2 HN users recommended this lecture3 months2018–2023score 3.5
Years with an HN recommendation, 2007–2026
HN repeatedly recommends it as the best overview of the past, present and future of chip performance after Moore's law.
Hennessy and Patterson's 2018 Turing Award lecture at ISCA, A New Golden Age for Computer Architecture. It covers domain-specific hardware, security, open instruction sets and agile chip development.
“I consistently recommend Hennessy and Patterson's Turing Award Talk[1] as a good overview of the past, present and future of chip performance.” (HN, 2020)
I consistently recommend Hennessy and Patterson's Turing Award Talk[1] as a good overview of the past, present and future of chip performance. [1] - This will take you directly to the meat of the discussion: [this video]
Overview of past, present and future of chip performance.
I recommend watching the Turing Award speech by Patterson and Hennessey which covers this topic. Spoiler: the way out is "Domain Specific Architectures". [this video]
Argues domain specific architectures are the way past Moore's law.
When you posted about joining Oxide I couldn't quite figure out what they (now you) do by looking at the homepage. I stumbled across this other lecture ( [this video] ) that is along the same line of thinking, and it started to make sense.
Interesting off-the-cuff comments[1] about quantum computing in the question period: Patterson: You may get a question "Won't quantum computing ..." — No! Quantum computing is a really exciting; it's not going to happen tomorrow. Hennessy: It's about on the same time-scale as fusion design. [1] [this video]
Q&A where Patterson and Hennessy downplay near-term quantum computing.
They are. Patterson & Hennessy at their Turing Award lecture back in 2017, when they started talking about where future opportunities for increased speed were going to come from, the very first thing they took a (polite) dump on was how software was written very inefficiently: [this video] The old canard that programmer time was worth more than processing time that bad coders quote is less and less true by the year; SWEs who are able to wring better performance out of less hardware resources are going to become more valuable in the future.
Lecture criticizes inefficient software as a source of untapped speed.
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