Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present C oup , a technique to lor the cost of updates to shared data in cache-coherent systems. C oup  exploits the insight that many update operations, such as additions and bitwise logical operations, are  commutative : they produce the same final result regardless of the order they are performed in. C oup  allows multiple private caches to simultaneously hold  update-only  permission to the same cache line. Caches with update-only permission can locally buffer and coalesce updates to the line, but cannot satisfy read requests. Upon a read request, C oup   reduces  the partial updates buffered in private caches to produce the final value. C oup  integrates seamlessly into existing coherence protocols, requires inexpensive hardware, and does not affect the memory consistency model.    apply C oup  to speed up single-word updates to shared data. On a simulated 128-core, 8-socket system, C oup  accelerates state-of-the-art implementations of update-heavy algorithms by up to 2.4×.
['Guowei Zhang', 'Webb Horn', 'Daniel Sanchez']
I am writing a research paper on a idea Exploiting commutativity to reduce the cost of updates to shared data in cache-coherent systems
[{"from": "human", "value": "I am writing a research paper on a idea Exploiting commutativity to reduce the cost of updates to shared data in cache-coherent systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present C oup , a technique to lor the cost of updates to shared data in cache-coherent systems. C oup  exploits the insight that many update operations, such as additions and bitwise logical operations, are  commutative : they produce the same final result regardless of the order they are performed in. C oup  allows multiple private caches to simultaneously hold  update-only  permission to the same cache line. Caches with update-only permission can locally buffer and coalesce updates to the line, but cannot satisfy read requests. Upon a read request, C oup   reduces  the partial updates buffered in private caches to produce the final value. C oup  integrates seamlessly into existing coherence protocols, requires inexpensive hardware, and does not affect the memory consistency model.    apply C oup  to speed up single-word updates to shared data. On a simulated 128-core, 8-socket system, C oup  accelerates state-of-the-art implementations of update-heavy algorithms by up to 2.4\u00d7."}]