In the rapidly evolving technological landscape, one technology stands out for its versatility and potential to revolutionize various industries: Field-Programmable Gate Arrays (FPGAs). These programmable logic devices offer a flexible and customizable hardware platform that enables engineers and de

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National Food Processing Policy aims to address the significant wastage in food production through value addition and efficient processing. The policy highlights the reasons for food processing, including reducing losses in the supply chain and enhancing quality. It emphasizes creating an enabling e

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OBPMark and OBPMark-ML are computational benchmarks developed by ESA and BSC/UPC for on-board data processing and machine learning in space applications. These benchmarks aim to standardize performance comparison across different processing devices, identify key parameters, and provide recommendatio

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With a background in MSc Applied Physics and 10 years of experience in FPGA development, the focus is on verifying asynchronous and analog aspects of FPGA design for safe, reliable, and robust performance. Limited resources and articles drive the need to collaborate for knowledge sharing and explori

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Spark Streaming, developed at UC Berkeley, extends the capabilities of Apache Spark for large-scale, near-real-time stream processing. With the ability to scale to hundreds of nodes and achieve low latencies, Spark Streaming offers efficient and fault-tolerant stateful stream processing through a si

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Explore the concept of Finite State Machine with Datapath (FSMD) in FPGA design, as discussed in the lecture at George Mason University. Learn about translating sequential algorithms into hardware, using registers and control paths to simulate variables, and realizing systems through RTL design. Dis

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Ethiopia stands out as a leader in raw material production for agro-processing industries, offering opportunities in dairy, juice processing, edible oil processing, poultry, beef production, and tomato processing. With abundant resources, suitable climate conditions, and a growing domestic market, E

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Effective selection of raw materials is crucial for ensuring the quality of processed food products. The quality of raw materials directly impacts the final products, making it important to procure materials that align closely with processing requirements. Quality evaluation, including microbiologic

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This content explores the principles behind FPGA accelerator design, highlighting the extreme pipelining via systolic arrays that enables FPGAs to achieve high speeds despite lower clock frequencies compared to CPUs and GPUs. It delves into the application of Flynn's Taxonomy, performance snapshots

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Exploring the significance of Continuous Integration (CI) in FPGA/SoC projects, this presentation delves into the basics of Gitlab CI, defining CI jobs, the benefits of CI practices, project objectives, and the future plans for supporting over 100 users. The focus is on creating a scalable, VM-based

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Recent advancements in digital computers have paved the way for Digital Signal Processing (DSP). The DSP system involves bandlimiting, A/D conversion, DSP processing, D/A conversion, and smoothing filtering. This system enables the conversion of analog signals to digital, processing using digital co

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This overview discusses buffer management for FPGA-centric dataflow systems, including the use of DDR4 RAM, solid-state storage, FIFO structures, and trigger commands for efficient data processing and storage. It also covers the handling of compressed and uncompressed data volumes, proposed hardware

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The team, including Xin Qian, Chao Zhang, and Brett Viren from BNL, leverages past experience in MicroBooNE to outline a comprehensive work plan for signal processing in ProtoDUNE. Their focus includes managing excess noise, addressing non-functional channels, and evolving signal processing techniqu

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Sampling plays a crucial role in converting continuous-time signals into discrete-time signals for processing. This lecture covers periodic sampling, ideal sampling, Fourier transforms, Nyquist-Shannon sampling, and the processing of band-limited signals. It delves into the relationship between peri

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Explore the diverse applications of combining FPGA with specific ASICs and associative memories in smart systems, error decoding, image processing, advertising displays, and workplace monitoring. Learn about Content Addressable Memory (CAM) utilization, pattern matching techniques, and real-life exa

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Explore the implementation and benefits of Active-Routing for efficient data processing in memory networks. Motivated by the increasing demands for memory in graph processing and deep learning, this approach aims to reduce data movement, energy consumption, and costs associated with processing large

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Introduction to the use of FPGA for hardware acceleration of multithreaded architectures targeting DNA sequence mapping, implementation of FHAST tool, FM-Index string matching algorithm, and evaluation of results.

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Explore the cutting-edge technologies and extensive experience in system development within the Accelerator Control Division at BARC. The workshop covers a range of topics including SoC-FPGA system architecture, GUI development for RF control, EPICS application development, and lessons learned in im

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Rowland NMR Toolkit (RNMRTK) is a comprehensive software platform primarily used for NMR data processing tasks such as running MaxEnt, apodization, DFT processing, linear prediction, and more. It offers a robust set of tools for various processing needs and supports efficient parallel processing. RN

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The ACM International Symposium on FPGAs brought together industry leaders and academia to discuss the rapid growth of FPGA technology in fields like machine learning, circuit design, and computing architectures. With insightful sessions, keynotes, and panels, the symposium highlighted the increased

