collaborators

17 papers

cs.AR2026

Physically-Aware Preemptive Virtual Channels for Deadlock-Free AXI Networks-on-Chip

Lorenzo Leone, Luca Colagrande, Luca Benini

As many-core Systems-on-Chip (SoCs) continue to scale, Networks-on-Chip (NoCs) must sustain increasingly high memory bandwidth while preserving deadlock freedom. In AXI4 systems, p…

cs.AR2026

CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees

Lorenzo Leone, Philip Wiese, Gamze İslamoğlu +4

We present Chimera, a flexible and scalable Microcontroller Unit (MCU) designed to accelerate real-time inference of rapidly evolving transformer-based models at the ultra-low-powe…

cs.AR2026

O-POPE: High-Frequency Pipelined Outer Product based GEMM acceleration with minimal buffering overhead

Danilo Cammarata, Angelo Garofalo, Luca Benini

General matrix multiply (GEMM) dominates both execution time and energy consumption of modern machine learning (ML) workloads, placing increasing pressure on hardware efficiency. W…

cs.AR2026

EPAC: The Last Dance

Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino +36

This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European…

cs.AR2026

HyperCroc: End-to-End Open-Source RISC-V MCU with a Plug-In Interface for Domain-Specific Accelerators

Philippe Sauter, Thomas Benz, Paul Scheffler +1

Domain-Specific architectures with accelerators for machine learning and signal processing require efficient bulk data movement and high-bandwidth access to large datasets. Such ca…

cs.AR2026

Implementing and Optimizing an Open-Source SD-card Host Controller for RISC-V SoCs

Axel Vanoni, Philippe Sauter, Paul Scheffler +4

Recent announcements have shown the viability of end-to-end open-source (OS) Linux-capable RISC-V systems on chip (SoCs). However, practical application and software development pl…