The 7th edition is supposed to come out on 1 January 2025.
I think most of the essentials remain true today. As for hardware accelerators, they're all some variation of SIMD or an ASIC built to run a specific algorithm.
Von Neumann stuck us with the program counter, and all the waiting that comes along with it. It's almost impossible to walk away from his legacy.
As opposed to what? A stack of program counters? A set of registers containing program counters? Von Neumann seems related to this as much as the fact that you can only beat one person with a single stick.
How seriously though? Also, the priniples behind GPUs and their use - unlike maybe their physical realization - have not changed much since 2011. (See Chapter 4.)
What mechanics would you like the eighth edition to introduce?
The fact that it was true for hardware as well hadn’t been obvious to me till then, coming from a math background and being a self taught coder.
The beauty in this is that you can then build systems that fly if you understand the tradeoffs of all your layers, and make sure you fall on the right side of each of them.
Rather unsurprisingly, I ended up doing HPC, where this is all pretty obvious, but I strongly believe that this is true for all software.
Some readers may be familiar with Computer Architecture: A Quantitative Approach, popularly known as Hennessy and Patterson. (This book in turn is often called Patterson and Hennessy.) Our motivation in writing the earlier book was to describe the principles of computer architecture using solid engineering fundamentals and quantitative cost/performance tradeoffs. We used an approach that combined examples and measurements, based on commercial systems, to create realistic design experiences. Our goal was to demonstrate that computer architecture could be learned using quantitative methodologies instead of a descriptive approach. It was intended for the serious computing professional who wanted a detailed understanding of computers.
A majority of the readers for this book do not plan to become computer architects. The performance and energy efficiency of future software systems will be dramatically affected, however, by how well software designers understand the basic hardware techniques at work in a system. Thus, compiler writers, operating system designers, database programmers, and most other software engineers need a firm grounding in the principles presented in this book. Similarly, hardware designers must understand clearly the effects of their work on software applications.
Thus, we knew that this book had to be much more than a subset of the material in Computer Architecture, and the material was extensively revised to match the different audience. We were so happy with the result that the subsequent editions of Computer Architecture were revised to remove most of the introductory material; hence, there is much less overlap today than with the first editions of both books.
>At this point all of the areas we are working on could progress much faster with money for hiring people. That was not always the case…
>Also, we could disclose a lot more if we could file patents for what we still have as internal ideas, but that requires money as well.
And in 2020:
>In some ways the plague [COVID] is much less a problem for the Mill project than for other businesses. We have always been a distributed virtual company, so we already had work-from-home worked out. And as a sweat-equity organization with a burn rate of zero we have an infinite runway, while so many others are shut down and going bust.
At some point (now), you have to give up on the hope for a white knight to show up and fund you, and just go the H&P way and publish what you are working on. No one will steal your inventions.
I can't believe it is still the best. it's been like 30 years. During that time, so much has happened--the death of supercomputer companies like Convex and Cray, SIMD going from expensive computers like the MASPAR MP-1 to being on virtually every processor, the dot com boom, the rise of google-style server farms, etc etc.
And now the transition to neural net processing.
I mean, it is a testament to the authors that they could keep their competitors from even thinking about trying to write a competing book for so long. It is a great case study in how to stay relevant in tech for the long term.
But man, before it came out, every year 2 or 3 new textbooks in computer architecture came out, each one detailing the next cool thing which computer architectures were being called upon to do.
It's exhibit A of Peter Thiel's case that we are living in an era of very low innovation. If Computer Architecture were a really healthy field, classes would have to be taught from recently-published papers, because it was moving faster than a textbook could be published.
Hat's off to the authors, but man, this is really depressing.
I really don't get this perspective. How can you possibly hope to understand "recently-published papers" without first understanding the basics of the field, which is what Hennessy and Patterson covers? Every subject has introductory textbooks from which introductory courses are taught, and then you can take more advanced courses that can, among other things, include material from recently-published papers. Are there even any fields where courses must be taught from recently-published papers?
On another note, it's not like no more computer architecture textbooks are made. Look at the Synthesis Lectures on Computer Architecture series.
A healthy field moves faster than the textbooks can keep up. Consider the field of, say, personal transportation, during the turn of the century. I'm sure they had some very classic textbooks on veterinary medicine for horses and oxen. But they probably didn't have a lot of classic textbooks on being an auto mechanic.
In the 80's and 90's, if you were studying AI in school, they'd be teaching you prolog, first order logic, various parsing techniques, heuristics to search through graphs. Now it is neural nets, transformers, etc.
A healthy field has to "tear up the textbooks" every 10 years or so.
https://shop.elsevier.com/books/computer-architecture/hennes... - If you want paperback + PDF for the same price as just the paperback from Amazon.
