collaborators

6 papers

cs.DC2026

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-…

cs.AR2026

AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian +3

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial plat…

cs.AR2026

CVA6-CFI: A First Glance at RISC-V Control-Flow Integrity Extensions

Simone Manoni, Emanuele Parisi, Riccardo Tedeschi +3

This work presents the first design, integration, and evaluation of the standard RISC-V extensions for Control-Flow Integrity (CFI). The Zicfiss and Zicfilp extensions aim at prote…

cs.DC2025

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…

cs.AR2025

SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions

Simone Manoni, Paul Scheffler, Luca Zanatta +3

Spiking Neural Network (SNN) inference has a clear potential for high energy efficiency as computation is triggered by events. However, the inherent sparsity of events poses challe…

cs.AR2025

Efficient Trace for RISC-V: Design, Evaluation, and Integration in CVA6

Umberto Laghi, Simone Manoni, Emanuele Parisi +1

In this work, we present the design and evaluation of a Processor Tracing System compliant with the RISC-V Efficient Trace specification for Instruction Branch Tracing. We integrat…