216 citations · 395 across the 24 of their papers we have counts for
26 papers
Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector Extensions
Gabriele Ceccolini, Federico Ficarelli, Filippo Barbari +2
Computational Fluid Dynamics (CFD) relies heavily on the efficiency of linear solvers based on sparse linear algebra kernels. Widely used frameworks like OpenFOAM exploit paralleli…
Monte Cimone v3: Where RISC-V Stands in High-Performance Computing
Emanuele Venieri, Simone Manoni, Giacomo Madella +4
The Monte Cimone project provides a RISC-V testbed for High-Performacne Computing cluster. This paper presents Monte Cimone v3 (MCv3), the third iteration of the Monte Cimone RISC-…
Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Alessandro Ottaviano, Andrino Meli, Paul Scheffler +5
Managing energy and thermal profiles is critical for many-core HPC processors with hundreds of application-class processing elements (PEs). Advanced model predictive control (MPC)…
Monte Cimone v2: Down the Road of RISC-V High-Performance Computers
Emanuele Venieri, Simone Manoni, Gabriele Ceccolini +6
Many RISC-V (RV) platforms and SoCs have been announced in recent years targeting the HPC sector, but only a few of them are commercially available and engineered to fit the HPC re…
ControlPULPlet: A Flexible Real-time Multi-core RISC-V Controller for 2.5D Systems-in-package
Alessandro Ottaviano, Robert Balas, Tim Fischer +3
The growing complexity of real-time control algorithms with increasing performance demands, along with the shift to 2.5D technology, drive the need for scalable controllers to mana…
Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms
Giovanni Bambini, Alessandro Ottaviano, Christian Conficoni +3
The race towards performance increase and computing power has led to chips with heterogeneous and complex designs, integrating an ever-growing number of cores on the same monolithi…