Martin Lutz
IBM (United States)(US)IBM Research - Thomas J. Watson Research Center(US)
Publications by Year
Research Areas
Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Ferroelectric and Negative Capacitance Devices, Low-power high-performance VLSI design, Advancements in Semiconductor Devices and Circuit Design
Most-Cited Works
- → 9.1 A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling(2021)102 cited
- → RaPiD: AI Accelerator for Ultra-low Precision Training and Inference(2021)75 cited
- → A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference(2020)39 cited
- → 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(2021)28 cited
- → 14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC(2024)5 cited
- → Power-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC(2024)