tomnic

The fix is divided in two parts, as a prerequisite disable SIP for now: 1. Fix the installer A. Download pacifist https://www.charlessoft.com/cgi-bin/pacifist_download.cgi?vers=3.6.2&type=zip install it and after mounting the matlab_R2021a_maci64.dmg go inside the icon InstallForMacOSX.app -> Show package contents -> Contents -> MacOS, open InstallForMacOSX with Pacifist; B. Drag the InstallForMacOSX root folder to your desktop and rename it to InstallForMacOSX; C. Overwrite the two files libtbb.dylib and libtbbmalloc.dylib inside Desktop -> InstallForMacOSX -> bin -> maci64 with my two patched revisions attached here; D. Launch InstallForMacOSX.app inside your extracted desktop InstallForMacOSX folder and install whatever component you want; E. Append .app extension to the folder where you've installed Matlab. 2. Fix the actual installed app A. Go inside your Applications folder -> MATLAB_R2021a.app -> sys -> os -> maci64 and replace the libiomp5.dylib with my patched revision attached here; B. Again go inside the Application folder -> MATLAB_R2021a.app -> bin -> maci64 and replace libtbb.dylib, libtbbmalloc.dylib, mkl.dylib, blas.spec and lapack.spec too. Enjoy! blas.spec.zip lapack.spec.zip libtbb.dylib.zip libtbbmalloc.dylib.zip mkl.dylib.zip libiomp5.dylib.zip

If you have the full dmg with all the complete licensed Matlab setup files just copy archive folder replacing the same one into the InstallForMacOSX patched installer folder and it will work.

Assolutamente, ti serve una discreta

Ricconeeee... ma almeno in single core ti batto mwahahahahah

Nothing useful in this report sadly, can you send me the specific audio plugin? Is it part of waves?

Liquify example Adaptive Wide Angle example Pugetbench results Object selection works, Neural filters work, Camera Raw works, Deepfont works, Pugetbench works... patching only the needed original libraries/plugins to make Photoshop think that it works on a genuine Intel CPU... no libfakeintel, no environmental variables involved. Just replace libmkl_core.dylib into: /Applications/Adobe Photoshop2021/Adobe Photoshop 2021.app/Contents/Frameworks and "Adaptive Wide Angle" in: /Applications/Adobe Photoshop 2021/Adobe Photoshop 2021.app/Contents/PlugIns/Required/Filters/Adaptive Wide Angle.plugin/Contents/MacOS libmkl_core.dylib.zip Adaptive Wide Angle.zip

All you need is put the attached patched lib in: ~/Library/Application Support/discord/0.0.264/modules/discord_krisp Everything works without environmental variables or libfakeintel discord_krisp.node.zip

Sulla signature c'è scritto quanto detto da Carlo, e quindi sarebbe supportata. Ma se si è upgradato la cpu gli serve per forza una discreta

4 GHz for all the 64 cores is an absolute monster 😉 Don't mind about Matlab benchmarks! Your system rocks

I meant Instructions Per Cycle, proportional to Single Core performance (proportional to CPU Clock Frequency), which is not the best both on the 3990x and on the 3970x... you should try to enable PBO if possible just to run this test to see if your results are similar to those of Fabiosun.

If you have a resized resolution for HiDpi disable it for better 2D/3D plot results. Matlab in macOS is very IPC dependent.

Aggiorni Proxmox, adegui qualcosa se c'è qualcosa da adeguare, ma comunque non devi mai rifare le macchine virtuali

...scommetto che un kernel patchato sbucherà in 3... 2... 1...

Saremmo in due ad autobannarci... questo è comportamento scorretto: non è che se la cpu non supportata è figlia di un Dio minore (AMD) non viene dato supporto ufficiale e quando magicamente spunta qualcosa da Intel... puff! Ragazzi si supporta... per questo ho chiesto i benchmark io, se comunque devi avere la metà dei cores disponibili e uno scheduler non all'altezza io andrei su AMD che ormai è solido come una roccia... puah

Qualche bench in queste condizioni minorate?

Waves needs minor patching to make it work with bare metal AMD cpus in macOS, I'll post the patches as soon as possible.

