activity
20232026
most citedAra2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV 1.0 Compliant Open-Source Processor

34 citations · 61 across the 23 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.DC2024

A 1024 RV-Cores Shared-L1 Cluster with High Bandwidth Memory Link for Low-Latency 6G-SDR

Yichao Zhang, Marco Bertuletti, Chi Zhang +3

We introduce an open-source architecture for next-generation Radio-Access Network baseband processing: 1024 latency-tolerant 32-bit RISC-V cores share 4 MiB of L1 memory via an ult…

cs.AR2024

Spatzformer: An Efficient Reconfigurable Dual-Core RISC-V V Cluster for Mixed Scalar-Vector Workloads

Matteo Perotti, Michele Raeber, Mattia Sinigaglia +3

Multi-core vector processor architectures excel in handling computationally intensive vectorizable tasks but struggle to achieve optimal resource utilization when facing sequential…

cs.DC2024★ 11 cited

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

Yichao Zhang, Marco Bertuletti, Samuel Riedel +3

Radio Access Networks (RAN) workloads are rapidly scaling up in data processing intensity and throughput as the 5G (and beyond) standards grow in number of antennas and sub-carrier…

cs.AR2024

Enabling Efficient Hybrid Systolic Computation in Shared L1-Memory Manycore Clusters

Sergio Mazzola, Samuel Riedel, Luca Benini

Systolic arrays and shared-L1-memory manycore clusters are commonly used architectural paradigms that offer different trade-offs to accelerate parallel workloads. While the first e…

cs.AR2024

MX: Enhancing RISC-V's Vector ISA for Ultra-Low Overhead, Energy-Efficient Matrix Multiplication

Matteo Perotti, Yichao Zhang, Matheus Cavalcante +2

Dense Matrix Multiplication (MatMul) is arguably one of the most ubiquitous compute-intensive kernels, spanning linear algebra, DSP, graphics, and machine learning applications. Th…