Performance Instrumentation Mechanism for Precise Instruction Attribution

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Solution Overview

Problem

Current performance monitoring systems in computing systems face challenges in accurately identifying instructions causing performance-related events, such as cache misses, due to difficulties in implementing counters that are both accurate and efficient in terms of area and power usage, while also maintaining precision and minimizing implementation complexity.

Innovation Solution

A performance instrumentation mechanism that utilizes a counter initialized to a negative value, incremented for detected events, and triggers an indication when the counter wraps or approaches wrapping, ensuring that the instruction causing the event is accurately identified, and includes a performance monitor unit with event counting mechanisms for multithreaded systems to suppress speculative events and commit results only after capturing relevant information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If a counter is used to count performance events, then event detection capability is improved, but measurement precision deteriorates due to inability to accurately identify the instruction causing the event

Engineering Contradiction:
Improveevent detection capabilityVSAvoidinstruction identification accuracy
Core Design Contradiction:
Difficulty of detecting and measuringVSMeasurement precision

Solution Approach 1:

The patent segments the counter into multiple smaller counters, each responsible for counting events within a specific address range. This segmentation allows the system to identify which address range caused the event while maintaining accurate event counting, thus resolving the contradiction between event detection capability and instruction identification accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent adds a new dimension to the counter by incorporating address range information alongside the event count. Each counter now tracks both the number of events and the address range associated with those events, enabling simultaneous event detection and precise instruction identification without compromising either capability.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If multiple counters are used to cover different address ranges, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveaddress range identification accuracyVSAvoidcounter implementation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent designs each counter to serve multiple functions: it counts events within its address range, identifies the address range itself, and can be selectively enabled or disabled based on the event type being monitored. This multi-functionality reduces the need for separate dedicated components for each address range, thereby reducing overall device complexity while maintaining measurement precision.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent implements dynamic configuration of counters, allowing the system to enable or disable specific counters based on the current monitoring needs and event types. This dynamic approach optimizes resource usage and reduces complexity by activating only the necessary counters during different phases of performance monitoring, rather than maintaining all counters active simultaneously.

Inventive Principle:
Principle #15Dynamics

3Productivity

If a counter is initialized to a negative value and incremented, then productivity is improved through efficient event sampling, but reliability deteriorates due to potential counter wraparound issues

Engineering Contradiction:
Improveevent sampling efficiencyVSAvoidcounter accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms that continuously monitor counter values and detect wraparound conditions. When a counter wraps around, the system receives feedback about this event and can adjust its counting strategy, such as resetting the counter or switching to a different address range counter, thereby maintaining reliability while preserving the efficiency benefits of negative initialization and incrementing.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent prepares for potential wraparound issues by implementing preventive measures before they occur. This includes designing counters with sufficient bit width to handle expected event volumes, implementing early detection of approaching wraparound thresholds, and having pre-configured fallback strategies ready, thus cushioning against reliability issues while maintaining productivity.

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

Data Source

PatentUS7779238B2Method and apparatus for precisely identifying effective addresses associated with hardware events
Publication Date: 2010.08.17 ORACLE AMERICAN INC
  • US7779238B2 patent drawing
  • US7779238B2 patent drawing
  • US7779238B2 patent drawing

AI summary

A system and method for precisely identifying an instruction causing a performance-related event is disclosed. The instruction may be detected while in a pipeline stage of a microprocessor preceding a writeback stage and the microprocessor's architectural state may not be updated until after information identifying the instruction is captured. The instruction may be flushed from the pipeline, along with other instructions from the same thread. A hardware trap may be taken when the instruction is detected and/or when an event counter overflows or is within a given range of overflowing. A software trap handler may capture and/or log information identifying the instruction, such as one or more extended address elements, before returning control and initiating a retry of the instruction. The captured and/or logged information may be stored in an event space database usable by a data space profiler to identify performance bottlenecks in the application containing the instruction.