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Transaction Processing Systems (TPS) are vital components in capturing, storing, and processing data generated from various business transactions. They ensure efficient handling of high volumes of data while maintaining accuracy, security, and privacy. TPS operate through automated data entry, batch

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The content discusses the implementation of the Pedestal Subtraction and Finite Impulse Response (FIR) techniques in FPGA for processing ADC counts from a single channel. It details the update rules for pedestal values during hit detection, considerations for FIR tap values, and the process of new A

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NARA's Innovative Systems Lab at the University of Illinois is exploring FPGA technology for electronic records management. The project aims to address challenges in data storage, retrieval, and integrity for long-term archival. FPGAs offer software-configurable chips with unique capabilities for on

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Broad areas of signal processing activities at the Centre of Excellence in Signal Processing include audio, speech, language, medical image processing, computer vision, wireless communications, and machine learning. The center focuses on addressing various challenges in audio/speech recognition, emo

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Context: Time-to-Digital Converter (TDC) architecture, methodology, and realization for high-throughput time-correlated single-photon counting in microfluidic droplets. Fluorescence Lifetime (FL) measurements offer high system sensitivity and accuracy. TDC specification for FPGA target with temporal

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Explore the world of high-performance embedded computing through images and descriptions detailing key components like terrestrial autonomous vehicles, wireless infrastructure, FPGA-based data exchange, and more. The content dives into fault tolerance, data processing, redundant computing, and hardw

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ALICE ITS UPGRADE system undergoes scrubbing for error correction using various techniques like Xilinx Soft Error Mitigation Core and External Scrubbing Network. The FPGA programming overview includes standard operations, remote updating methods, and FPGA versions timeline. Relevant topics cover dat

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This study explores the efficient processing of relational queries on FPGA hardware using OpenCL, a programming language for heterogeneous computing environments. The evolution of FPGA architectures, optimization methods for OpenCL, and the benefits of kernel vectorization and compute units are disc

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Edge computing brings computing closer to the data source, minimizing communication distances between client and server for reduced latency and bandwidth usage. Distributed in device nodes, edge computing optimizes processing in smart devices instead of centralized cloud environments, enhancing data

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In the February 2020 update, Stefano Russo from LPNHE Paris presented the progress on the time distribution system R&D for the Hyper-Kamiokande experiment. The focus is on implementing a bidirectional data exchange link with a large bandwidth capacity for synchronous, phase-deterministic protocol. T

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Beginning in the mid-2000s, a shift towards multi-processing emerged due to limitations in uniprocessor performance gains. This led to the development of multiprocessors like multicore systems, enabling enhanced performance through parallel processing. The taxonomy of Flynn categories, including SIS

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Erwann Poupard, a Software Ground System Engineer at CNES, Toulouse, France, plays a crucial role in the PEPS data processing architecture. The outline covers PEPS HPSS data storage statistics, current data processing trends, and future plans including PEPS V2 development. Explore PEPS processing ch

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In this document, Aymeric Sauvageon from CEA/DRF/Irfu/DAp presents a detailed overview of the preprocessing steps involved in data processing from L0 to L1. It covers the definition of L0/L1 and coding, utilization of the database for processing, input file specifications from China, packet content

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The research delves into the implementation of overlay architecture for embedded processing, aiming to achieve optimal performance with minimal FPGA resource usage. It discusses motivations for utilizing FPGAs in embedded systems, the challenges of balancing performance and resource utilization, and

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Explore the integration of CPU and FPGA for a highly efficient and flexible video encoder. Learn about the motivation, industry trends, discussions, Xilinx Zynq architecture, design process, H.264 baseline profile, and more to achieve high throughput, low power consumption, and easy upgrading.

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Training dense linear models on FPGA with low-precision data offers increased hardware efficiency while maintaining statistical efficiency. This approach leverages stochastic rounding and multivariate trade-offs to optimize performance in machine learning tasks, particularly using Stochastic Gradien

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Testbenches play a crucial role in FPGA system design using VHDL by allowing for systematic testing of digital circuits. They facilitate the application of stimuli to the Design Under Test (DUT) and verification of expected outputs. This overview covers the basic processes involved in testbench deve

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JetStream is an open-source PCIe streaming library developed for efficient FPGA-to-Host and FPGA-to-FPGA communication. It implements key OSI layers, handles physical and data link layers, and provides mechanisms for chunk transfers and managing outstanding requests. JetStream offers superior perfor

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This project, led by Pradyumna (Prad) Kadambi with mentor Cody Youngbull, aims to develop a robust high-speed underwater communication system using Field Programmable Gate Arrays (FPGA). The project addresses the slow and cumbersome nature of current underwater communication methods, with a focus on

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Delve into the inner mechanisms of Field Programmable Gate Arrays (FPGA) and Complex Programming Logic Devices, examining components such as configurable logic blocks, lookup tables, function generators, multiplexers, and flip-flops. Explore the application of Shannon's Expansion Theorem in circuit

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