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Milan Kemezy
Can't remember wich motherboard it is( may have answer tomorrow)but it has PCI slots, ISO aswell i think. Want to throw quake 2 at it and play on the still live servers haha but the network card is missing! Do you guys think any adapter would work? (except wifi adapters of course) will windows 98's original Ethernet drivers recognize any basic new card? ( if no, with tears in my eye have to gut the ol' 1.5 ghz gaming pc, but that one is windows 2000 and still works with my wifi usb adapter)
Also drivers available for the Realtek - some call them "crab cards" due to Realtek's logo on the chipset - some brand name cards also use the chipset, and will work fine with generic Realtek drivers.
Realtek 8139 is also a solid card in my opinion (my only copy is a 10mbit only card, though), and it has the ability to have native support from windows 9x and above. It definitely has working drivers available for Windows 3.11 (just as virtually all 3c905s have).
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To me 3com cards are really great because they get the job done without asking the cpu too much. The etherlink 3 is one of my favorite dos/win3x card due to it being supported by windows 3.11 and the Microsoft network client out of the box which is really neat and saves a lot of time and the etherlink XL 10/100 (also know as 3c905b-tx) is my favorite for windows 9x for the same reasons. They also have boot roms available on the internet that you can find easily and they are well documented.
Alright thanks everyone for the quick reply! if I find an older card I would be pleased! But do you guys think any contemporary card will work? found a really cheap TP-LINK TF-3239DL still on the market for example and it says it's plug and play (maybe not PnP in windows 98?) I'm not really that good with older systems and these kind of components. I'm just starting out as a vintage collector. Shouldn't any 10/100 card be recognized by W98?
I have used just about every thing out there and I can't say the same, Reel tech cards are ok, its not like one will be watching youtube or using PXE on a 9x box. VIA also make a few good chipsets for 9x systems. it all really depends on what your doing.
Anything with the Realtek 8139 chipset will be well-supported in Windows (95 through 10, 3.1 may be a little troublesome). The newer gigabit-capable Realtek 8169 and 8111 have Win9x drivers also, but are kinda overkill. But, they're so cheap and common that you might as well.
Intels and 3Coms are better cards, no doubt, and the AMD Lance/PCNet/PCNet-Fast are solid too, but if you want cheap and good enough, Realtek will fit the bill. I would strongly prefer a 3Com (3c905c) or Intel (EEPro100 or EEPro1000) if you're going to be hosting games, though - those chips handle large numbers of packets more adroitly.
In the plots below, you can see that the smaller model (89k atoms) resulted in a peak PPD of about 4 million, as opposed to the 7 million PPD with a 312k atom model. PPD/watt at 100% card power was also less efficient for the smaller model, coming in at about 16,500 PPD/Watt vs. 10,000 PPD/Watt. These are still great efficiency numbers, which shows how far GPU computing has come from previous generations.
Here are the comparison results to the previous hardware configurations I have tested. Note that now that the F@H client supports enabling CUDA, I did some tests with CUDA on vs. off with the RTX 2080 Ti and the 3090. Pro Tip: MAKE SURE CUDA IS ON! It really speeds things up and also improves energy efficiency.
In the last part of this review, I investigated the differences seen between running Folding@Home with SMT (also known as Hyperthreading) on and off. The conclusion from that review was that performance does scale with virtual cores, and that the best science-fighting and energy efficiency is seen with 30 or 32 threads enabled on the CPU folding slot.
In this final article, I enabled CPB to allow the Ryzen 9 3950x to scale its frequency and voltage based on the load and the available thermal and power headroom. Note that for this test, I used the default AMD settings in the BIOS of my Asus Prime X570-P motherboard, which is to say I did not enable Precision Boost Overdrive or any other setting to increase the automatic overclocking beyond the default power and thermal limits.
The point of this testing is to identify the best settings for performance and energy efficiency when running Folding@Home on the Ryzen 3950x 16-core processor. To do this, I set the # of threads to a specific value between 1 and 32 and ran five work units. For each work unit, I recorded the instantaneous points per day (PPD) as reported in the client, as well as power consumption of the machine as reported on my P3 Kill A Watt meter. I repeated this 32 times, for a total of 160 tests. By running 5 tests at each nCPU setting, some of the work unit variability can be averaged out.
As noted in my previous posts, some settings of the # of CPU threads result in the client defaulting to a lower thread count to prevent numerical problems that can arise for certain mathematical operations. For reference, the equivalent thread settings are shown in the table below:
This plot looks fairly similar to the performance plot. In general, throwing more CPU threads at the problem lets the computer do more work in a unit of time. Although higher thread counts consume more power than lower thread counts, the additional power use is offset by the massive amount of extra computational work being done. In short, effiency improves as thread count improves.
As far as optimum settings, to get the most bang for electrical buck (i.e. efficiency), running that 30-thread CPU slot requires SMT to be enabled. Disabling CPB, which is on by default, results in a massive efficiency improvement by cutting over 50 watts off the power consumption. For a dedicated folding computer running 24/7, shaving that 50 watts off the electric bill would save 438 kWh/year of energy. In my state, that would save me $83 annually, and it would also save about 112 lbs of CO2 from being released into the atmosphere. Imagine the environmental impact if the 100,000+ computers running Folding@Home could each reduce their power consumption by 50 watts by just changing a setting!
As expected, as you throw more CPU cores at a problem, the computer can chew through the math faster. Thus, more science gets done in a given amount of time. In the case of Folding@Home, this performance is rated in terms of Points Per Day (PPD). The following plot shows the increase in computational performance as a function of # of threads utilized by the solver. Unlike in my previous testing on the 3950x, here an increase of 1 thread corresponds to an increase of 1 engaged CPU core, since virtual threads (SMT / Hyperthreading) are disabled.
As a side note, certain settings of thread count actually result in the exact same performance, because the Folding@Home client is internally using a different number than the specified value. For example, setting the CPU slot to 5 threads will still result in a 4-thread solve, because the solver is avoiding the numerical issues that occur when trying to stitch the solution together with 5 threads (5 is a tricky prime number to work with numerically). I noted these regions on the plot. If you would like more detail about this, please read the previous part of this review (part 2).
As with performance, setting Folding@Home to use 15 CPUs instead of the full 16 is surprisingly the best option for efficiency. The difference is pretty profound here, as the processor used more power at 16 threads than at 15 threads while producing less points at 16 threads than at 15.
The final observation worth noting is that in both cases, setting the F@H client to use the maximum available number of threads (16 for SMT off, 32 for SMT on) is not the fastest or most efficient setting. Backing the physical core count down to 15 (and, similarly, the SMT core count down to 30) results in the fastest and most efficient solver performance.
If you enjoyed this article, perhaps you are in the market for an AMD Ryzen 9 3950x or similar Ryzen processor. If so, please consider using one of the links below to buy one from Amazon. Thanks for reading!
Welcome back everyone! In my last post, I used my rebuilt benchmark machine to revisit CPU folding on my AMD Ryzen 9 3950x 16-core processor. This article is a follow-on. As promised, this includes the companion power consumption and efficiency plots for thread settings of 1-32 cores. As a quick reminder, I did this test with multi-threading (SMT) on, but with Core Performance Boost disabled, so all cores are running at the base 3.5 GHz setting.
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