Conditional Instruction Offloading Based on Cache Data Location
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Solution Overview
Problem
Commercially important applications like Large Language Model (LLM) inferencing and similarity search are memory bandwidth dominated with low arithmetic intensity, and offloading operations to a Memory Processing Unit (MPU) may not always improve performance due to data location and caching issues.
Innovation Solution
A system that identifies the presence of workload data in the cache hierarchy to conditionally offload functions to an MPU or CPU based on data location, optimizing execution to occur near memory for improved performance and reduced energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If offloading operations to MPU is performed unconditionally, then memory bandwidth utilization is improved, but performance may deteriorate when data is already present in CPU cache
Solution Approach 1:
The system dynamically adjusts offloading decisions based on real-time cache state. The conditional offload mechanism transitions from static unconditional offloading to dynamic decision-making by checking cache presence before offloading, allowing the system to adapt execution strategy to current data location conditions
Solution Approach 2:
The system implements feedback by checking cache presence status before making offloading decisions. This feedback loop prevents unnecessary offloads when data is already in CPU cache, avoiding performance degradation while maintaining high memory bandwidth utilization when data resides in system memory
2Power
If data is transferred to MPU for processing, then compute capability is improved, but energy consumption increases due to data movement
Solution Approach 1:
The system performs preliminary checking of cache presence before initiating data transfer to MPU. This preliminary action prevents unnecessary data movement and associated energy consumption while ensuring that compute-intensive operations are offloaded only when beneficial, thus maintaining compute capability without wasteful energy expenditure
3Device complexity
If offloading is performed without cache awareness, then system simplicity is maintained, but performance optimization is lost
Solution Approach 1:
The conditional offload mechanism serves multiple functions: it checks cache presence, makes intelligent offloading decisions, and optimizes execution location. This multi-functional approach achieves performance optimization without proportionally increasing system complexity, as the same infrastructure supports both cache management and offload decision-making
Data Source
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AI summary
In one example, a processor includes: at least one core to execute instructions; and at least one cache memory coupled to the at least one core, the at least one cache memory to store data, at least some of the data a copy of data stored in a memory. The at least one core is to determine whether to conditionally offload a sequence of instructions for execution on a compute circuit associated with the memory, based at least in part on whether one or more first data is present in the at least one cache memory, the one or more first data for use during execution of the sequence of instructions. Other embodiments are described and claimed.