Home › Entities › academia › FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory

FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory

Research article (Proceedings of the 39th International Conference on Computer-Aided Design, 2020) · cited 22× · AI/ML
academia openalex:W3112412839
Press Enter · cited answer in seconds

FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory

Summary

FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory is a scholarly article[1].

Key Facts

  • FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 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). FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory. Retrieved May 24, 2026, from https://4ort.xyz/entity/fpga-based-low-batch-training-accelerator-for-modern-cnns-featuring-high-bandwidth-memory
MLA “FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fpga-based-low-batch-training-accelerator-for-modern-cnns-featuring-high-bandwidth-memory.
BibTeX @misc{4ortxyz_fpga-based-low-batch-training-accelerator-for-modern-cnns-featuring-high-bandwidth-memory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory}}, year = {2026}, url = {https://4ort.xyz/entity/fpga-based-low-batch-training-accelerator-for-modern-cnns-featuring-high-bandwidth-memory}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory — https://4ort.xyz/entity/fpga-based-low-batch-training-accelerator-for-modern-cnns-featuring-high-bandwidth-memory (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/fpga-based-low-batch-training-accelerator-for-modern-cnns-featuring-high-bandwidth-memory · Last refreshed: