User-Level Fork Instructions for Parallel Processing Overhead
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Solution Overview
Problem
Existing parallel processing techniques in computer systems require significant overhead due to operating system intervention and are limited to coarse-grained workloads, making them inefficient for finer-grained parallel processing.
Innovation Solution
The introduction of user-level fork and synchronize/end instructions allows users to implement fork-join constructs without operating system involvement, enabling parallel execution on multiple processor elements and reducing overhead by allowing parallel executions to be invisible to the operating system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operating system intervention is used for parallel processing, then system control and coordination are ensured, but processing overhead increases and finer-grained workloads become inefficient
Solution Approach 1:
The patent extracts the fork-join construct implementation from the operating system and places it at the user level through hardware instructions. The user-level fork instruction enables threads to be created without OS intervention, and the hardware automatically handles thread coordination and synchronization, eliminating OS overhead while maintaining control for finer-grained workloads
Solution Approach 2:
The patent introduces hardware-level intermediaries (synchronization barriers and join instructions) that mediate between user-level threads. These hardware mechanisms automatically coordinate thread execution and ensure synchronization without requiring OS intervention, reducing overhead while maintaining system control
2Device complexity
If coarse-grained parallel processing is used, then system complexity is reduced, but workload flexibility and granularity control are limited
Solution Approach 1:
The patent segments the parallel processing control into discrete user-level components: user-level fork instructions for thread creation, user-level join instructions for synchronization, and hardware synchronization barriers. This segmentation enables flexible composition of parallel workloads at any granularity level while keeping individual components simple and manageable
Solution Approach 2:
The patent enables dynamic adjustment of parallel processing granularity through user-level control. Users can choose to create fine-grained parallel tasks using user-level fork instructions or coarse-grained tasks using hardware barriers, allowing the system to adapt to different workload characteristics without changing the underlying hardware architecture
Data Source
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AI summary
A processor of an aspect includes a plurality of processor elements, and a first processor element. The first processor element may perform a user-level fork instruction of a software thread. The first processor element may include a decoder to decode the user-level fork instruction. The user-level fork instruction is to indicate at least one instruction address. The first processor element may also include a user-level thread fork module. The user-level fork module, in response to the user-level fork instruction being decoded, may configure each of the plurality of processor elements to perform instructions in parallel. Other processors, methods, systems, and instructions are disclosed.