Bytecode Concurrent Interval Execution for Processor Parallelism
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Solution Overview
Problem
Dynamically typed languages like Javascript and Python, which use interpreters to execute bytecodes, often fail to fully utilize out-of-order execution resources of processors due to sequential fetching of instructions, even when out-of-order execution is supported, leading to inefficient utilization of processor capabilities.
Innovation Solution
Implementing concurrent interval execution (cointerval) within a single thread, using additional hardware structures such as next instruction pointer storage, queue structures, and a cointerval register file, to enable simultaneous execution of independent subsets of instructions within a main code sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sequential fetching of bytecode handlers is used, then instruction correctness is maintained, but processor efficiency deteriorates due to underutilization of out-of-order execution resources
Solution Approach 1:
The patent segments the bytecode execution into multiple independent intervals that can be fetched and executed concurrently. Instead of treating the entire bytecode handler sequence as a single sequential unit, it divides them into separate fetchable intervals that can be processed in parallel by the out-of-order execution engine, thereby improving processor efficiency while maintaining correctness through proper interval management.
Solution Approach 2:
The patent introduces a new dimension of parallelism at the bytecode interval level, transitioning from traditional single-threaded sequential execution to multi-interval concurrent execution. This dimensional change allows multiple bytecode intervals to coexist in different execution stages simultaneously, fully utilizing the processor's out-of-order execution capabilities without compromising instruction correctness.
2Productivity
If concurrent interval execution is implemented, then instruction-level parallelism is enhanced, but device complexity increases due to additional hardware structures
Solution Approach 1:
The patent designs the concurrent interval execution hardware structures to serve multiple functions. The interval management mechanisms not only enable parallel execution but also handle interval scheduling, dependency tracking, and synchronization. This multi-functionality reduces the need for separate dedicated hardware components for each function, thereby limiting the increase in device complexity while achieving enhanced instruction-level parallelism.
3Quantity of substance
If bytecode handlers are executed sequentially, then hardware resource requirements are minimized, but execution time increases
Solution Approach 1:
The patent ensures continuous utilization of processor resources by maintaining multiple bytecode intervals in different execution stages simultaneously. Instead of having idle periods between sequential handler executions, the out-of-order execution engine keeps execution units busy by fetching and executing independent intervals in parallel, thereby reducing total execution time without significantly increasing hardware resource requirements through efficient resource sharing.
Data Source
AI summary
In one embodiment, an apparatus comprises: a first plurality of registers to store information of at least a main sequence; a second plurality of registers to store information of at least one concurrent interval, the at least one concurrent interval independent of the main sequence, where the second plurality of registers are accessible only by instructions of the at least one concurrent interval and the first plurality of registers are accessible by instructions of the main sequence and the at least one concurrent interval; and an execution circuit coupled to the first register file and the second register file, the execution circuit to execute the instructions of the main sequence and the at least one concurrent interval. Other embodiments are described and claimed.