Marcel Schaal
IBM (United States)(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, VLSI and Analog Circuit Testing, Ferroelectric and Negative Capacitance Devices, Low-power high-performance VLSI 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
- → Efficient AI System Design With Cross-Layer Approximate Computing(2020)63 cited
- → Efficient fault simulation on many-core processors(2010)60 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
- → DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator(2019)28 cited
- → IBM Blue Gene/Q memory subsystem with speculative execution and transactional memory(2013)13 cited
- → Test Strategies for Reconfigurable Scan Networks(2016)11 cited
- → 14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC(2024)5 cited