peijin94/fastGRFF: Release v0.1.0

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Authors: Peijin Zhang (张沛锦)
Cited by: 0

Abstract

fastGRFF v0.1.0 — First release Initial public release of fastGRFF, a CUDA/C + CuPy RawModule port of GRFF for GPU-accelerated microwave emission. Implements GPU paths for GET_MW and GET_MW_SLICE (double precision supported). Includes Python utilities: single-pixel demo, CPU↔GPU comparison, slice benchmark, and synthetic free–free map generation. Notes/limits: GET_MW_SLICE uses tiling to reduce device heap usage; large runs may require increasing heap_bytes.

Fields of Study & Subjects

Radio Astronomy Observations and Technology Parallel Computing and Optimization Techniques Computational Physics and Python Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026