Remote Memory Synchronization for Low-Latency Multiprocessors
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Solution Overview
Problem
Existing techniques for remote memory operations in multiprocessor systems suffer from significant latency and inefficiency due to the use of low-performance interconnects and the need for explicit memory synchronization operations, which are costly and complex, especially when transferring small data segments.
Innovation Solution
The method involves merging a memory store operation with a synchronization operation to create a self-synchronizing memory store operation, which is transmitted as a single unit and split at a point of consistency near the destination, allowing the memory operation to execute before updating the synchronization object, thereby reducing network traffic and overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If explicit memory synchronization operations are performed across the interconnect, then memory consistency is ensured, but network latency and bandwidth overhead increase significantly
Solution Approach 1:
The patent extracts the synchronization operation from the network transmission path. Instead of sending synchronization operations across the interconnect, the system uses local store operations with release semantics at the source and corresponding acquire operations at the destination. This removes the need for explicit synchronization traffic over the network, eliminating the latency and bandwidth overhead while maintaining memory consistency through the memory model's inherent ordering guarantees.
2Reliability
If multiple separate operations (memory store, synchronization, acknowledgement) are transmitted across the interconnect, then comprehensive synchronization is achieved, but network bandwidth is consumed and latency increases
Solution Approach 1:
The patent merges the memory store operation and the synchronization operation into a single unified operation. The store operation with release semantics inherently performs the synchronization function, eliminating the need for separate synchronization messages and acknowledgements. This consolidation reduces network traffic to only the essential data transfer, freeing bandwidth and reducing energy consumption while maintaining complete synchronization through the combined operation's atomicity and ordering properties.
3Quantity of substance
If data is divided into multiple segments for transfer, then large data blocks can be transmitted, but the number of synchronization operations and overhead increase
Solution Approach 1:
The patent segments the data transfer into multiple store operations, each with release semantics. Each segment's store operation independently provides synchronization for that specific segment without requiring additional global synchronization operations. This approach maintains the ability to transfer large data blocks by dividing them into manageable segments while reducing synchronization overhead, as each segment's synchronization is handled locally and independently rather than requiring coordinated synchronization across all segments.
Data Source
AI summary
Various embodiments include techniques for performing self-synchronizing remote memory operations in a multiprocessor computing system. During a remote memory operation in the multiprocessor computing system, a source processing unit transmits multiple segments of data to a destination processing. For each segment of data, the source processing unit transmits a remote memory operation to the destination processing unit that includes associated metadata that identifies the memory location of a corresponding synchronization object. The remote memory operation along with the metadata is transmitted as a single unit to the destination processing unit. The destination processing unit splits the operation into the remote memory operation and the memory synchronization operation. As a result, the source processing unit avoids the need to perform a separate memory synchronization operation, thereby reducing inter-processor communications and increasing performance of remote memory operations.