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20182026
most citedAn Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration

49 citations · 123 across the 21 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.HC2026

SensWear: An Open, Modular, and AI-Ready Wearable Platform

Dariush Salami, Behzad Salami, Huseyin Yigitler

Wearable AI/ML research needs raw, synchronized, and reconfigurable multimodal data, but consumer devices are closed and many research platforms remain tied to one embodiment or se…

cs.AR2026

A Generic Modulo- RNS Multiplier Based on Twit Representation

Saeid Gorgin, Amirhossein Sadr, Behzad Salami +1

Modular multiplication is a fundamental arithmetic primitive in Residue Number Systems (RNS) and is often the dominant source of delay, area, and energy consumption in RNS datapath…

cs.AR2026

REPTILES: Repeated Tiles of Sargantana, a RISC-V multicore based on OpenPiton

Noelia Oliete-Escuín, Arnau Bigas, Narcís Rodas +26

Chip industry continues advancing and expanding modern computing systems, resulting in more complex multi-core processors. Conversely, academic projects face scalability challenges…

cs.AR2026

Verification and Validation (V&V)-in-the-Loop for RISC-V Design: The Holistic Vision of BZL

Sajjad Ahmed, Alexander Kropotov, Roberto Ignacio Genovese +21

The Barcelona Zetascale Lab (BZL) project aims to strengthening Europe's capacity in the design and manufacture of RISC-V based high-performance computing chips. In this context, w…

cs.AR2026

EMiX: Emulating Beyond Single-FPGA Limits

Alexander Kropotov, Miquel Moreto, Behzad Salami

FPGA-level emulation is a key step in pre-silicon chip design validation. However, emulating large-scale multi-core systems increasingly exceed the hardware resource capacity of a…