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US 11,960,936 B2Granted
Autonomous warehouse-scale computers
AssigneeGoogle Inc.
InventorsDavid Lo, Liqun Cheng, Parthasarathy Ranganathan, Sundar Jayakumar Dev
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AssigneeGoogle Inc.
InventorsDavid Lo, Liqun Cheng, Parthasarathy Ranganathan, Sundar Jayakumar Dev
Estimating the term…
The subject matter described herein provides systems and techniques to address the challenges of growing hardware and workload heterogeneity using a Warehouse-Scale Computer (WSC) design that improves the efficiency and utilization of WSCs. The WSC design may include an abstraction layer and an efficiency layer in the software stack of the WSC. The abstraction layer and the efficiency layer may be designed to improve job scheduling, simplify resource management, and drive hardware-software co-optimization using machine learning techniques and automation in order to customize the WSC for applications at scale. The abstraction layer may embrace platform/hardware and workload diversity through greater coordination between hardware and higher layers of the WSC software stack in the WSC design. The efficiency layer may employ machine learning techniques at scale to realize hardware/software co-optimizations as a part of the autonomous WSC design.
A method of scheduling a workload to be processed on one or more computer servers, the method comprising:
A system for scheduling a workload to be processed on one or more computer servers, the system comprising one or more processors configured to:
A non-transitory computer-readable medium storing instructions for scheduling a workload to be processed on one or more computer servers, that when executed by one or more processors, cause the one or more processors to:
Dependencies are inferred from the claim text.