Kailash Gopalakrishnan
Researcher / author (OpenAlex)
Facts
1 property
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-8952-0875
- OpenAlex ID
- A5101429456as 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
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 23
4-Bit Quantization of LSTM-Based Speech Recognition Models,
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,
Accurate and Efficient 2-bit Quantized Neural Networks,
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training,
Analytical evaluation of DC capacitor RMS current and voltage ripple in neutral-point clamped inverters,
Approximate computing: Challenges and opportunities
+15 more
← Authored by 23
4-Bit Quantization of LSTM-Based Speech Recognition Models,
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,
Accurate and Efficient 2-bit Quantized Neural Networks,
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training,
Analytical evaluation of DC capacitor RMS current and voltage ripple in neutral-point clamped inverters,
Approximate computing: Challenges and opportunities
+15 more
Affiliated with 3
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Summary
Kailash Gopalakrishnan is a human[1].