Dynamic Instruction Cracking Based on Machine State
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Solution Overview
Problem
Conventional methods for increasing Instruction Per Cycle (IPC) by cracking instructions into simpler units are static and not optimized for efficient use of hardware resources, leading to performance and issue queue bandwidth issues.
Innovation Solution
A method and system for managing instruction execution based on machine state, where instructions are decoded, and the current machine state is determined to organize them into a set of unit operations, which are then executed, optimizing the issue queue and reducing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If instructions are cracked into simpler units using conventional static methods, then Instruction Per Cycle (IPC) is increased, but hardware resource efficiency deteriorates and issue queue bandwidth is reduced
Solution Approach 1:
The patent implements dynamic instruction cracking that adapts to current machine state and issue queue conditions. The cracking process is no longer static but dynamically adjusts based on real-time hardware resource availability, issue queue status, and machine state, thereby maintaining high IPC while optimizing hardware resource efficiency
Solution Approach 2:
The patent changes the parameters used for instruction cracking from fixed opcode-based rules to dynamic parameters including current machine state, issue queue bandwidth availability, and resource utilization metrics. This parameter transformation enables adaptive cracking that resolves the contradiction between IPC improvement and hardware efficiency
2Device complexity
If instructions are cracked statically based on opcodes, then instruction processing is simplified, but issue queue performance and bandwidth deteriorate
Solution Approach 1:
The system transitions from static opcode-based cracking to dynamic state-aware cracking. The cracking process now considers current machine state and issue queue conditions, making the complexity adaptive rather than fixed, thereby improving issue queue bandwidth while maintaining manageable processing complexity
Solution Approach 2:
The patent introduces feedback mechanisms where the current machine state and issue queue status are continuously monitored and fed back into the cracking process. This feedback loop enables the system to adjust cracking strategies in real-time, optimizing issue queue utilization without excessively increasing processing complexity
Data Source
AI summary
A method, information processing system, and computer program product manage instruction execution based on machine state. At least one instruction is received. The at least one instruction is decoded. A current machine state is determined in response to the decoding. The at least one instruction is organized into a set of unit of operations based on the current machine state that has been determined. The set of unit of operations is executed.