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20222026
most citedTeraPool-SDR: An 1.89TOPS 1024 RV-Cores 4MiB Shared-L1 Cluster for Next-Generation Open-Source Software-Defined Radios

11 citations · 24 across the 18 of their papers we have counts for

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Showing 2025 · cs.ARShow all

6 papers · 2 filters

cs.AR2025

A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment

Bowen Wang, Marco Bertuletti, Yichao Zhang +2

Attention-based models demand flexible hardware to manage diverse kernels with varying arithmetic intensities and memory access patterns. Large clusters with shared L1 memory, a co…

cs.AR2025

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication

Samuel Riedel, Yichao Zhang, Marco Bertuletti +1

Next-generation wireless technologies (for immersive-massive communication, joint communication and sensing) demand highly parallel architectures for massive data processing. A com…

cs.AR2025★ 5 cited

Quadrilatero: A RISC-V programmable matrix coprocessor for low-power edge applications

Danilo Cammarata, Matteo Perotti, Marco Bertuletti +4

The rapid growth of AI-based Internet-of-Things applications increased the demand for high-performance edge processing engines on a low-power budget and tight area constraints. As…

cs.AR2025

MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster

Sergio Mazzola, Yichao Zhang, Marco Bertuletti +2

As computational paradigms evolve, applications such as attention-based models, wireless telecommunications, and computer vision impose increasingly challenging requirements on com…

cs.AR2025

Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing

Mattia Sinigaglia, Amirhossein Kiamarzi, Marco Bertuletti +11

Most Wearable Ultrasound (WUS) devices lack the computational power to process signals at the edge, instead relying on remote offload, which introduces latency, high power consumpt…

cs.AR2025

TCDM Burst Access: Breaking the Bandwidth Barrier in Shared-L1 RVV Clusters Beyond 1000 FPUs

Diyou Shen, Yichao Zhang, Marco Bertuletti +1

As computing demand and memory footprint of deep learning applications accelerate, clusters of cores sharing local (L1) multi-banked memory are widely used as key building blocks i…