It is all so cool, but what about reliability and introduction of complexity to the point as we still have another law, more parts in the system, higher the probability of failure. The more distributed the system is the higher the probability of the failure of that specific unit that will cause the freeze of the of this distributed system due to race conditions and other synchronization/time domain problems? Really interested in this part.
HI Andy. The one thing I think it would be great for you to address, given that the concepts of computational storage have been proposed and tried for at least 30 years (e.g. Netezza and the likes of Jim Gray, Erik Reidel), what has changed that this idea will succeed now? To me, the problem has been similar to the problem of parallelizing any computation: it has to partitioned properly. There are a certain class of problems that naturally allow partitioning and parallel execution, but have we gotten the point where generally that's true?
Applying the lessons of mainframes, shared-nothing architectures, etc. to the relative stupidity of the "it's just a bigger PC" design of almost everything these days. "Symmetric" multi-processing and symmetric NUMA need to go away too...
well i think there is a strong argument to be made that there is a duopoly on cpu design. So it could be argued that both companies have become uncompetitive. Ampere is catching up, maybe when they do Moor's Law will revive. Then the issue is going to be that making massively powerful cpus will have a small market slowing down considerably the production of better cpus.
Amazing stuff! It is always a privilege to hear Jim speak.
Thank you for clear explanation, You're awesome sir👍
Loved the narrator, please more theory from him.
Awesome. Loved your video. Thank you
Great presentation, Andy! Thank you!
Great insight 👏
Great session Andy - thank you !
Thank you for reinventing the wheel, good job!...
jfyi: at 4:23 Andrew mentions an ASIC (An application-specific integrated circuit ) and it is subtitled as a-sync.
Whoops, corrected. Thanks!
Very well done, thank you!
awesome explanation sir :)
Great content! I am curious about hows the filming done, I mean the transparent "whiteboard".
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Straight and clear!
thx for this precious information
Excellent videos..
It is all so cool, but what about reliability and introduction of complexity to the point as we still have another law, more parts in the system, higher the probability of failure. The more distributed the system is the higher the probability of the failure of that specific unit that will cause the freeze of the of this distributed system due to race conditions and other synchronization/time domain problems? Really interested in this part.
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HI Andy. The one thing I think it would be great for you to address, given that the concepts of computational storage have been proposed and tried for at least 30 years (e.g. Netezza and the likes of Jim Gray, Erik Reidel), what has changed that this idea will succeed now? To me, the problem has been similar to the problem of parallelizing any computation: it has to partitioned properly. There are a certain class of problems that naturally allow partitioning and parallel execution, but have we gotten the point where generally that's true?
Is the presence of computationally-enabled devices made transparent to user-level application source code?
Is David Vorick’s “Proof of Work” data-file-storage blockchain technology project: Sia Coin
Nice
Looks like distributed computing is coming to microcomputers.
Nvidia has left the chat
Applying the lessons of mainframes, shared-nothing architectures, etc. to the relative stupidity of the "it's just a bigger PC" design of almost everything these days. "Symmetric" multi-processing and symmetric NUMA need to go away too...
well i think there is a strong argument to be made that there is a duopoly on cpu design. So it could be argued that both companies have become uncompetitive. Ampere is catching up, maybe when they do Moor's Law will revive. Then the issue is going to be that making massively powerful cpus will have a small market slowing down considerably the production of better cpus.