Gianmarco Ottavi

Orcid: 0000-0003-0041-7917

According to our database1, Gianmarco Ottavi authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing.
IEEE J. Solid State Circuits, January, 2024

Culsans: An Efficient Snoop-based Coherency Unit for the CVA6 Open Source RISC-V application processor.
CoRR, 2024

Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-Based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

2023
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023

Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing.
CoRR, 2023

A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Reducing Load-Use Dependency-Induced Performance Penalty in the Open-Source RISC-V CVA6 CPU.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2022

A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

2021
A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode.
Proceedings of the 47th ESSCIRC 2021, 2021

End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
A transprecision floating-point cluster for efficient near-sensor data analytics.
CoRR, 2020

A Mixed-Precision RISC-V Processor for Extreme-Edge DNN Inference.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020


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