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#gpu

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In honor of Trans Day of Visibility, here’s something really cool for you to know…

A computer scientist trans woman by the name of Sophie Mary Wilson was a co-creator of the ARM architecture.

More about Sophie:
en.wikipedia.org/wiki/Sophie_W

Great video on the history of ARM, which is computer science geeky stuff (sorry about YT):
youtube.com/watch?v=nIwdhPOVOU

en.wikipedia.orgSophie Wilson - Wikipedia

Looking forward to learning more about this libre-licensed RISC-V SoC with Kazan GPU and VPU.

crowdsupply.com/libre-risc-v/m

I'm really curious how these types of chips are prototyped. I know we can simulate a few hundred thousand logical operations with an FPGA, but is that even close to simulating a powerful chip of this size?

Crowd SupplyLibre RISC-V M-ClassA 100% libre RISC-V + 3D GPU chip for mobile devices
#riscv#soc#libre

I made this #FluidX3D #CFD simulation run on a frankenstein zoo of 🟥AMD + 🟩Nvidia + 🟦Intel #GPU​s! 🖖🤪
youtube.com/watch?v=_8Ed8ET9gB

The ultimate SLI abomination setup:
- 1x Nvidia A100 40GB
- 1x Nvidia Tesla P100 16GB
- 2x Nvidia A2 15GB
- 3x AMD Instinct MI50
- 1x Intel Arc A770 16GB

I split the 2.5B cells in 9 domains of 15GB - A100 takes 2 domains, the other GPUs 1 domain each. The GPUs communicate over PCIe via #OpenCL.

Huge thanks to Tobias Ribizel from TUM for the hardware!

I got access to @LRZ_DE's new coma-cluster for #OpenCL benchmarking and experimentation 🖖😋💻🥨🍻
I've added a ton of new #FluidX3D #CFD #GPU​/​#CPU benchmarks:
github.com/ProjectPhysX/FluidX

Notable hardware configurations include:
- 4x H100 NVL 94GB
- 2x Nvidia L40S 48GB
- 2x Nvidia A2 15GB datacenter toaster
- 2x Intel Arc A770 16GB
- AMD+Nvidia SLI abomination consisting of 3x Instinct MI50 32GB + 1x A100 40GB
- AMD Radeon 8060S (chonky Ryzen AI Max+ 395 iGPU with quad-channel RAM) thanks to @cheese

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use. - ProjectPhysX/FluidX3D
GitHubGitHub - ProjectPhysX/FluidX3D: The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use. - ProjectPhysX/FluidX3D

📣 NEWS FOR #HAIKU: #NVIDIA GPU support coming soon! 🚀

Developer @X512 has successfully ported Nvidia kernel drivers to Haiku. The driver will support Turing+ GPUs and already includes Vulkan integration via Mesa's NVK.

Initial tests are working and show potential for future uses, including AI acceleration with llama.cpp.

A major step forward for the Haiku ecosystem and hardware compatibility!

#OpenSource #GPU #Vulkan #Driver #AlternativeOS

🔗 desktoponfire.com/haikuos/soft

🚨 Akira ransomware's encryption cracked! 🔓 Security researcher Yohanes Nugroho decrypted files without paying, using cloud GPU power. 💪 He shared the decryption tool on GitHub. A flaw in Akira’s encryption allowed timestamps to be correlated. More info: cyberinsider.com/akira-ransomw #ransomware #cybersecurity #datarecovery #GPU #newz

CyberInsider · Akira Ransomware Encryption Cracked Using Cloud GPU PowerA security researcher successfully decrypted files encrypted by the Linux/ESXi variant of Akira ransomware without paying the ransom.