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Building zynq® accelerators with Vivado® high level synthesis

Published: 11 February 2013 Publication History

Abstract

Engineering complex systems inevitably requires a designer to balance many conflicting design requirements including performance, cost, power, and design time. In many cases, FPGAs enable engineers to balance these design requirements in ways not possible with other technologies like ASICs, ASSPs, GPUs or general purpose processors. This tutorial will focus on two of the newest commercial FPGA-related technologies, High Level Synthesis (HLS) and Programmable Logic integrated tightly with high performance embedded processors. In particular, we will present a detailed introduction to Vivado HLS, which is capable of synthesizing optimized FPGA circuits from algorithmic descriptions in C, C++ and SystemC. We will also present an introduction to the architecture of Zynq devices and show how interesting system architectures can be constructed using High Level Synthesis and the programmable logic portion of these devices.

Cited By

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  • (2023)A Survey on Run-time Power Monitors at the EdgeACM Computing Surveys10.1145/359304455:14s(1-33)Online publication date: 18-Apr-2023
  • (2020)Reconfigurable Accelerator Compute Hierarchy: A Case Study using Content-Based Image Retrieval2020 IEEE International Symposium on Workload Characterization (IISWC)10.1109/IISWC50251.2020.00034(276-287)Online publication date: Oct-2020
  • (2020)FPGA as a Service Solutions Development Strategy2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT)10.1109/DESSERT50317.2020.9125017(376-380)Online publication date: May-2020
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    Published In

    cover image ACM Conferences
    FPGA '13: Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
    February 2013
    294 pages
    ISBN:9781450318877
    DOI:10.1145/2435264

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 February 2013

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    Author Tags

    1. FPGA
    2. HLS

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    Overall Acceptance Rate 125 of 627 submissions, 20%

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    Cited By

    View all
    • (2023)A Survey on Run-time Power Monitors at the EdgeACM Computing Surveys10.1145/359304455:14s(1-33)Online publication date: 18-Apr-2023
    • (2020)Reconfigurable Accelerator Compute Hierarchy: A Case Study using Content-Based Image Retrieval2020 IEEE International Symposium on Workload Characterization (IISWC)10.1109/IISWC50251.2020.00034(276-287)Online publication date: Oct-2020
    • (2020)FPGA as a Service Solutions Development Strategy2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT)10.1109/DESSERT50317.2020.9125017(376-380)Online publication date: May-2020
    • (2020)A Survey on Performance Optimization of High-Level Synthesis ToolsJournal of Computer Science and Technology10.1007/s11390-020-9414-835:3(697-720)Online publication date: 29-May-2020
    • (2019)Runtime reconfigurable memory hierarchy in embedded scalable platformsProceedings of the 24th Asia and South Pacific Design Automation Conference10.1145/3287624.3288755(719-726)Online publication date: 21-Jan-2019
    • (2018)NoC-Based support of heterogeneous cache-coherence models for acceleratorsProceedings of the Twelfth IEEE/ACM International Symposium on Networks-on-Chip10.5555/3306619.3306620(1-8)Online publication date: 4-Oct-2018
    • (2018)NoC-Based Support of Heterogeneous Cache-Coherence Models for Accelerators2018 Twelfth IEEE/ACM International Symposium on Networks-on-Chip (NOCS)10.1109/NOCS.2018.8512153(1-8)Online publication date: Oct-2018
    • (2018)Application Acceleration on FPGAs with OmpSs@FPGA2018 International Conference on Field-Programmable Technology (FPT)10.1109/FPT.2018.00021(70-77)Online publication date: Dec-2018
    • (2017)PAAS: A system level simulator for heterogeneous computing architectures2017 27th International Conference on Field Programmable Logic and Applications (FPL)10.23919/FPL.2017.8056775(1-8)Online publication date: Sep-2017
    • (2017)Exploiting Parallelism on GPUs and FPGAs with OmpSsProceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems10.1145/3152821.3152880(1-5)Online publication date: 9-Sep-2017
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