I'll post its patched files in another thread Trial with email and password

This is easy: install normally the program then you only need to replace libtbb.dylib and libtbbmalloc.dylib in Applications/Autodesk/Maya2022/Maya.app/Contents/MacOS with the two patched versions attached here. I provide a simple room scene to do some benchmarking and test the full functionality of the application: just render it with Arnold at 1920x1080 resolution and take your time, mine is 5 min and 35 sec. Note: I'm not using the brew versions of those libraries, just the original versions provided with this specific version of Maya but patched using the correct intel fastmemset and intel fastmemcpy functions revisions that work the fastest way possible with AMD hackintoshes. libtbb.dylib.zip libtbbmalloc.dylib.zip Room_user-guide.ma.zip

Disable SIP as a prerequisite as always. For this program the installation is straightforward: just mount the downloaded dmg, drag the app into your Applications folder in macOS drive. Then you only need to overwrite libiomp5.dylib, libmkl_avx512.dylib and libmkl_core.dylib with my patched versions into Mathematica.app/Contents/SystemFiles/Libraries/MacOSX-x86-64 I include a little benchmark to test the functionality of the app, bench.nb, just unzip it and open it in Mathematica then run it placing your cursor before the word "Needs" in the worksheet and choose the menu function Evaluation -> Evaluate cells. Feel free to post some results, here are mine 😉 Note: as always, native libs of this specific app version are patched to redirect the problematic functions intel fastmemset and intel fastmemcpy to the fastest compatible similar functions for our AMD hackintoshes, also fooling the Genuine Intel CPU check with a trivial function which gives always true as the returning value: no more need to inject code, no more need to use environmental variables or old prepatched libs. libiomp5.dylib.zip libmkl_avx512.dylib.zip libmkl_core.dylib.zip bench.nb.zip

The fix is divided in two parts, as a prerequisite disable SIP for now: 1. Fix the installer A. Download pacifist https://www.charlessoft.com/cgi-bin/pacifist_download.cgi?vers=3.6.2&type=zip install it and after mounting the matlab_R2021b_maci64.dmg go inside the icon InstallForMacOSX.app -> Show package contents -> Contents -> MacOS, open InstallForMacOSX with Pacifist; B. Drag the InstallForMacOSX root folder to your desktop and rename it to InstallForMacOSX; C. Overwrite the two files libtbb.dylib and libtbbmalloc.dylib inside Desktop -> InstallForMacOSX -> bin -> maci64 with my two patched revisions attached here; D. Launch InstallForMacOSX.app inside your extracted desktop InstallForMacOSX folder and install whatever component you want. 2. Fix the actual installed app A. Go inside your Applications folder -> MATLAB_R2021b.app -> sys -> os -> maci64 and replace the libiomp5.dylib with my patched revision attached here; B. Again go inside the Application folder -> MATLAB_R2021b.app -> bin -> maci64 and replace libtbb.dylib, libtbbmalloc.dylib, mkl.dylib, blas.spec and lapack.spec too; Launch MATLAB_R2021b.app and issue the command t=bench to execute a functional test and a benchmark for the most common functions. Feel free to post your screenshots here for comparison, this is mine: Notes: 1. The patched libs are the original libs supplied with this particular version of Matlab but patched to only redirect properly the Intel Fastmem / Fastmemcpy routines on AMD Hackintoshes and to mimic a "true" Intel CPU; 2. The new fixes make this function perfectly working, even when A is a 3x3 matrix: [Q, T] = schur(A); libtbb.dylib.zipblas.spec.zipmkl.dylib.ziplibiomp5.dylib.ziplibtbbmalloc.dylib.zip lapack.spec.zip

Attento a BundlePath è diverso a seconda dei kext, potrebbe non caricarti tutti quelli della serie voodoo proprio per questa difformità. Anzi a guardare bene il problema è nella riga executable path, se usi kext dentro kext hai saltato una parte della path... Esempio BundlePath VoodooI2C.kext/Contents/PlugIns/VoodooGPIO.kext ExecutablePath dovrebbe essere VoodooI2C.kext/Contents/PlugIns/VoodooGPIO.kext/Contents/MacOS/VoodooGPIO Similmente per tutti gli altri kext nei kext, prova e vediamo se va.

Kernel can be easily patched to work with more than 64 threads: https://github.com/apple/darwin-xnu/blob/0a798f6738bc1db01281fc08ae024145e84df927/osfmk/i386/mp.h#L69 ...just change the value of that constant to 128 (or more) and recompile the kernel, or apply a patch in OC / Clover... but the issue then is in the AppleACPIPlatform.kext which cannot handle more than 64 thread and needs to be modded otherwise throwing an early Kernel Panic... the only person known to be able to solve this "issue" is PikerAlpha... but he quitted the Hackintosh scene, after some bad disgraces happened to him and his family... so we can only hope that Apple raises the max possible threads in Darwin. In the meantime, you could raise the base clock of your 3990x overclocking it by 15%, trying to compensate the lack of SMT, if your cooler can stand all the heat produced!

Prova questi tre insieme allora: BlueToolFixup.kext BrcmPatchRAM3.kext BrcmFirmwareData.kext

Usa BlueToolFixup.kext, funziona anche per pennette USB