Core Viewpoint - NVIDIA's significant upgrade to its CUDA software stack, particularly the introduction of CUDA Tile, may signal the end of its software exclusivity, as suggested by chip architect Jim Keller [2][4]. Group 1: CUDA Tile Introduction - CUDA Tile represents a major advancement in NVIDIA's CUDA 13.1, introducing a new virtual instruction set for tile-based parallel programming, allowing developers to focus more on algorithm design rather than hardware specifics [6][9]. - The new tile-based programming model simplifies the coding process, enabling broader user access to GPU programming by abstracting complex GPU details [4][6]. Group 2: Impact on Code Portability - Jim Keller believes that CUDA Tile will simplify the process of porting code to other GPUs, such as AMD's, due to the commonality of the tile-based approach in the industry [5]. - While code migration may become easier, the proprietary technology behind CUDA Tile, like Tile IR, is optimized for NVIDIA hardware, potentially maintaining NVIDIA's competitive edge [5]. Group 3: Programming Paradigm Shift - The introduction of CUDA Tile allows for a higher level of abstraction in programming, enabling developers to write more advanced code with minimal modifications for efficient execution across multiple GPU generations [9][12]. - CUDA Tile IR serves as the underlying interface for most programmers interacting with tile programming, facilitating the development of domain-specific languages and compilers [12]. Group 4: Coexistence of Programming Models - The tile programming paradigm does not require a choice between SIMT and tile programming; both can coexist, allowing developers to utilize the most suitable method for their specific needs [10].
Jim Keller:英伟达“自毁”CUDA护城河