Bruce Fleischer
IBM (United States)(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Low-power high-performance VLSI design, Ferroelectric and Negative Capacitance Devices, Advanced Neural Network Applications, Advanced Memory and Neural Computing
Most-Cited Works
- → Active Memory Cube: A processing-in-memory architecture for exascale systems(2015)182 cited
- → 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
- → A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference(2018)99 cited
- → DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference(2019)77 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
- → A theoretical study of transducer noise in piezoresistive and capacitive silicon pressure sensors(1988)47 cited
- → A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference(2020)39 cited
- → A Scalable Multi-TeraOPS Core for AI Training and Inference(2018)38 cited
- → Static timing analysis for self resetting circuits(1996)31 cited