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Everything posted by Dietmar
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Hi, here is my report about this Gigabyte board Gigabyte B760 ds3h ddr4. Installation of Ramseys XP was ready in less than 5 min. All devices Lan, sound, serial are recogniced at once. I do not know another 1700 socket ATX board with this feature for XP. I came by accident to this 14900k cpu, brandnew. On prime95 this crazy cpu wants (with AVX enabled) 370 Watt, throttled at once to half of 5700 MHZ, brrr.. This cpu is much less stable than the 12900k, which I tested intensive before. It makes records in geekbench 2.4.3 with 56000 points. But in prime95, even with throttle, one core tells suddently bye bye, this you can see with 0%. This core isnt defect, just crashed. Also there are temperature differences about 20 degrees along the chip. The cooler I setup perfect. Intel did a really bad work. The last good chip was the 12900k. Anyway, the nice new cooler Dark Rock pro 5 has now much more space between the rams, Dietmar
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@Mark-XP After a really loong search I buy this PC Tower new SilverStone SETA D1 It has 4x 5.25 slot extern and a lot of possibilities to change all the cases for HD etc. Dietmar
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Hi, I do a lot of search for a new tower for any motherboard, that has the Hot Plug (hot swap) possibility for a 3.5 HD. The Corsair 800D and 900D have it, but only the 800D at its front side. To integrate a Hot Plug case into the tower as the 900D did, is for me without any sense. And I do not want any screws, as the Server Tower Supermicro SC745 // CSE-745 has. Crazy search without any success. Modern tower even dont have any 5.25 slots because of no optical drive. But then I come to the idea to use such a tower with a free 5.25 slot. Waaooh.., her it is: Icy Dock MB795SP-B Speicherlaufwerksgehäuse 2.5/3.5" HDD / SSD-Gehäuse Schwarz (MB795SP-B). It sits in a 5.25 case, has place for a 2.5 and a 3.5 Sata harddisk. AND you can switch them off individually, without disconnecting. They have one power connection, but both Sata connectors are separate. So it is just connected as a normal Sata harddrive. This is near to an ideal solution for me, tell me your thoughts and experiance Dietmar "MB795SP-B"
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@Svyatpro I can confirm this black screen via USB install of XP SP3. I use Firadisk for this, which works mostly. Here not. On some other notebooks I have seen the same behavior. It is the fault of USB implementation on this chipset Haswell. Install of XP SP3 on this nice notebook works only(!) via real burned XP SP3 CD in its DVD slot. Then, I get everything to work under XP SP3 on this notebook from Dell M4800. Waaooh, it is the fastest notebook, that I have ever seen fro XP Dietmar
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@Svyatpro The problem can be the USB. I make the same experiance of hanging at "Windows is starting" before. Make a try with a real CD-Rom, because this notebook Dell precision m4800 has an DVD drive. Use Ramseys XP SP3 from 29 November 2024 with the settings 5, E, F, M, R good luck Dietmar PS: In Bios you can switch between the 2 graphic cards. This can also be a reason for hanging.
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@reboot12 For XP SP3 bit32 you can also use https://msfn.org/board/topic/179059-acpi-patcher-at-boot-time/#comment-1165701 https://github.com/MovAX0xDEAD/ACPI-Patcher for to use a modded DSDT during boottime. No modd in Bios itself! This is a crazy effective way, for to start any compi with original acpi.sys. Until now, I do not see a single compi, where this methode does not work. But it is only for XP SP3 bit32 until now. Would be a nice project, to enable this also for XP SP2 bit64. We have to ask @Mov AX, 0xDEAD for help for this Dietmar
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@reboot12 Yes. This is a crazy behavior of the underlying DSDT table. In summer 2019 we check everything for XP SP3 about USB3 on modern compi. And we can see, that the nearly only reason, why there was no USB3 on modern compis, is a crazy sleeping order in DSDT. All manufacturers try to put XP out of the market and so they come to this "genius" idea. This comes together with acpi2.0 version. But it does not depend on acpi.sys itself. But for to overcome this sleeping order, you have to use the modded acpi.sys or to modd the DSDT in Bios for to get a working USB3 Dietmar
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@reboot12 No. The original acpi.sys works with USB3. The modded acpi.sys is only needed, because most compis with USB3 have acpi tables >1.b, which means unknown opcode for the original acpi.sys from XP SP3 Dietmar PS: I just test on the Lenovo Q180 above. This compi has USB3 and it works with any USB3 driver (Renesas, AMD 145 from Daniel, USB3 from @Mov AX, 0xDEAD ) and the original acpi.sys from XP SP3.
