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Path: ...!eternal-september.org!feeder2.eternal-september.org!news.eternal-september.org!.POSTED!not-for-mail From: Lawrence D'Oliveiro <ldo@nz.invalid> Newsgroups: comp.arch,comp.lang.misc Subject: In-Memory Computing Date: Wed, 13 Nov 2024 06:30:34 -0000 (UTC) Organization: A noiseless patient Spider Lines: 10 Message-ID: <vh1h29$22vap$1@dont-email.me> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Injection-Date: Wed, 13 Nov 2024 07:30:34 +0100 (CET) Injection-Info: dont-email.me; posting-host="0a06367de58bbdcfdc9005596a5fcaaa"; logging-data="2194777"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX18CeQ0UUUONpLubW6zIlxa7" User-Agent: Pan/0.160 (Toresk; ) Cancel-Lock: sha1:itATWHkBCcEi76QHDMS54l/sMRY= Bytes: 1496 Has anyone heard of this idea? It apparently delegates some lower-level computing functions directly to the memory itself, to get a speedup from doing everything in the CPU. It seems to be an outgrowth of the “memristor” component that was discovered/invented by some researchers at HP a few decades ago. The researchers in this paper have come up with a Python library to make the technology easier to write programs for. <https://www.tomshardware.com/pc-components/cpus/researchers-develop-python-code-that-is-compatible-with-in-memory-computing-python-commands-converted-into-machine-code-to-be-executed-in-the-computers-memory>