Guangming Tan
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Institute of Computing Technology, Chinese Academy of Sciences, Guangdong Province Women and Children Hospital, University of Chinese Academy of Sciencesas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-6828-6269as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5104072170, A5103010109, A5125117969as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 6
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures,
A performance analysis framework for exploiting GPU microarchitectural capability,
A Variable Batch Size Strategy for Large Scale Distributed DNN Training,
I/O lower bounds for auto-tuning of convolutions in CNNs,
Long-term, in toto live imaging of cardiomyocyte behaviour during mouse ventricle chamber formation at single-cell resolution,
Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning
← Authored by 6
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures,
A performance analysis framework for exploiting GPU microarchitectural capability,
A Variable Batch Size Strategy for Large Scale Distributed DNN Training,
I/O lower bounds for auto-tuning of convolutions in CNNs,
Long-term, in toto live imaging of cardiomyocyte behaviour during mouse ventricle chamber formation at single-cell resolution,
Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning
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Summary
Guangming Tan is a human[1].