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WAX: Workshop on Approximate Computing Across the Stack

Proposal for Co-Location with PLDI 2019

Organizing Committee

  • Michael Carbin, MIT
  • Luis Ceze, University of Washington
  • Hadi Esmaeilzadeh, UC San Diego
  • Kathryn McKinley, Google
  • Sasa Misailovic, UIUC
  • Adrian Sampson, Cornell University

Logistics

  • Format: workshop
  • Duration: full day
  • Preferred Day: Sunday
  • Type of submissions: short position papers (no proceedings)
  • Expected attendance: 30--50, drawing from both the PLDI and ISCA audiences at FCRC

Previous Iterations

Topic

WAX is a workshop on approximate computing, a research direction that asks how computer systems can be made better—faster, more efficient, and less complex—by relaxing the requirement that they be exactly correct. Approximation arises from sources as diverse as sensors, machine learning algorithms, and big data applications. Approximate systems raise questions from across the system stack, from circuits to applications. WAX is a venue for discussion, debate, and brainstorming on all of these topics.