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{ "item_title" : "Architecture of Computing Systems - Arcs 2019", "item_author" : [" Martin Schoeberl", "Christian Hochberger", "Sascha Uhrig "], "item_description" : "This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/018/655/3030186555_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Architecture of Computing Systems - Arcs 2019|Martin Schoeberl

Architecture of Computing Systems - Arcs 2019 : 32nd International Conference, Copenhagen, Denmark, May 20-23, 2019, Proceedings

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Overview

This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019.

The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC.

The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

This item is Non-Returnable

Details

  • ISBN-13: 9783030186555
  • ISBN-10: 3030186555
  • Publisher: Springer
  • Publish Date: April 2019
  • Dimensions: 9.21 x 6.14 x 0.74 inches
  • Shipping Weight: 1.1 pounds
  • Page Count: 335

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