GPU Firmware Hypervisor for Virtual SoC Partitioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current GPU utilization in datacenters is inefficient due to the assignment of full GPU instances to a single guest, leading to underutilization and high costs, especially in cloud environments where hardware resources are not fully amortized.
Innovation Solution
Implementing firmware-based hypervisor partitioning of GPUs into multiple virtual instances, allowing for fine-grained resource sharing across tenants and optimizing GPU usage through secure, isolated partitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a full GPU instance is assigned to one guest, then reliability is improved through dedicated resource allocation, but productivity deteriorates due to underutilization of GPU resources
Solution Approach 1:
The patent divides a physical GPU into multiple virtual GPU instances through firmware-based hypervisor partitioning. Each virtual GPU instance can be independently assigned to different guests, enabling fine-grained resource sharing while maintaining isolation. This segmentation allows the same GPU hardware to serve multiple tenants simultaneously, dramatically improving utilization efficiency without compromising the reliability of resource allocation for each guest.
2Productivity
If firmware-based hypervisor partitioning is implemented, then productivity is improved through fine-grained resource sharing, but device complexity increases due to additional virtualization layers
Solution Approach 1:
The patent introduces a firmware-based hypervisor as an intermediary layer between the physical GPU and guest operating systems. This hypervisor resides in firmware and provides virtualization functions without requiring complex software stacks in each guest. By placing the virtualization logic in firmware, the system achieves fine-grained resource sharing while keeping the complexity confined to a single manageable layer rather than distributing it across multiple software components.
Solution Approach 2:
The patent creates virtual copies of GPU resources through firmware partitioning. Instead of requiring complex dynamic allocation mechanisms, the firmware creates simplified virtual instances that mirror the physical GPU's functionality. Each virtual GPU instance is a manageable copy that can be independently configured and allocated, reducing the overall system complexity while enabling efficient resource sharing across multiple guests.
3Loss of energy
If multiple virtual GPU instances are created, then loss of energy is reduced through better hardware amortization, but manufacturing precision requirements increase for firmware partitioning
Solution Approach 1:
The patent implements a universal firmware-based hypervisor that can create and manage multiple virtual GPU instances with different configurations. This single firmware solution provides multi-functionality by supporting various partitioning schemes and allocation strategies within the same hardware platform. The firmware hypervisor acts as a universal controller that optimizes GPU resource distribution across diverse workloads and tenants, maximizing hardware amortization and reducing energy waste without requiring custom solutions for each scenario.
Data Source
AI summary
One embodiment provides a graphics processor comprising an interposer including a plurality of chiplet sockets, a plurality of chiplets coupled with the plurality of chiplet sockets, and circuitry configured to provide a firmware hypervisor to enable dynamic partitioning of processing resources of the plurality of chiplets into a plurality of partitions.