Super-thread Processor Multi-Context Register File
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Solution Overview
Problem
Existing approaches to multi-thread processing in computer hardware require significant overhead in hardware requirements, leading to energy management and heat problems.
Innovation Solution
A processor system with multiple hardware contexts that executes instructions from multiple threads through an instruction fetch mechanism, which fetches entire cache blocks and stores them in temporary storage locations associated with each thread, allowing for efficient execution and reduced hardware overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional multi-thread processing approaches are used, then multiple threads can be executed concurrently, but hardware overhead increases significantly leading to energy management and heat problems
Solution Approach 1:
The patent merges multiple thread contexts into a single shared register file structure. Instead of providing separate register files for each thread, the invention uses a unified register file with context-specific entry selection, reducing hardware duplication and energy consumption while maintaining multi-thread execution capability.
Solution Approach 2:
The register file is designed to serve multiple threads universally through context identifiers. The same physical register file structure is used across different thread contexts, with entries being dynamically assigned to different threads based on context identification, eliminating the need for dedicated hardware per thread.
2Productivity
If traditional multi-thread processing approaches are used, then multiple threads can be executed concurrently, but hardware overhead increases significantly leading to heat problems
Solution Approach 1:
The patent merges multiple thread contexts into a single shared register file structure. Instead of providing separate register files for each thread, the invention uses a unified register file with context-specific entry selection, reducing hardware duplication and energy consumption while maintaining multi-thread execution capability.
Solution Approach 2:
The invention uses context identifiers to logically copy register file entries across different thread contexts without physically duplicating the hardware. The same physical register file can serve multiple threads by selecting appropriate entries based on context identification, reducing heat generation from hardware duplication.
3Loss of time
If separate register files are provided for each thread context, then thread switching is efficient, but hardware complexity and resource usage increase
Solution Approach 1:
The patent merges multiple thread contexts into a single shared register file structure. Instead of providing separate register files for each thread, the invention uses a unified register file with context-specific entry selection, reducing hardware duplication and energy consumption while maintaining multi-thread execution capability.
Solution Approach 2:
The invention introduces context identifiers as an intermediary mechanism to manage multiple thread contexts within a single register file. These identifiers enable the system to distinguish between different thread contexts and select appropriate register entries without requiring separate physical register files for each thread.
Data Source
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Figure 3A~3B
AI summary
The disclosed inventions include a processor apparatus and method that enable a general purpose processor to achieve twice the operating frequency of typical processor implementations with a modest increase in area and a modest increase in energy per operation. The invention relies upon exploiting multiple independent streams of execution. Low area and low energy memory arrays used for register files operate a modest frequency. Instructions can be issued at a rate higher than this frequency by including logic that guarantees the spacing between instructions from the same thread are spaced wider than the time to access the register file. The result of the invention is the ability to overlap long latency structures, which allows using lower energy structures, thereby reducing energy per operation.