Rmlx: R Interface to Apple's MLX Library for GPU-Accelerated Array Operations
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dash2
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Summary
Rmlx is an R package interface to Apple's MLX (Machine Learning eXchange) library that provides GPU-accelerated array operations. It enables R users to leverage Apple Silicon GPUs via Metal or CUDA on Linux systems for high-performance computing tasks. The package implements an S3 class 'mlx' that supports lazy evaluation, shared memory between chips, and automatic differentiation, significantly speeding up operations like matrix solving compared to standard R implementations.
Key quotes
· 4 pulledR interface to Apple's MLX (Machine Learning eXchange) library.
S3 class mlx backed by Apple's MLX library, allowing array operations on Apple Silicon GPUs/CPUs and CUDA-enabled Linux systems through lazy evaluation, shared memory between chips, and automatic differentiation.
system.time(solve(as_mlx(A))) user system elapsed 0.038 0.055 0.101
Fast GPU Operations
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