morphle

19 ms·

151.
by morphle 2y ago
>Bountiful cheap energy is much more attractive than the futures most people write about A squandrable abundance of free and clean energy means we solve the climate change and sixth mass-extinction crises in the next few years! It should
152.
by morphle 2y ago
> I hope to see you or your faithful recreation in the Matrioskha brain one day. That where my earliest thoughts, 11 years old, that got me into computing: upload my brain into a Matrioskha brain or at least study the human brain by bui
153.
by morphle 2y ago
>Is anyone doing anything with transputer technology now? Yes, our Morphle Engine Wafer Scale Integration and our earlier SiliconSqueak microprocessor designs and supercomputers borrows many special features of the Transputer designs by
154.
by morphle 2y ago
Yes I've heard of such a thing [1], it is probably worth $50. This PCB board is just a cluster of 8 V20 (Intel 8088) compatible 16 bit processor, nothing to write home about. It is not considered an early attempt at an accelerator car
155.
by morphle 2y ago
You could polish it by using variable size precision floats or at least quadruple size 128 bit floating point. This requires you to create a programming language compiler or use my parallel Squeak programming language (it is portable) and h
156.
by morphle 2y ago
We can create enough compute and SRAM memory for a few hundred million dollars. If we apply science there are virtually no limits within in a few years. See my other post in this discussion.
157.
by morphle 2y ago
There are virtually no limits (for Mandelbrot and computing in general) because there are few limits on the growth of knowledge [5]. In a few decades we will have learned to take CO2 (carbon dioxide) molecules out of the air [4] and rearran
158.
by morphle 2y ago
In 1986 we wrote a parallel Mandelbrot program in assembly instructions in the 2K or 4K on-chip SRAM of 17 x T414 Transputer chips linked together with 4 x 10 Mbps links each into a cheap supercomputer [1]. It drew the 512 x 342 pictures on
159.
by morphle 2y ago
>but there's no way to get the data into it at 100 Gbps I'm confident you can get 100 Gbps in by aggregating M4 Mac mini ports. I resell a $199 Microtik CCR2004-1G-2XS-PCIe SmartNIC with 2 x 25 Gbps QSFP28 that connects to a x8
160.
by morphle 2y ago
You (or your compiler) write the instructions and data into unified memory (up to 192 GB) and jump to the first instruction (usually of a loop) on each core. GPU and ANE processor cores are not fundamentally different from CPU cores, they j
161.
by morphle 2y ago
I forgot to add links to talk [5] by IBM Research on massively parallel Squeak Smalltalk and why it might be relevant for Apple Silicon reverse engineering and M4 clusters. Talk [6] on free space optical interconnects without SerDes some da
162.
by morphle 2y ago
You are right. The zero-day exploits might be worth roughly a million each, but not the family tree of native GPU's, ANE, CPU instruction sets and microarchitecture on which they would be based. My apology for writing unclearly, Englis
163.
by morphle 2y ago
No, I don't think it is impossible for MacOS. I might be missing a detail here, not sure. I have to think it over. I have seen [1] you can patch ANECompilerService, so you can even speed up existing code, because Apple compiles your co
164.
by morphle 2y ago
>Any methodology I could help contribute on? Several people have already contacted me today with this request. This is how I give out details and share current progress with you. Yes, you can help, most people on HN could. It is not that
165.
by morphle 2y ago
Yes, knowing the exact CPU and ANE assembly instructions (or the underlying microcode!!) allows for general purpose software to adaptively compile processes on all the core types, not just the CPU ones. Its won't always be faster, you
166.
by morphle 2y ago
>What is the main reason? I can't guess what is the main reason. There might not even be a main reason, as many groups of people at Apple and its shareholders decided this over the years. (Also see my speculations below in this th
167.
by morphle 2y ago
Here a video of testing Exo to run huge LLMs on a cluster of M4 Macs[1] more cheaply than with a cluster of NVDIA RTX 4090s. [1] https://www.youtube.com/watch?v=GBR6pHZ68Ho
168.
by morphle 2y ago
It is not the first time they built super computers from off the shelf Apple machines [1]. M4 supercomputers are cheaper and it also will be lower Capex and Apex for most datacenter hardware. >do you happen to have some further informati
169.
by morphle 2y ago
I agree that it allows Apple to redefine Apple Silicon instruction sets without having do explain it to 3rd party software developers, but it is certainly not the main reason they hide the technical documentation of the chips.
170.
by morphle 2y ago
I concur, they are virtually untouchable in this respect. No one else will throw a trillion or more into developing lower power faster silicon.
171.
by morphle 2y ago
You use SerDes high speed serial links (up to 224 Gbps in 2025) to communicate between chips. A PCIe lane is just a Serdes with a 30% packet protocol overhead that uses DMA to copy bytes between to SRAM or DRAM buffers. You aggregate PCIe l
172.
by morphle 2y ago
> Where does the 270 gbit/s networking figure come from? Is it the aggregate bandwidth from the pcie slots on the Mac pro We both should restate and specify the calculation for each different Apple Silicon chip and the PCB/mach
173.
by morphle 2y ago
There certainly is a reason and indeed you don't see it because Apple downplays these things in their PR. It might be the same reason that is behind NVDIA's CUDA moat. CUDA lock-in prevented competitors like AMD and Intel to convi
174.
by morphle 2y ago
Most Cloudflare sites throw up captchas, switching to other Mullvad servers every hour does not help anymore. Reddit blocks completely. Many other YC funded startups block Mullvad VPN (I miss Paul Graham's influence, don't you?).
175.
by morphle 2y ago
You can help with the reverse engineering of Apple Silicon done by a dozen people worldwide, that is how we find out the GPU and NPU instructions[1-4]. There is over 43 trillion float operations per second to unlock at 8 terabit per second
176.
by morphle 2y ago
Mary Lou Jepsen of openwater.cc [2] has managed to image neurons and other large cell structures deep inside living bodies by phase wave interferometry and descattering signals through human tissues, even through skull and bone[1] using CMO
177.
by morphle 2y ago
Its a few hundred gigabyte. You can only login with an institutional account. My research institute is very small, can I borrow someone's login credentials? (email in profile).
178.
by morphle 2y ago
We also have been developing six kinds of reconfigurable processors (Morphle engine and SiliconSqueak) for our Wafer Scale Integration since 2008. A little information and slides can be found in the four hour talk [1] and in our papers sinc
179.
by morphle 2y ago
mpv is always faster than IINA, especially with 4K playback on older MacOS. mpv is near perfect
180.
by morphle 2y ago
>hey, i've been looking for those numbers for years! where did you get them? I just googled "low power epaper" and read the summaries for mentions of mW and J

More ›