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@casey If the modded acpi.sys is better than the original acpi.sys from XP SP3 depends on for what you use it. When you have a notebook, I think in any case the modded one is the better choice. When you run win10 on your compi, you may see some more devices in Device Manager, because of the OS hack in this modded acpi.sys. In most cases for a desktop compi before 2015, you will see no difference at all. I just test this on a Lenovo Q180 from 2012 with D2550 cpu and AMD Radeon 6450 , same result Dietmar
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@casey Hi, disable everything in Bios, that you dont need for boot. All USB, sound, network, internal graphik, use graphik card, etc. Dietmar PS: I did it for myself on this crazy q1900 board. Step by step I also disabled everything in Device Manager of XP SP3. "Now I have also sound on full ACPI Multiprocessor XP SP3 on the Q1900m board. For this I have to disable "Microsoft UAA-Bustreiber für High Definition Audio" in Device Manager and after this to enable "Microsoft UAA-Bustreiber für High Definition Audio" again, crazy."
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Waoooh, big step forward. Just now no stopping video at youtube any longer with this version 68.14.5b of MyPal for XP Dietmar
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@Outbreaker This is my last working acpi.sys for XP SP3, bit32. https://ufile.io/aijaqmds I modded such a lot of other acpi.sys, but they are always very special for ONE Bsod. This acpi.sys above will work for nearly all desktop pcs from 1999 to 2025 for XP. But for newer notebooks (starting from 2015) there are a lot of different hurdles, mostly in the underlying DSDT for its graphic card Dietmar
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@N100dc Here is the link. There is a new Beta-Bios, but I have not tested. This here works for CSM and XP Dietmar https://ufile.io/zk9i1a2j
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This crazy program learns via Brute Force in an ultrashort time ALL 16 tables, that are possible for an input 0 or 1 into 2 different Neurons, means AND, OR, XOR etc, just all of them Dietmar import numpy as np from itertools import product # To generate all binary combinations and weight combinations # Initialisierung der Schwellenwerte lower_threshold = 0.8 upper_threshold = 1.2 # Trainingsdaten (Inputs für das XOR-Problem und andere) inputs = [[0, 0], [0, 1], [1, 0], [1, 1]] # Alle möglichen Zieltabellen (16 Kombinationen) all_possible_targets = list(product([0, 1], repeat=4)) # Mögliche Werte für die Gewichte (in Schritten von 0.1) weight_values = np.arange(-1.0, 1.1, 0.1) # Trainingsloop für jede mögliche Zieltabelle for table_index, targets in enumerate(all_possible_targets, start=1): print(f"\n=== Wahrheitstabelle {table_index}: Targets = {targets} ===") # Initialisieren der Startwerte bias_list = [0.0, 0.7, 0.9] # Bias nur mit den Werten 0.0, 0.7, 0.9 network_trained = False final_weights = None # Iterate over bias values for bias in bias_list: print(f"Versuch mit Bias {bias}:") # Teste alle Kombinationen der Gewichte for weight_combination in product(weight_values, repeat=2): current_weights = np.array(weight_combination) all_correct = True for input_vector, target in zip(inputs, targets): # Berechnung der gewichteten Summe inkl. Bias weighted_sum = np.dot(input_vector, current_weights) + bias # Aktivierungsfunktion (Schwellenwertfunktion mit zwei Schwellenwerten) output = 1 if lower_threshold < weighted_sum < upper_threshold else 0 # Überprüfe, ob die Ausgabe korrekt ist if target != output: all_correct = False break # Kein Erfolg mit diesen Gewichten; abbrechen # Wenn alle Ausgaben korrekt sind, speichere die Gewichte und Bias if all_correct: network_trained = True final_weights = current_weights break if network_trained: print(f"Das Netzwerk hat Wahrheitstabelle {table_index} erfolgreich gelernt.") print(f"Gewählte Gewichte: {final_weights}") print(f"Gewählter Bias: {bias}") break # Weiter zur nächsten Wahrheitstabelle if not network_trained: print(f"Das Netzwerk hat Wahrheitstabelle {table_index} nicht gelernt.") === Wahrheitstabelle 1: Targets = (0, 0, 0, 0) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 1 erfolgreich gelernt. Gewählte Gewichte: [-1. -1.] Gewählter Bias: 0.0 === Wahrheitstabelle 2: Targets = (0, 0, 0, 1) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 2 erfolgreich gelernt. Gewählte Gewichte: [0.1 0.8] Gewählter Bias: 0.0 === Wahrheitstabelle 3: Targets = (0, 0, 1, 0) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 3 erfolgreich gelernt. Gewählte Gewichte: [ 0.9 -1. ] Gewählter Bias: 0.0 === Wahrheitstabelle 4: Targets = (0, 0, 1, 1) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 4 erfolgreich gelernt. Gewählte Gewichte: [ 9.00000000e-01 -2.22044605e-16] Gewählter Bias: 0.0 === Wahrheitstabelle 5: Targets = (0, 1, 0, 0) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 5 erfolgreich gelernt. Gewählte Gewichte: [-1. 0.9] Gewählter Bias: 0.0 === Wahrheitstabelle 6: Targets = (0, 1, 0, 1) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 6 erfolgreich gelernt. Gewählte Gewichte: [-0.1 1. ] Gewählter Bias: 0.0 === Wahrheitstabelle 7: Targets = (0, 1, 1, 0) === Versuch mit Bias 0.0: Das Netzwerk hat Wahrheitstabelle 7 erfolgreich gelernt. Gewählte Gewichte: [0.9 0.9] Gewählter Bias: 0.0 === Wahrheitstabelle 8: Targets = (0, 1, 1, 1) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Das Netzwerk hat Wahrheitstabelle 8 erfolgreich gelernt. Gewählte Gewichte: [0.2 0.2] Gewählter Bias: 0.7 === Wahrheitstabelle 9: Targets = (1, 0, 0, 0) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 9 erfolgreich gelernt. Gewählte Gewichte: [-1. -1.] Gewählter Bias: 0.9 === Wahrheitstabelle 10: Targets = (1, 0, 0, 1) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 10 erfolgreich gelernt. Gewählte Gewichte: [-1. 1.] Gewählter Bias: 0.9 === Wahrheitstabelle 11: Targets = (1, 0, 1, 0) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 11 erfolgreich gelernt. Gewählte Gewichte: [-2.22044605e-16 -1.00000000e+00] Gewählter Bias: 0.9 === Wahrheitstabelle 12: Targets = (1, 0, 1, 1) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 12 erfolgreich gelernt. Gewählte Gewichte: [ 0.1 -0.1] Gewählter Bias: 0.9 === Wahrheitstabelle 13: Targets = (1, 1, 0, 0) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 13 erfolgreich gelernt. Gewählte Gewichte: [-1.00000000e+00 -2.22044605e-16] Gewählter Bias: 0.9 === Wahrheitstabelle 14: Targets = (1, 1, 0, 1) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 14 erfolgreich gelernt. Gewählte Gewichte: [-0.3 0.3] Gewählter Bias: 0.9 === Wahrheitstabelle 15: Targets = (1, 1, 1, 0) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 15 erfolgreich gelernt. Gewählte Gewichte: [0.1 0.3] Gewählter Bias: 0.9 === Wahrheitstabelle 16: Targets = (1, 1, 1, 1) === Versuch mit Bias 0.0: Versuch mit Bias 0.7: Versuch mit Bias 0.9: Das Netzwerk hat Wahrheitstabelle 16 erfolgreich gelernt. Gewählte Gewichte: [-2.22044605e-16 -2.22044605e-16] Gewählter Bias: 0.9