5^th Workshop on Accelerated Machine Learning (AccML) Accelerated Machine Learning (AccML)

May 25-27 ,Xiamen ,china

Scope & Topics

5th Workshop on Accelerated Machine Learning (AccML) we aim to bring together researchers working in Machine Learning and System Architecture to discuss requirements, opportunities, challenges and next steps in developing novel approaches for machine learning systems...

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Topics of Interest :

• Environmental sustainability
  
• heterogeneous multi/many-core systems
  
• GPUs and FPGAs
  
• languages
  
• primitives
  
• libraries
  
• compilers and frameworks
  
• Novel ML hardware accelerators
  
• associated software
  
• Emerging semiconductor technologies with applications to ML hardware acceleration
  
• ML for the construction
  
• tuning of systems
  
• hardware
  
• software to accelerate training
  
• inference
  
• Computing systems research addressing the privacy
  
• security of ML-dominated systems
  
  

Paper Submission

Format: Maximum of 6 pages including all figures, tables, and references, formatted in accordance with the IEEE Computer Society author guidelines. The LaTeX and Microsoft Word templates can be found at the IEEE Computer Society website.
Review process: The review process will be double blind. Names and affiliations of the authors, and the other description should be anonymized in submission papers.
Submission: Through the EDAS submission system [link].
Publication: All accepted workshop papers will be included in the IEEE PerCom 2023 proceedings and will appear in the IEEE digital library (Xplore).at: https://www.acm.org/publications/proceedings-templateh

Important Dates