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Neuromorphic computing, inspired by biological neural systems, holds immense promise for ultra-low-power and real-time inference applications. However, limited access to flexible, open-source platforms continues to hinder widespread…

Hardware Architecture · Computer Science 2025-12-12 Pracheta Harlikar , Abdel-Hameed A. Badawy , Prasanna Date

In this work, we propose an architecture and methodology to design hardware/software systems for high-performance embedded computing on FPGA. The hardware side is based on a many-core architecture whose design is generated automatically…

Hardware Architecture · Computer Science 2015-08-28 Mário P. Véstias , Rui Policarpo Duarte , Horácio C. Neto

We ported the firmware of the ARTIQ experiment control infrastructure to an embedded system based on a commercial Xilinx Zynq-7000 system-on-chip. It contains high-performance hardwired CPU cores integrated with FPGA fabric. As with…

Instrumentation and Detectors · Physics 2021-12-01 Chun Kit Lam , Stephan Maka , David Nadlinger , Chris Ballance , Sébastien Bourdeauducq

In this work, we propose a configurable many-core overlay for high-performance embedded computing. The size of internal memory, supported operations and number of ports can be configured independently for each core of the overlay. The…

Hardware Architecture · Computer Science 2014-08-25 Mário Véstias , Horácio Neto

As processors increase in complexity, costs grow even more rapidly, both for functional verification and performance validation. Most often, silicon characterizations comprise simple performance counters, which are aggregated and separated…

Hardware Architecture · Computer Science 2025-09-26 Daniel Ruelas-Petrisko , Farzam Gilani , Anoop Mysore Nataraja , Zoe Taylor , Michael Taylor

We present a hardware-accelerated SAT solver suitable for processor/Field Programmable Gate Arrays (FPGA) hybrid platforms, which have become the norm in the embedded domain. Our solution addresses a known bottleneck in SAT solving…

Hardware Architecture · Computer Science 2023-12-19 Hariprasadh Godindasamy , Babak Esfandiari , Paulo Garcia

Unlike traditional PCIe-based FPGA accelerators, heterogeneous SoC-FPGA devices provide tighter integrations between software running on CPUs and hardware accelerators. Modern heterogeneous SoC-FPGA platforms support multiple I/O cache…

Hardware Architecture · Computer Science 2019-08-06 Seung Won Min , Sitao Huang , Mohamed El-Hadedy , Jinjun Xiong , Deming Chen , Wen-mei Hwu

In this paper we describe a single-node, double precision Field Programmable Gate Array (FPGA) implementation of the Conjugate Gradient algorithm in the context of Lattice Quantum Chromodynamics. As a benchmark of our proposal we invert…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-05 Grzegorz Korcyl , Piotr Korcyl

The increase in open-source availability of Large Language Models (LLMs) has enabled users to deploy them on more and more resource-constrained edge devices to reduce reliance on network connections and provide more privacy. However, the…

Hardware Architecture · Computer Science 2024-08-02 Jude Haris , Rappy Saha , Wenhao Hu , José Cano

We present a versatile and highly configurable scanning acoustic platform. This platform, comprising of a high frequency transducer, bespoke positioning system and temperature-regulated sample unit, enables the acoustic probing of materials…

Materials Science · Physics 2010-02-24 N G Parker , P V Nelson , M J W Povey

The RFX-mod2 Nuclear Fusion experiment is an upgrade of RFX-mod, shutdown in 2016. Among the other improvements in the machine structure and diagnostics, a larger number of electromagnetic probes (EMs) is foreseen to provide more…

Heterogeneous devices such as the Multi-Processor System-on-Chip (MPSoC) from Xilinx are extremely valuable in custom instrumentation systems. This contribution presents the joint development of a heterogeneous MPSoC board called DTS-100G…

Ultrasonic phased array technology, while versatile, often requires complex computing resources and numerous amplifier components. We present a Manually Reconfigurable Phased Array that physically controls transducer position and phase,…

Applied Physics · Physics 2025-05-22 Soma Mochizuki , Yoichi Ochiai , Tatsuki Fushimi

Computational complexity and storage requirements are crucial factors influencing the performance and efficiency of convolutional neural networks (CNNs) in resource-constrained environments. This paper presents a high-performance embedded…

This study presents advanced neural network architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTMs), and Deep Belief Networks (DBNs) for enhanced ECG signal…

Hardware Architecture · Computer Science 2023-07-18 Kayode Inadagbo , Baran Arig , Nisanur Alici , Murat Isik

Emerging wireless applications such as 5G cellular, large intelligent surfaces (LIS), and holographic massive MIMO require antenna array processing at mm-wave frequencies with large numbers of independent digital transceivers. This paper…

This paper presents a comprehensive study of the performance of Sezawa surface acoustic wave (SAW) devices in SweGaN QuanFINE ultrathin GaN/SiC platform, reaching frequencies above 14 GHz for the first time. Sezawa mode frequency scaling is…

Applied Physics · Physics 2022-11-22 Imtiaz Ahmed , Udit Rawat , Jr-Tai Chen , Dana Weinstein

Phased arrays of airborne ultrasound transducers are widely utilized as a key technology to achieve mid-air convergence of intense ultrasound, which is applied to a variety of systems, such as contactless tactile presentation,…

Applied Physics · Physics 2023-04-26 Masatake Kitano , Keisuke Hasegawa

In this paper we document a novel laboratory experimental platform for non-contact planar manipulation (positioning) of millimeter-scale objects using acoustic pressure. The manipulated objects are either floating on a water surface or…

Systems and Control · Computer Science 2020-11-13 Josef Matouš , Adam Kollarčík , Martin Gurtner , Tomáš Michálek , Zdeněk Hurák

While embedded FPGAs are attractive platforms for DNN acceleration on edge-devices due to their low latency and high energy efficiency, the scarcity of resources of edge-scale FPGA devices also makes it challenging for DNN deployment. In…

Computer Vision and Pattern Recognition · Computer Science 2019-04-10 Cong Hao , Xiaofan Zhang , Yuhong Li , Sitao Huang , Jinjun Xiong , Kyle Rupnow , Wen-mei Hwu , Deming Chen
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