The Connection Machine (Artificial Intelligence) by W. Danny Hillis (PDF)

Description

The Connection Machine describes a fundamentally different kind of computer. It offers a preview of a parallel processing computer that Daniel Hillis and others are now developing to perform tasks that no conventional, sequential machine can solve in a reasonable time. W. Daniel Hillis is a founder of Thinking Machines Corporation where he is engaged in building connection machines as a significant step toward real thinking machines. The Connection Machine is included in the Artificial Intelligence series, edited by Patrick Winston, Michael Brady, and Daniel Bobrow.

User’s Reviews

Editorial Reviews: Review “This wonderfully lucid book describes what history may judge to be the second state in the evolution of digital computers.” —Marvin Minsky, MIT “The presentation is excellent…. As in the best of crime novels, the reader is made to become more and more curious as to how the central problem of the machine design will be solved I will refrain from giving any clues to the answer – it would spoil the suspense for future readers.” —A. M. Andrew, Robotics “The Connection Machine will be appreciated by those who require a lucid description of a computer design that is truly ingenious.” —Igor Aleksander, Nature

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Looking to write your first CUDA kernel, or map-reduce job? Even 30+ years later, this book is still the best introductory read to the science of computational parallelism. Hillis, using clear and simple, non-technical language, starts from the basic premise of how powerful parallel computing can be by using the human brain’s interpretation of a Picaso sketch as an example. He discusses the bottlenecks inherent in traditional “single-core” computing and defines an architecture for the worlds first “massively” parallel processing computer using cheap and simple off-the-shelf PC chips at a time when supercomputing was dominated by huge, liquid-cooled, maintenance intensive Cray-like architectures. Now all “supercomputers” utilize this concept of massivel parallel computation which Hillis pioneered.Having written my fair share of CUDA code, I can tell you this book will help you understand the philosophy of CUDA from a very high abstract level. NVIDIA GPUs are conceptually very much like the architecture Hillis envisioned, but instead of fitting into a room, now fits into your PC or laptop and is many times more powerful than Hillis’ first prototype.

⭐That was an amazingly forward-looking question in 1986. The machine and language described in this text gave rise to Thinking Machines. Still a fascinating read for those interested in distributed computing, parallel processing systems, etc.

⭐Inspiring read.

⭐This book is great. I have loved computers for years, and this book has given me a completely different way to think about them.Hats off to Daniel Hillis!-n8

⭐Especially given that this book is in fact a doctoral dissertation, it’s extremely easy to read. This is not to say that it is written for children, but rather, the author has used language well to convey concepts rather than to confuse and sound stuffy.The book states the limitations of the traditional Von Neumann computer architecture (which by and large we are still stuck with today) and then goes on to explain how an entirely different approach with many processors could work.

⭐This reference describes a computer architecture containing thousands of processor/memory cells that can be connected together by software, and the rational behind this architecture. It is easy to read, and is useful in providing the general reader with a feel for large multiple processor computation, in particular an architecture well suited for semantic network marker propagation.

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