Diesel: DSL for linear algebra and neural net computations on GPUs

Research article (Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018) · cited 45× · AI/ML
Press Enter · cited answer in seconds

Diesel: DSL for linear algebra and neural net computations on GPUs

Summary

Diesel: DSL for linear algebra and neural net computations on GPUs is a scholarly article[1].

Key Facts

  • Diesel: DSL for linear algebra and neural net computations on GPUs's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Diesel: DSL for linear algebra and neural net computations on GPUs. Retrieved May 24, 2026, from https://4ort.xyz/entity/diesel-dsl-for-linear-algebra-and-neural-net-computations-on-gpus
MLA “Diesel: DSL for linear algebra and neural net computations on GPUs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diesel-dsl-for-linear-algebra-and-neural-net-computations-on-gpus.
BibTeX @misc{4ortxyz_diesel-dsl-for-linear-algebra-and-neural-net-computations-on-gpus_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diesel: DSL for linear algebra and neural net computations on GPUs}}, year = {2026}, url = {https://4ort.xyz/entity/diesel-dsl-for-linear-algebra-and-neural-net-computations-on-gpus}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diesel: DSL for linear algebra and neural net computations on GPUs — https://4ort.xyz/entity/diesel-dsl-for-linear-algebra-and-neural-net-computations-on-gpus (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/diesel-dsl-for-linear-algebra-and-neural-net-computations-on-gpus · Last refreshed: