Sovereign Computing on Apple Silicon: Benchmarking Metal GPU Compute vs NVIDIA CUDA for HPC Workloads
Evaluates Apple Silicon (M4 Ultra) as a sovereign alternative to NVIDIA CUDA for GPU-accelerated HPC. Through analysis of the OpenFPM Metal pipeline and projected benchmarks across N-body, SPH, FFT, and sparse matrix workloads, finds Apple Silicon excels in memory-bound simulations exceeding 48GB but achieves 20-50% of equivalent CUDA performance for compute-bound workloads.
Authors
- Yahya Saqban
Institutions
- Tula University (RU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-24
- DOI
- https://doi.org/10.5281/zenodo.21536998
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00