs for geo-spatial analytics on heterogeneous platforms,
$511,000, 2022 - 2027. Link
Research Team Member: Dr. Anmol Paudel.
The new research will revisit spatial data analytics on heterogeneous systems
comprised of data processing units (DPU). DPU is a next generation of SmartNIC.
NIC is Network Interface Card.
These DPUs are a new class of programmable
processors made by NVidia (and other manufacturers). Similar to a modern smart network
interface card, DPUs can be used to filter unnecessary data from overwhelming the CPU
and memory bandwidth. DPUs can be used by CPUs to offload computations; thereby reducing
the load on CPU and increasing the capability of the compute node.
Two pictures of NVidia Bluefield-2 are shown below.
Traditional CPU-based Filter and Refine is shown below:
DPU-based Hierarchical Filter and Refine is shown below:
