an interesting paper
They mention RISC-V vectors in the intro, but on a quick scan, the
results are very ARM-specific, with no real implication for RISC-V vectors. They're pointing out a problem with ARM SVE where all elements are executed regardless of vector length due to SVE using predication to implement vector length. Krste | i was made aware of this paper. risc-v vectors are mentioned.On Mon, 14 Sep 2020 08:46:05 -0500, "swallach" <steven.wallach@...> said: | one of the key conclusions are (from the abstract) | Our experiments show that VLA code reaches about 90% of the performance of | vector length specific code, i.e. a 10% overhead is inferred due to global | predication of instructions. Furthermore, we show that code performance is not | increasing proportionally with increasing vector lengths due to the higher | memory demands. | my experience is just the opposite. (based on memory system design) | i am curious to hear other opinions | WARNING / LEGAL TEXT: This message is intended only for the use of the | individual or entity to which it is addressed and may contain information | which is privileged, confidential, proprietary, or exempt from disclosure | under applicable law. If you are not the intended recipient or the person | responsible for delivering the message to the intended recipient, you are | strictly prohibited from disclosing, distributing, copying, or in any way | using this message. If you have received this communication in error, please | notify the sender and destroy and delete any copies you may have received. | http://www.bsc.es/disclaimer | | x[DELETED ATTACHMENT PohlAPPMM19.pdf, PDF] |
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