Block-Based Processor Instruction Reuse for Energy Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current processor architectures, such as superscalar out-of-order microarchitectures, face inefficiencies in energy consumption and complexity due to resource-intensive features like register renaming, dataflow analysis, and misspeculation recovery, which hinder sustained performance improvements.
Innovation Solution
The implementation of a block-based processor with an Explicit Data Graph Execution (EDGE) ISA that reuses decoded instructions, eliminating the need for complex architectural features like register renaming and misspeculation recovery, and executes instructions in atomic blocks to reduce power consumption and enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If superscalar out-of-order microarchitectures are used to improve processor performance, then execution speed is improved, but device complexity and energy consumption increase due to resource-intensive features like register renaming, dataflow analysis, and misspeculation recovery
Solution Approach 1:
The processor architecture segments instructions into fixed-size blocks that are executed as atomic units. This segmentation eliminates the need for complex out-of-order execution mechanisms by organizing code into discrete, manageable blocks that can be systematically managed through mapping and reuse techniques, thereby reducing architectural complexity while maintaining performance.
Solution Approach 2:
The system performs preliminary decoding of instruction blocks and stores them in a mapping structure before execution. This preliminary action allows the processor to reuse decoded blocks across inner-loop iterations without re-decoding, eliminating the need for complex real-time decoding mechanisms and reducing overall architectural complexity.
2Productivity
If superscalar out-of-order microarchitectures are used to improve processor performance, then execution speed is improved, but energy consumption increases due to resource-intensive features
Solution Approach 1:
Instruction blocks are decoded in advance and stored in a mapping structure before execution. This preliminary decoding eliminates the need for repeated real-time decoding of the same blocks during inner-loop iterations, significantly reducing energy consumption while maintaining high execution performance through block reuse.
Solution Approach 2:
The system creates and maintains copies of decoded instruction blocks in a mapping structure that can be rapidly accessed and reused. This copying approach eliminates repeated decoding operations and complex runtime analysis, reducing energy consumption while preserving performance through efficient block reuse across iterations.
3Use of energy by moving object
If fixed-size instruction blocks are used to enable mapping reuse and reduce power consumption, then energy efficiency is improved, but instruction encoding flexibility may be limited
Solution Approach 1:
The fixed-size block structure serves multiple functions: it enables systematic mapping and reuse for energy efficiency, provides a uniform format for simplified decoding, and maintains sufficient encoding capacity through optimized instruction formats. This universal block structure resolves the contradiction by achieving energy efficiency without significantly compromising encoding flexibility.
Solution Approach 2:
The system changes the parameter of instruction block size from variable to fixed, which enables efficient mapping and reuse patterns that reduce power consumption. The fixed size parameter is optimized to balance energy efficiency with encoding flexibility, allowing the architecture to achieve low power consumption while maintaining adequate adaptability for various instruction types.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods are disclosed for reusing fetched and decoded instructions in block-based processor architectures. In one example of the disclosed technology, a system includes a plurality of block-based processor cores and an instruction scheduler. A respective core is capable of executing one or more instruction blocks of a program. The instruction scheduler can be configured to identify a given instruction block of the program that is resident on a first processor core of the processor cores and is to be executed again. The instruction scheduler can be configured to adjust a mapping of instruction blocks in flight so that the given instruction block is re-executed on the first processor core without re-fetching the given instruction block.