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1 ecture 11: Large Cache Design IV Topics: prefetch, dead blocks, cache networks

Lecture 11: Large Cache Design IV

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Lecture 11: Large Cache Design IV. Topics: prefetch, dead blocks, cache networks. Temporal Memory Streaming Wenisch et al., ISCA’05. When a thread incurs a series of misses to blocks (PQRS, not necessarily contiguous), other threads are likely to incur a similar series of misses - PowerPoint PPT Presentation

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Page 1: Lecture 11: Large Cache Design IV

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Lecture 11: Large Cache Design IV

• Topics: prefetch, dead blocks, cache networks

Page 2: Lecture 11: Large Cache Design IV

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Temporal Memory Streaming Wenisch et al., ISCA’05

• When a thread incurs a series of misses to blocks (PQRS, not necessarily contiguous), other threads are likely to incur a similar series of misses

• Each thread maintains its miss log in a circular buffer in memory; the directory for P also keeps track of a pointer to multiple log entries of P

• When a thread has a miss on P, it contacts the directory and the directory provides the log pointers; the thread receives multiple streams and starts prefetching

• Log access and prefetches are off the critical path

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Spatial Memory Streaming Somogyi et al., ISCA’06

• Threads often enter a new region (page) and touch a few arbitrary blocks in that region

• A predictor is indexed with the PC of the first access to that region and the offset of the first access; the predictor returns a bit vector indicating the blocks accessed within that region

• Can even prefetch for regions that have not been touched before!

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Feedback Directed Prefetching Srinath et al., HPCA’07

• A stream prefetcher has two parameters: P: prefetch distance: how far ahead of the start do we prefetch N: prefetch degree: how much do we advance the start when there is a hit in the stream

• Can vary these two parameters based on pref effectiveness

• Accuracy: a bit tracks if a prefetched block was touched

• Timeliness: was the block touched while in the MSHR?

• Pollution: track recent evictions (Bloom filter) and see if they are re-touched; also guides insertion policy

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Dead Block Prediction

• Can keep track of the number of accesses to a line during its previous residence; the block is deemed to be dead after that many accesses Kharbutli, Solihin, IEEE TOC’08

• To reduce noise, an access can be considered as a block’s move to the MRU position Liu et al., MICRO 2008

• Earlier DBPs used a trace of PCs to capture when a block has completed its use

• DBP is used for energy savings, replacement policies, and cache bypassing

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Distill Cache Qureshi, HPCA 2007

• Half the ways are traditional (LOC); when a block is evicted from the LOC, only the touched words are stored in a word-organized cache that has many narrow ways

• Incurs a fair bit of complexity (more tags for the WOC, collection of word touches in L1s, blocks with holes, etc.)

• Does not need a predictor; actions are based on the block’s behavior during current residence

• Useless word identification is orthogonal to cache compression

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Traditional Networks Huh et al. ICS’05, Beckmann MICRO’04

Example designs for contiguous L2 cache regions

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Explorations for Optimality Muralimanohar et al., ISCA’07

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3D Designs, Li et al., ISCA’06

• D-NUCA: first search in cylinder, then multicast search everywhere• Data is migrated close to requester, but need not jump across layers

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Halo Network Jin et al., HPCA’07

• D-NUCA: Sets are distributed across columns; Ways are distributed across rows

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Halo Network

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Nahalal Guz et al., CAL’07

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Nahalal

• Block is initially placed in core’s private bank and then swapped into the shared bank if frequently accessed by other cores

• Parallel search across all banks

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