Selective Hardware Acceleration for Application Code Segments
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Solution Overview
Problem
Computing performance is hindered by inefficient execution of application code on various hardware processors, necessitating a method to enhance performance without excessive hardware resource expenditure.
Innovation Solution
A process that allows selective hardware acceleration of application code portions by identifying and annotating specific code segments for acceleration, determining suitability based on configuration received via a network, and managing acceleration through chipset APIs to optimize CPU or GPU frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware acceleration is applied to application code, then computing performance is improved, but hardware resource consumption increases
Solution Approach 1:
The patent divides application code into distinct segments that can be individually identified and annotated for hardware acceleration. By segmenting the code base and applying acceleration selectively to specific portions rather than the entire application, the system achieves performance improvements for critical paths while conserving hardware resources during non-critical execution phases.
Solution Approach 2:
The patent implements local quality by applying different execution modes to different parts of the application code. Specifically, certain code segments are marked with annotations to receive hardware acceleration (such as GPU or specialized processor execution) while other segments continue to execute on standard CPU, creating a heterogeneous execution environment optimized for each code region's specific requirements.
2Productivity
If selective hardware acceleration is implemented, then performance optimization is achieved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary compilation layer that automatically processes source code, inserts acceleration annotations, and generates optimized machine code. This intermediary compiler acts as a mediator between the high-level application code and the heterogeneous hardware execution environments, handling the complexity of selective acceleration transparently without requiring changes to the application's source code or manual intervention.
Solution Approach 2:
The patent implements self-service by enabling the compilation system to automatically identify candidate code segments for hardware acceleration and insert appropriate annotations without external intervention. The system analyzes the application code, determines which portions would benefit from acceleration, and autonomously generates the annotated version ready for optimized compilation and execution.
Data Source
AI summary
An application level request associated with a portion of an application code requested to be executed with an adjusted hardware acceleration (wherein the portion of the application code is identified using a mechanism compatible with a plurality of different hardware processors) is received. It is determined whether to allow the adjusted hardware acceleration based at least in part on a configuration received via a network.