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authorAndrey Smirnov <[email protected]>2020-03-19 09:12:28 -0700
committerHerbert Xu <[email protected]>2020-03-30 11:50:49 +1100
commit2c5e88dc90f50022d1b4bf56c9b45d4162757094 (patch)
treea0388ee6ac85fa55785f4f72bc510cbf3f8cb17b /tools/perf/scripts/python/export-to-sqlite.py
parent1517f63cd84f00da3a3e21dff042410b2799c1c3 (diff)
crypto: caam - simplify RNG implementation
Rework CAAM RNG implementation as follows: - Make use of the fact that HWRNG supports partial reads and will handle such cases gracefully by removing recursion in caam_read() - Convert blocking caam_read() codepath to do a single blocking job read directly into requested buffer, bypassing any intermediary buffers - Convert async caam_read() codepath into a simple single reader/single writer FIFO use-case, thus simplifying concurrency handling and delegating buffer read/write position management to KFIFO subsystem. - Leverage the same low level RNG data extraction code for both async and blocking caam_read() scenarios, get rid of the shared job descriptor and make non-shared one as a simple as possible (just HEADER + ALGORITHM OPERATION + FIFO STORE) - Split private context from DMA related memory, so that the former could be allocated without GFP_DMA. NOTE: On its face value this commit decreased throughput numbers reported by dd if=/dev/hwrng of=/dev/null bs=1 count=100K [iflag=nonblock] by about 15%, however commits that enable prediction resistance and limit JR total size impact the performance so much and move the bottleneck such as to make this regression irrelevant. NOTE: On the bright side, this commit reduces RNG in kernel DMA buffer memory usage from 2 x RN_BUF_SIZE (~256K) to 32K. Signed-off-by: Andrey Smirnov <[email protected]> Reviewed-by: Horia Geantă <[email protected]> Cc: Chris Healy <[email protected]> Cc: Lucas Stach <[email protected]> Cc: Horia Geantă <[email protected]> Cc: Herbert Xu <[email protected]> Cc: Iuliana Prodan <[email protected]> Cc: [email protected] Cc: [email protected] Cc: [email protected] Signed-off-by: Herbert Xu <[email protected]>
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