an interesting paper
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i was made aware of this paper. risc-v vectors are mentioned.
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 |
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