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Sunil Shukla

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Graphic Era (Deemed to be) University, Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalioras of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-9268-4096
OpenAlex ID
A5012408072as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 10
9.1 A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling, A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference, A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling, A hybrid wavelet–APSO–ANN-based protection scheme for six-phase transmission line with real-time validation, Approximate computing: Challenges and opportunities, A Scalable Multi-TeraOPS Core for AI Training and Inference, A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference, Efficient AI System Design With Cross-Layer Approximate Computing +2 more
← Authored by 10
9.1 A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling, A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference, A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling, A hybrid wavelet–APSO–ANN-based protection scheme for six-phase transmission line with real-time validation, Approximate computing: Challenges and opportunities, A Scalable Multi-TeraOPS Core for AI Training and Inference, A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference, Efficient AI System Design With Cross-Layer Approximate Computing +2 more
Affiliated with 4
IBM, Indian Institute of Technology Roorkee, IBM Thomas J. Watson Research Center, National Institute of Technology Raipur
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Summary

Sunil Shukla is a human[1].

Related Entities

IBM

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). Sunil Shukla. Retrieved October 25, 2026, from https://4ort.xyz/entity/sunil-shukla
MLA “Sunil Shukla.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/sunil-shukla.
BibTeX @misc{4ortxyz_sunil-shukla_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sunil Shukla}}, year = {2026}, url = {https://4ort.xyz/entity/sunil-shukla}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sunil Shukla — https://4ort.xyz/entity/sunil-shukla (retrieved 2026-10-25)

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