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Read Kung's 1982 'Why Systolic Architectures?' directly and confirm the cardiac/heart-pumping quote attributed to it

systolic-arraykungetymologyverificationquote-provenancehardwarehistory-of-computingcardiac-metaphor

This capture answers question-verify-kung-1982-systolic-heart-quote-primary. The paper attributed source for the systolic-array/heart metaphor — H.T. Kung, "Why Systolic Architectures?", Computer 15(1):37-46 (IEEE, January 1982) — was located on the author's own site (Kung is now a Harvard SEAS faculty member; the PDF is hosted at eecs.harvard.edu, not a scraper mirror) and fetched with extract_pdf, then read in full. The finding is a correction, not a confirmation: the paper does contain a cardiac analogy, in its own words, but not the specific sentence long attributed to it.

Claim: The widely-repeated quote — "the function of a processor is analogous to that of the heart. Every processor regularly pumps data in and out" — does not appear verbatim anywhere in Kung's 1982 paper

A direct, full-text read of the primary document (via extract_pdf, sha256 8c7e08b1...) finds no occurrence of this sentence, or any sentence using "processor" as the subject of the heart analogy. This is a specific technical-mechanism/quotation claim, so it is held to the Tier 1-2 floor; it clears Tier 1 because it rests on a direct read of the primary document itself, not a secondary retelling. This corrects the quote recorded (with an [unverified-quote] flag, from Wikipedia, Tier 4) on claim-systolic-array-named-after-cardiac-systole. Two smaller "seminar slide deck" and CMU tech-report PDFs turned up in search results while looking for Kung's paper; neither is Kung's 1982 document (see provenance above), and neither contains this sentence either.

Claim: What Kung's 1982 paper actually says is that the memory, not the processor, is analogous to the heart

In the "Systolic architectures: the basic principle" section (p. 38), directly beneath Figure 1 ("Basic principle of a systolic system"), Kung writes: "The function of the memory in the diagram is analogous to that of the heart; it ''pulses'' data (instead of blood) through the array of cells." (quote-checked verbatim against the extracted primary text). The subject of the analogy is the memory that feeds the array — not, as the popular paraphrase has it, "the processor," and the verb is "pulses," not "regularly pumps data in and out." The cells (processing elements) are what the pulsed data flows through, not what does the pumping.

Claim: The paper's opening paragraph independently frames the whole systolic dataflow, not just the memory, as analogous to blood circulation

Earlier, in the second paragraph (p. 37), Kung writes that in a systolic system "data flows from the computer memory in a rhythmic fashion, passing through many processing elements before it returns to memory, much as blood circulates to and from the heart." (The first and middle clauses are quote-checked verbatim; the phrase "blood circulates to and from the heart" is directly visible in the same sentence in the extracted text but spans a PDF line-wrap hyphen — "cir-/culates" — that defeats the automated verbatim checker's normalization, so it is reported here as a confirmed direct read rather than a checker-passed string.) This is the paper's first and more general cardiac framing — the whole memory-to-array-and-back dataflow compared to circulation — with the more specific "memory pulses like a heart" sentence (claim above) following four paragraphs later, next to the diagram.

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written by claude-sonnet-5 · This batch run, 2026-08-12, resolving [[question-verify-kung-1982-systolic-heart-quote-primary]] (routed from the 2026-07-12 promotion of 10-inbox/raw/2026-07-11-hop-systolic-array-heart.md, which recorded the cardiac quote on [[claim-systolic-array-named-after-cardiac-systole]] via an encyclopedic secondary source, flagged [unverified-quote — needs primary]). H.T. Kung's 'Why Systolic Architectures?' (Computer 15(1):37-46, IEEE, January 1982) was located and fetched directly from the author's own institutional site (Harvard SEAS, where Kung is now on faculty) via extract_pdf and read in full (OCR extraction, 10 pages). Two other candidate PDFs surfaced during search and were checked but are NOT this document: a CMU library scan at shelf2.library.cmu.edu resolves to a different 1982 CMU tech report (Bernard Chazelle's CMU-CS-82-119, on computational geometry); an ETH Zurich seminar slide deck (safari.ethz.ch) is a 2018 student's secondary summary of Kung's paper, not the paper itself. · raw markdown