Microsoft technology licensing, llc (20240126604). RESOURCE PROVISIONING simplified abstract
Contents
- 1 RESOURCE PROVISIONING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RESOURCE PROVISIONING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
RESOURCE PROVISIONING
Organization Name
microsoft technology licensing, llc
Inventor(s)
Rathijit Sen of Redmond WA (US)
Matteo Interlandi of Torrance CA (US)
Jiashen Cao of Roswell GA (US)
RESOURCE PROVISIONING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126604 titled 'RESOURCE PROVISIONING
Simplified Explanation
The abstract describes a system that predicts the performance impact on a workload due to constraints on a processing unit, based on a resource model. The system then determines a resource allocation for the processing unit to optimize performance.
- The system predicts performance impact on a workload based on constraints of the processing unit.
- It uses a resource model to characterize attainable compute and memory bandwidth, as well as arithmetic intensity.
- The resource allocation is determined based on the predicted performance impact.
- The processing unit is instructed to allocate resources for processing the workload according to the determined resource allocation.
Potential Applications
This technology could be applied in various fields such as data centers, cloud computing, and high-performance computing to optimize resource allocation and improve workload performance.
Problems Solved
1. Optimizing resource allocation for processing units. 2. Predicting performance impact on workloads due to constraints.
Benefits
1. Improved performance of workloads. 2. Efficient resource utilization. 3. Enhanced scalability of processing units.
Potential Commercial Applications
Optimizing resource allocation in cloud computing services for better performance and cost-efficiency.
Possible Prior Art
One possible prior art could be research papers or patents related to resource allocation optimization in computing systems.
Unanswered Questions
How does the system handle dynamic workloads?
The abstract does not mention how the system adapts to changes in workload demands over time.
What types of processing units are compatible with this system?
The abstract does not specify if the system is designed for specific types of processing units or if it is universally applicable.
Original Abstract Submitted
a system provisioning resources of a processing unit. the system predicts a performance impact on a workload attributable to a performance constraint of the processing unit for the workload according to a resource model, wherein the workload includes a query and the resource model characterizes attainable compute bandwidth, attainable memory bandwidth, and arithmetic intensity based on peak compute bandwidth and peak memory bandwidth of the processing unit. the system determines a resource allocation of the processing unit, based on the predicted performance impact and instructs the processing unit to allocate the resources for processing the workload based on the determined resource allocation.
