Dynamic Binary Translation Optimization via Barrier Synchronization
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Solution Overview
Problem
Conventional dynamic program optimization systems face performance reduction in parallel processors due to the need to suspend multiple threads for instruction memory page modifications, leading to high overhead and reduced performance.
Innovation Solution
A method that synchronizes multiple threads at a barrier instruction, allowing for the gathering of profiling data and dynamic replacement of binary instructions with optimized versions without halting execution, minimizing clock cycles and thread suspension.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If read protection is applied to instruction memory pages to prevent thread execution during branch modification, then execution correctness is maintained, but thread suspension overhead increases significantly
Solution Approach 1:
The patent segments the parallel thread execution into multiple phases: an initial phase where threads execute original code, and subsequent phases where optimized code is executed. This segmentation allows the system to maintain execution correctness during optimization by controlling which threads access which code versions, thereby avoiding the need to suspend all threads simultaneously and reducing performance overhead.
Solution Approach 2:
The patent performs preliminary actions by pre-compiling optimized code versions and preparing them before they are needed. The optimized code is generated and staged in advance, allowing for smooth transitions without halting execution. This preliminary preparation eliminates the need to suspend threads during the actual code replacement process.
2Productivity
If dynamic program optimization is performed by replacing binary instructions during execution, then program performance is improved, but thread suspension is required causing performance reduction in parallel systems
Solution Approach 1:
The patent creates copies of the original binary instructions and applies optimizations to these copies. The optimized copies are then selectively executed by threads that have reached synchronization barriers, while original instructions remain for threads that haven't synchronized yet. This copying approach allows optimization without suspending the entire parallel execution.
Solution Approach 2:
The patent implements a dynamic code execution model where the set of active code versions changes over time based on thread synchronization state. Initially, only original code is executed; as threads synchronize, optimized code versions are activated. This dynamic transition allows the system to adapt code execution to the current execution state without requiring global thread suspension.
3Reliability
If all threads are synchronized at a barrier before optimization, then safe code replacement is enabled, but execution time increases due to waiting
Solution Approach 1:
The patent applies partial synchronization rather than requiring all threads to synchronize completely before optimization begins. Specifically, only threads that reach the barrier instruction need to synchronize; other threads continue executing the original code without waiting. This partial action approach enables safe code replacement for synchronized threads while minimizing the impact on overall execution time.
Solution Approach 2:
The patent applies different execution behaviors to different threads based on their synchronization state. Threads that have reached the barrier are directed to execute optimized code, while threads that haven't synchronized yet continue with original code. This local differentiation allows the system to optimize performance for synchronized threads without forcing all threads to wait, thereby reducing overall synchronization overhead.
Data Source
AI summary
A system, method, and computer program product are provided for. The method includes the steps of executing a block of translated binary instructions by multiple threads and gathering profiling data during execution of the block of translated binary instructions. The multiple threads are then synchronized at a barrier instruction associated with the block of translated binary instructions and the block of translated binary instructions is replaced with optimized binary instructions, where the optimized binary instructions are produced based on the profiling data.