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Groups > sci.physics.relativity > #671456
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | sci.physics.relativity, sci.math |
| Subject | So memory bandwidth is no issue at all (Re: pi-WAM is just like Laika3, the first Dog on Mars) |
| Date | 2026-07-15 18:35 +0200 |
| Message-ID | <1138ct5$59mb$1@solani.org> (permalink) |
| References | <1131tbj$tqe$9@solani.org> <113591l$35be$1@solani.org> <1138bf3$58mb$3@solani.org> |
Cross-posted to 2 groups.
Hi, So memory bandwidth is no issue at all for this kind of backtracking problem. Its all about arithmetic bandwidth . And since I am not using vectors or matrices, it is still poor. You can do the math. The CPU has 16 logical cores (8 physical with hyperthreading). The GPU single-threaded is around 5 times slower than the CPU single threaded, but their number is greater. Now you can do t he math as follows: 16 * 11.4 / 1.7 * 5 = 536.47 Pretty much the number of shader cores (*), i.e. 512, that the Ryzen AI 7 350 laptop offers in its integrated GPU Radeon 860M. LoL Bye (*) Unified shading units (also referred to as unified shaders, shader cores, or stream processors) are flexible processing components inside a graphics processing unit (GPU) that can handle any type of rendering or compute task. Mild Shock schrieb: > Hi, > > We recently implemented a parallel π-WAM > on a GPU backend and could demonstrate an > estimated 11.4 Giga Lips. In this post we > report a further experiment, this time > presenting a parallel π-WAM on a CPU backend, > that can lift specialized Prolog, currently > to 1.7 Giga Lips performance. > > Having an excess number of threads is a > bad idea. What if we do context switching > on our own? With this approach we could > bring down the execution time of 128 Hack > VMs by 33%. We estimate for the test which > had 11.4 GLips on the GPU, that we reach > 1.7 GLips on the CPU. > > Bye > > See also: > > Parallel π-WAM: 1.7 Giga Lips on a CPU > https://medium.com/2989/8a984e75af44 > > Mild Shock schrieb: >> Hi, >> >> TSMC's 2nm (N2) node and the 7 GHz target >> represent a monumental milestone in silicon >> manufacturing, shifting away from legacy >> FinFETs to advanced Gate-All-Around (GAA) >> nanosheet transistors. >> >> This evolution allows chip designers—particularly >> in the PC and AI sectors—to push processor >> clock speeds previously thought impossible >> on standard nodes >> >> AMD confirms Zen 6 rollout for its July 22 AI event >> https://videocardz.com/newz/amd-confirms-zen-6-launches-in-less-than-two-weeks-starting-with-epyc-venice >> >> >> Production of the 6th Gen EPYC family is >> already ramping up. AMD says Venice is its >> first high-performance computing product >> manufactured using TSMC’s 2nm process >> technology. >> >> Bye >> >> Mild Shock schrieb: >>> Hi, >>> >>> For marketing purposes people >>> typically look at the race towards >>> 2nm, and we find: >>> >>> A month ago, Apple lost its exclusivity >>> on 3 nm smartphone processors with >>> MediaTek’s Dimensity 9400 chip, integrated >>> in the Vivo X200 Pro smartphone. Qualcomm >>> is also in the race with its recently >>> unveiled Snapdragon 8 Elite and set to >>> power the Xiaomi 15 Pro in 2025. However, >>> Apple should regain its position as innovation >>> leader in 2026 with the release of the >>> iPhone 18, which should feature the A20 >>> chip built on TSMC’s 2 nm process." >>> >>> But there is a vertical vias revolution >>> going on as well, some SOCs typically >>> being at 18 layers now: >>> >>> Zooming Into a CPU (It's Incredible) >>> https://www.youtube.com/watch?v=Bez-2cvYja0 >>> >>> imec has coined the term CMOS 2.0: >>> >>> LEUVEN (Belgium), MARCH 12th, 2026 — Imec, >>> a world-leading research and innovation hub >>> in advanced semiconductor technologies, has >>> launched a first-of-its-kind consortium with >>> 26 European university groups that will jointly >>> work on the technology roadmap beyond >>> CMOS scaling (CMOS 2.0). >>> https://www.imec-int.com/en/press/imec-launches-university-consortium-around-next-generation-chips >>> >>> >>> So we might see more mobile grade GPUs. >>> >>> Bye >> >
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TSMC's 2nm (N2) node and the 7 GHz target (Was: Creating a "European CMOS 2.0 Army") Mild Shock <janburse@fastmail.fm> - 2026-07-14 14:11 +0200
Re: TSMC's 2nm (N2) node and the 7 GHz target (Was: Creating a "European CMOS 2.0 Army") Ross Finlayson <ross.a.finlayson@gmail.com> - 2026-07-14 08:49 -0700
Re: TSMC's 2nm (N2) node and the 7 GHz target (Was: Creating a "European CMOS 2.0 Army") Keyler Babaskin <nb@erbbiia.ru> - 2026-07-14 16:55 +0000
pi-WAM is just like Laika3, the first Dog on Mars (Re: TSMC's 2nm (N2) node and the 7 GHz target) Mild Shock <janburse@fastmail.fm> - 2026-07-15 18:11 +0200
So memory bandwidth is no issue at all (Re: pi-WAM is just like Laika3, the first Dog on Mars) Mild Shock <janburse@fastmail.fm> - 2026-07-15 18:35 +0200
Re: So memory bandwidth is no issue at all (Re: pi-WAM is just like Laika3, the first Dog on Mars) Dominique Belorussov <os@ssdoi.ru> - 2026-07-16 13:44 +0000
For iGPU which acts as a APU RAM is shared (Was: So memory bandwidth is no issue at all) Mild Shock <janburse@fastmail.fm> - 2026-07-16 17:07 +0200
Re: For iGPU which acts as a APU RAM is shared (Was: So memory bandwidth is no issue at all) Bobauk Modenov <bo@modoadb.ru> - 2026-07-16 17:45 +0000
Village Idiot wants 8088 back [Puting Troll] (Was: For iGPU which acts as a APU RAM is shared) Mild Shock <janburse@fastmail.fm> - 2026-07-16 23:02 +0200
VT100 25 x 80 terminal = 2000 Bytes (Was: Village Idiot wants 8088 back [Puting Troll]) Mild Shock <janburse@fastmail.fm> - 2026-07-16 23:08 +0200
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