Runtime Virtualization of Reconfigurable Data Flow Resources
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Solution Overview
Problem
Cloud computing environments face challenges in efficiently virtualizing specialized hardware accelerators like reconfigurable processors due to multi-tenancy and dynamic workload requirements, leading to hardware underutilization and inefficiencies in resource allocation.
Innovation Solution
A system and method for runtime virtualization of coarse-grained reconfigurable array processors, utilizing a runtime processor to allocate and manage reconfigurable data flow resources, including arrays of configurable units and memory, with a unified interface and dynamic resource management to support multi-client and dynamic-workload scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If reconfigurable processors are dedicated to single user or application, then performance and resource allocation efficiency are improved, but hardware underutilization and inability to support multi-tenancy occur
Solution Approach 1:
The reconfigurable processor is divided into multiple virtual instances or slices that can be independently allocated to different users or applications. Each virtual instance maintains isolation while sharing the physical hardware resources, enabling multi-tenancy without sacrificing performance or utilization efficiency.
Solution Approach 2:
A virtualization layer or hypervisor is introduced between the physical reconfigurable processor and the users/applications. This intermediary manages resource allocation, isolation, and sharing, allowing multiple users to access the hardware efficiently while maintaining security and performance guarantees.
2Productivity
If reconfigurable processors are shared across multiple users, then hardware utilization is improved, but resource isolation and security between users deteriorate
Solution Approach 1:
The processor resources are segmented into isolated virtual environments for each user or application. Memory spaces, configuration registers, and execution contexts are partitioned to ensure that users cannot access or interfere with each other's resources, maintaining security and isolation while enabling shared hardware access.
Solution Approach 2:
The virtualization layer provides controlled access and isolation mechanisms between users and the physical hardware. It mediates resource sharing by ensuring that each user sees only their allocated resources while the system manages the shared physical underlying infrastructure.
3Adaptability or versatility
If reconfigurable processors are dynamically allocated, then adaptability to changing workloads is improved, but complexity of resource management increases
Solution Approach 1:
A virtualization layer or resource manager acts as an intermediary that handles the complexity of dynamic allocation, migration, and deallocation of processor resources. This layer abstracts the complexity from users and applications, providing simple interfaces for requesting and releasing resources while managing the underlying dynamic allocation mechanisms.
Solution Approach 2:
The system incorporates monitoring and feedback mechanisms that track resource usage patterns and workload characteristics. This feedback information is used to make intelligent decisions about resource allocation, migration, and consolidation, simplifying management through automated policies rather than manual control.
4Adaptability or versatility
If reconfigurable processors are virtualized, then multi-tenancy and resource sharing are improved, but performance overhead and latency increase
Solution Approach 1:
The virtualization is implemented at an appropriate granularity level that balances isolation needs with performance requirements. By segmenting resources into suitable units and using direct hardware access mechanisms for time-critical operations, the system minimizes virtualization overhead while maintaining multi-tenancy benefits.
Solution Approach 2:
The virtualization layer is designed to be as transparent and lightweight as possible for performance-critical paths. It uses efficient mechanisms such as direct memory mapping, interrupt redirection, and hardware-assisted virtualization to minimize the performance penalty of resource sharing while maintaining security and isolation.
Data Source
AI summary
A method is provided for controlling a system of reconfigurable data flow resources and a plurality of transfer resources using a runtime processor that is configured with logic. The method includes using the runtime processor to present a unified interface to the reconfigurable data flow resources and the plurality of transfer resources wherein the unified interface enables attachment of one of the configurable units to every other one of the configurable units. The method further includes using the runtime processor to control execution of a plurality of application graphs based on an execution file wherein the application graphs are representations of how the configurable units interact to exchange data to provide data flow with each other through the unified interface, the execution file including topologies for subarrays of configurable units with the topologies indicating how to load the configuration files.