NRE.pdf

Khazraee_ASIC_Cloud_NRE_ASPLOS_2017_final.pdf
Preview of NRE
🔗 Source: bsg.ai
📊 Size: 557 KB
📄 Pages: 16 pages
⬇️ Downloads: 77

Summary

Researchers from UC San Diego propose a method to optimize Non-Recurring Engineering (NRE) costs in Application-Specific Integrated Circuit (ASIC) clouds, which can reduce the Total Cost of Ownership (TCO) of datacenter computations. They explore NRE and cross-technology optimization of ASIC clouds for applications like Bitcoin mining, video transcoding, and Deep Learning, and show that using older technology nodes like 65nm can enable a greater diversity of ASIC clouds, leading to large reductions in NRE costs.

Description

Researchers from UC San Diego propose a method to optimize Non-Recurring Engineering (NRE) costs in Application-Specific Integrated Circuit (ASIC) clouds,...

Technical Information

  • File Format: PDF
  • File Size: 557 KB
  • Pages: 16
  • Language: EN
  • Total Downloads: 77
  • Last Updated: 4 hours ago

Document Overview

This PDF document about NRE provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into NRE.

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