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Scalable Link Interface (SLI) is the brand name for a now discontinued multi-GPU technology developed by Nvidia (The technology was invented and developed by 3dfx and later purchased by Nvidia during the acquisition of 3dfx) for linking two or more video cards together to produce a single output.
Scalable Link Interface NVLink is a wire-based serial multi-lane near-range communications link developed by Nvidia . Unlike PCI Express , a device can consist of multiple NVLinks, and devices use mesh networking to communicate instead of a central hub .
Binary-code compatibility (binary compatible or object-code compatible) is a property of a computer system, meaning that it can run the same executable code, typically machine code for a general-purpose computer central processing unit (CPU), that another computer system can run.
Scalable Link Interface Scan-Line Interleave ( SLI ) is a multi-GPU method developed by 3DFX for linking two (or more) video cards or chips together to produce a single output. It is an application of parallel processing for computer graphics , meant to increase the processing power available for graphics.
3GPP2—3rd Generation Partnership Project 2; 3NF—third normal form; 386—Intel 80386 processor; 486—Intel 80486 processor; 4B5BLF—4-bit 5-bit local fiber; 4GL—fourth-generation programming language; 4NF—fourth normal form; 5GL—fifth-generation programming language; 5NF—fifth normal form; 6NF—sixth normal form; 8B10BLF—8-bit ...
This is a list of free and open-source software packages (), computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
This is a list of notable library packages implementing a graphical user interface (GUI) platform-independent GUI library (PIGUI). These can be used to develop software that can be ported to multiple computing platforms with no change to its source code .
CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI. [12] CuPy is a NumFOCUS sponsored project. [13]