Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/rima-an-rdma-accelerated-model-parallelized-solution-to-large-scale-matrix-factorization
MLA“Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rima-an-rdma-accelerated-model-parallelized-solution-to-large-scale-matrix-factorization.
BibTeX@misc{4ortxyz_rima-an-rdma-accelerated-model-parallelized-solution-to-large-scale-matrix-factorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization}}, year = {2026}, url = {https://4ort.xyz/entity/rima-an-rdma-accelerated-model-parallelized-solution-to-large-scale-matrix-factorization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization — https://4ort.xyz/entity/rima-an-rdma-accelerated-model-parallelized-solution-to-large-scale-matrix-factorization (retrieved 2026-05-24)
