Utilizing accelerators to accelerate data analytic workloads in disaggregated systems
US11275622B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2018 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Mar 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5011
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Server resources in a data center are disaggregated into shared server resource pools, including an accelerator (e.g., FPGA) pool. Servers are constructed dynamically, on-demand and based on workload requirements, by allocating from these resource pools. According to this disclosure, accelerator utilization in the data center is managed proactively by assigning accelerators to workloads in a fine granularity and agile way, and de-provisioning them when no longer needed. In this manner, the approach is especially advantageous to automatically provision accelerators for data analytic workloads. The approach thus provides for a “micro-service” enabling data analytic workloads to automatically and transparently use FPGA resources without providing (e.g., to the data center customer) the underlying provisioning details. Preferably, the approach dynamically determines the number and the type of FPGAs to use, and then during runtime auto-scales the FPGAs based on workload.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.