Register File Segments for Virtual Core Execution
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Solution Overview
Problem
Current processor architectures face inefficiencies in handling multiple tasks due to the need for context switching, which is costly in terms of area, power, and complexity, especially when dealing with a large number of threads, and struggle with fine-grain parallelism and efficient threading of non-threaded software codes.
Innovation Solution
The implementation of a system using register file segments and virtual cores instantiated by partitionable engines, which allows for efficient execution of instruction sequences through a global front-end scheduler that partitions instructions into code blocks and generates inheritance vectors, enabling cooperative execution across multiple virtual cores within a fragmented address space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If hardware duplicates all architecture state elements for each supported thread, then context switch is eliminated for hardware-supported threads, but area, power and complexity increase significantly
Solution Approach 1:
The register file is divided into multiple segments, where each segment can be independently accessed by different threads. This segmentation allows multiple threads to share the same physical register file structure while maintaining independent state, eliminating the need to duplicate entire register files for each thread.
Solution Approach 2:
A single register file structure serves multiple threads simultaneously through segmented organization. The same physical hardware resource (register file) is made universal by allowing different threads to access different segments or the same segments at different times, eliminating the need for thread-specific duplicate hardware.
2Loss of time
If hardware supports a limited number of threads with duplicated state elements, then context switch is reduced for those threads, but the solution does not help non-threaded software code and struggles with fine-grain parallelism
Solution Approach 1:
The system dynamically assigns threads to segment combinations based on runtime requirements. Threads can be created and destroyed on-the-fly, and the hardware adapts to support varying numbers of threads and different parallelism granularities without requiring static hardware duplication for each possible thread configuration.
Solution Approach 2:
The system changes the parameter of thread support from a fixed limited number to a dynamic configurable number. By using segmented register files with flexible assignment, the system can adapt to different threading scenarios including fine-grain parallelism and non-threaded code execution without hardware duplication overhead.
3Productivity
If the number of software threads exceeds the number of explicitly supported hardware threads, then context switch must still be performed, but hardware duplication increases area and power consumption
Solution Approach 1:
Multiple thread states are merged into a single shared register file structure through segmentation. Instead of having separate duplicate register files for each thread (which would increase power consumption), the system combines thread state management into one physical structure that serves multiple threads, reducing overall power usage while maintaining thread execution capability.
Solution Approach 2:
Instead of physically duplicating entire register files for each thread, the system creates logical copies through segmentation and mapping. Thread states are represented as views into segmented register file regions rather than complete physical duplicates, reducing area and power while enabling multiple thread executions.
Data Source
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AI summary
A system for executing instructions using a plurality of register file segments for a processor. The system includes a global front end scheduler for receiving an incoming instruction sequence, wherein the global front end scheduler partitions the incoming instruction sequence into a plurality of code blocks of instructions and generates a plurality of inheritance vectors describing interdependencies between instructions of the code blocks. The system further includes a plurality of virtual cores of the processor coupled to receive code blocks allocated by the global front end scheduler, wherein each virtual core comprises a respective subset of resources of a plurality of partitionable engines, wherein the code blocks are executed by using the partitionable engines in accordance with a virtual core mode and in accordance with the respective inheritance vectors. A plurality register file segments are coupled to the partitionable engines for providing data storage.