activity
20172025
most citedHERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA

30 citations · 70 across the 8 of their papers we have counts for

collaborators

11 papers

cs.AR2025

Area Comparison of CHERIoT and PMP in Ibex

Samuel Riedel, Marno van der Maas, John Thomson +2

Memory safety is a critical concern for modern embedded systems, particularly in security-sensitive applications. This paper explores the area impact of adding memory safety extens…

cs.AR2023

PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge

Vikram Jain, Matheus Cavalcante, Nazareno Bruschi +6

Emerging deep neural network (DNN) applications require high-performance multi-core hardware acceleration with large data bursts. Classical network-on-chips (NoCs) use serial packe…

cs.AR2023

A High-performance, Energy-efficient Modular DMA Engine Architecture

Thomas Benz, Michael Rogenmoser, Paul Scheffler +5

Data transfers are essential in today's computing systems as latency and complex memory access patterns are increasingly challenging to manage. Direct memory access engines (DMAEs)…

cs.DC2022★ 1 cited

HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing

Andreas Kurth, Björn Forsberg, Luca Benini

Heterogeneous computers integrate general-purpose host processors with domain-specific accelerators to combine versatility with efficiency and high performance. To realize the full…

cs.DC2021

Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture

Andreas Kurth, Fabian Schuiki, Luca Benini

This document presents implementations of fundamental convolutional neural network (CNN) layers on the Manticore cluster-based many-core architecture and discusses their characteri…

cs.NI2020★ 5 cited

PsPIN: A high-performance low-power architecture for flexible in-network compute

Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu +5

The capacity of offloading data and control tasks to the network is becoming increasingly important, especially if we consider the faster growth of network speed when compared to C…