ZLUDA Now Implements Some NVIDIA cuFFT APIs With hipFFT
ZLUDA Now Implements Some NVIDIA cuFFT APIs With hipFFT Written by Michael Larabel in Free Software on 22 September 2026 at 06:03 AM EDT. Add A Comment ZLUDA as the open-source project working on CUDA for non-NVIDIA GPUs like AMD Radeon graphics cards now has implemented support for some of NVIDIA's core cuFFT APIs. Some of the core cuFFT APIs are now implemented by ZLUDA for this NVIDIA GPU-accelerated Fast Fourier Transform library.
- ▪ZLUDA Now Implements Some NVIDIA cuFFT APIs With hipFFT Written by Michael Larabel in Free Software on 22 September 2026 at 06:03 AM EDT.
- ▪Add A Comment ZLUDA as the open-source project working on CUDA for non-NVIDIA GPUs like AMD Radeon graphics cards now has implemented support for some of NVIDIA's core cuFFT APIs.
- ▪Some of the core cuFFT APIs are now implemented by ZLUDA for this NVIDIA GPU-accelerated Fast Fourier Transform library.
Phoronix files mainly under tech. We currently carry 431 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Phoronix |
| Canonical URL | https://www.phoronix.com/news/ZLUDA-cuFFT-APIs-hipFFT |
| Publication time | Tue, 22 Sep 2026 06:03:38 -0400 |
| Retrieval time | 2026-09-22T10:18:50.884Z |
| Last seen | 2026-09-22T10:18:50.884Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | zGDMh1BGLIVx · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ZLUDA Now Implements Some NVIDIA cuFFT APIs With hipFFT Written by Michael Larabel in Free Software on 22 September 2026 at 06:03 AM EDT. Add A Comment ZLUDA as the open-source project working on CUDA for non-NVIDIA GPUs like AMD Radeon graphics cards now has implemented support for some of NVIDIA's core cuFFT APIs. Some of the core cuFFT APIs are now implemented by ZLUDA for this NVIDIA GPU-accelerated Fast Fourier Transform library. Open-source developer "AmosKito1" worked on the core cuFFT APIs where there is a direct equivalent in hipFFT, AMD's alternative FFT library as part of their ROCm/HIP ecosystem. Per the pull request, this dynamic translation from NVIDIA cuFFT to AMD hipFFT was enough to get the stock Folding@Home Core24 and Core27 cores for CUDA working on AMD hardware.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Phoronix.