FEMU
ssd-gpu-dma
| FEMU | ssd-gpu-dma | |
|---|---|---|
| 1 | 1 | |
| 14 | 298 | |
| - | - | |
| 0.0 | 3.1 | |
| almost 2 years ago | 5 months ago | |
| C | C | |
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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FEMU
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Does QEMU support C++?
I guess I'm really not clear about how QEMU works. There's a QEMU SSD project here called FEMU which emulates a block device. If I wanted to basically have FEMU utilize a C++ compression algorithm instead of a C compression algorithm would there be anything I would have to change about QEMU itself, or can I just change it to use G++.
ssd-gpu-dma
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A Driver on the GPU
Speaking of drivers on the GPU: https://github.com/enfiskutensykkel/ssd-gpu-dma
> Build userspace NVMe drivers and storage applications with CUDA support
> libnvm can be linked with CUDA programs, enabling high-performance storage access directly from your CUDA kernels. This is achieved by placing IO queues and data buffers directly in GPU memory, eliminating the need to involve the CPU in the IO path entirely.
What are some alternatives?
qemu-t8030 - iPhone 11 emulated on QEMU
OpenSuperClone - A powerful data recovery utility for Linux with many advanced features based on Scott Dwyer's HDDSuperClone.
OpenCSD - OpenCSD: eBPF Computational Storage Device (CSD) for Zoned Namespace (ZNS) SSDs in QEMU
testdisk - TestDisk & PhotoRec
xNVMe - Portable and high-performance libraries and tools for NVMe devices as well as support for traditional/legacy storage devices/interfaces.
softgpu - SW and HW accelerated GPU driver for Windows 9x Virtual Machines
sims - Burroughs B5500, ICL1900, SEL32, IBM 360/370, IBM 7000 and DEC PDP10 KA10/KI10/KL10/KS10, PDP6 simulators for SimH
ssas-public - Simple AUTOSAR Basic Software
openSeaChest - Cross platform utilities useful for performing various operations on SATA, SAS, NVMe, and USB storage devices.
rapiddisk - An Advanced Linux RAM Drive and Caching kernel modules. Dynamically allocate RAM as block devices. Use them as stand alone drives or even map them as caching nodes to slower local disk drives. Access those volumes locally or export them across an NVMe Target network. Manage it all from a web API.