Publication

Near-Optimal Cache Block Placement with Reactive Nonuniform Cache Architectures

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman
2010
Journal Articles

Abstract

The growing core counts and caches of modern processors result in data access latency becoming a function of the data's physical location in the cache. Thus, the placement of cache blocks determines the cache's performance. Reactive nonuniform cache architectures (R-NUCA) achieve near-optimal cache block placement by classifying blocks online and placing data close to the cores that use them.

Official source

https://infoscience.epfl.ch/entities/publication/aac101f6-f29b-467b-8549-cb492f2e5590

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Anastasia Ailamaki, Babak Falsafi, Michael Ferdman
2010
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/aac101f6-f29b-467b-8549-cb492f2e5590

About this result

Related concepts (10)

Cache replacement policies

In computing, cache replacement policies (also frequently called cache replacement algorithms or cache algorithms) are optimizing instructions, or algorithms, that a computer program or a hardware-maintained structure can utilize in order to manage a cache of information stored on the computer. Caching improves performance by keeping recent or often-used data items in memory locations that are faster or computationally cheaper to access than normal memory stores.

CPU cache

A CPU cache is a hardware cache used by the central processing unit (CPU) of a computer to reduce the average cost (time or energy) to access data from the main memory. A cache is a smaller, faster memory, located closer to a processor core, which stores copies of the data from frequently used main memory locations. Most CPUs have a hierarchy of multiple cache levels (L1, L2, often L3, and rarely even L4), with different instruction-specific and data-specific caches at level 1.

Multi-core processor

A multi-core processor is a microprocessor on a single integrated circuit with two or more separate processing units, called cores, each of which reads and executes program instructions. The instructions are ordinary CPU instructions (such as add, move data, and branch) but the single processor can run instructions on separate cores at the same time, increasing overall speed for programs that support multithreading or other parallel computing techniques.

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