Hardware Emulator Resource Segmentation for Accelerator Performance Evaluation
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Solution Overview
Problem
Existing hardware emulator systems consume substantial computational power and compete for resources, making it difficult to accurately emulate and evaluate the performance of hardware accelerators, which is crucial for optimizing data processing operations in big data, machine learning, and cloud computing.
Innovation Solution
The proposed emulation system separates computational resources for the hardware emulator and the emulated accelerator, allowing independent adjustment of computational power to accurately project and evaluate the performance of the emulated accelerator, thereby optimizing data processing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a general hardware emulation system is used to emulate a hardware accelerator, then the emulation can be provided, but the emulation consumes substantial computational power and the emulator competes for computational resources with other components, making it difficult to accurately evaluate the performance of the emulated accelerator
Solution Approach 1:
The system separates computational resources into distinct segments: first computational resources are allocated to run the hardware emulator and emulate the accelerator, while second computational resources are allocated to actually execute the offloading operations. This segmentation eliminates resource competition and allows independent optimization of each component, enabling accurate performance evaluation without the emulator consuming excessive computational power.
2Productivity
If computational resources are shared between the hardware emulator and other components, then resource utilization is improved, but the emulator competes for resources and cannot accurately emulate the performance of the accelerator
Solution Approach 1:
The system divides computational resources into separate segments dedicated to different functions. First computational resources are exclusively assigned to run the hardware emulator and emulate accelerator behavior, while second computational resources are assigned to execute actual offloading operations. This segmentation ensures that the emulator does not compete for resources, maintaining accurate performance emulation while still achieving high overall resource utilization through independent optimization of each segment.
3Measurement precision
If physical prototyping is used to evaluate hardware accelerator performance, then accurate performance data can be obtained, but substantial time and capital investment are required
Solution Approach 1:
The system creates a virtual copy of the hardware accelerator through hardware emulation. The hardware emulator runs on first computational resources and emulates the accelerator's behavior, allowing performance evaluation without building physical prototypes. This copying approach maintains measurement precision by accurately replicating accelerator functionality while eliminating the time and capital investment required for physical prototyping.
Solution Approach 2:
The system replaces the mechanical/physical prototyping process with a software-based hardware emulation system. Instead of building and testing physical hardware prototypes, the invention uses a hardware emulator that runs software simulations of the accelerator on first computational resources, substituting the physical construction and testing process with a virtual emulation process that is faster and less capital-intensive while maintaining evaluation accuracy.
Data Source
AI summary
Methods and systems for emulating a hardware accelerator is provided. When executed by a computer, the platform includes a plurality of computational resources provided by the computer; a hardware emulator operated on a first computational resource of the plurality of computational resources; and an accelerator being emulated in the platform and operated on a second computational resource of the plurality of computational resources, the accelerator being configured to execute an offloading operation.