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L. Benini

220 papers hereh-index 10858.4k citations1.6k works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author83
  • last author135

Across the 218 of 220 papers where every author was matched, so the position is known.

fields
  • cs.AR66
  • cs.LG30
  • eess.SP29
  • cs.DC24
  • cs.CV21
  • cs.NI10
same name
  • L. Benini — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedThe Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology

428 citations · 4.5k across the 191 of their papers we have counts for

collaborators
Showing 2019 · cs.ARShow all

3 papers · 2 filters

cs.AR2019

Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores

Fabian Schuiki, Florian Zaruba, Torsten Hoefler +1

Single-issue processor cores are very energy efficient but suffer from the von Neumann bottleneck, in that they must explicitly fetch and issue the loads/storse necessary to feed t…

cs.AR2019★ 7 cited

Ara: A 1 GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multi-Precision Floating Point Support in 22 nm FD-SOI

Matheus Cavalcante, Fabian Schuiki, Florian Zaruba +2

In this paper, we present Ara, a 64-bit vector processor based on the version 0.5 draft of RISC-V's vector extension, implemented in GlobalFoundries 22FDX FD-SOI technology. Ara's…

cs.AR2019★ 428 cited

The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology

Florian Zaruba, Luca Benini

The open-source RISC-V ISA is gaining traction, both in industry and academia. The ISA is designed to scale from micro-controllers to server-class processors. Furthermore, openness…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.