To be held in conjunction with the 46th ACM/IEEE ISCA Conference
Full day, June 22, 2019
Phoenix, AZ, USA
“A Survey of Machine Learning Applied to Computer Architecture Design” is now available for download here.
Given the success of AIDArc 2018 and the significantly increased interest in utilizing AI to improve computer architecture in the past year, we are thrilled to organize AIDArc 2019, held in conjunction with ISCA-46.
Recent advancements in machine learning algorithms, fueled by increased data availability and high-performance computing infrastructure, have led to successful applications of machine learning (and AI in general) in numerous disciplines and domains. Although much attention has been drawn in the computer architecture community on accelerating machine learning, limited research has been conducted to utilize the power of AI/ML to help architects design better computer architectures and systems.
The AIDArc Workshop is intended to bring together researchers, scientists and practitioners across academia and industry, to share early discoveries, successful examples, and opinions on opportunities and challenges regarding utilizing AI to assist computer architecture designs. Research along this line may potentially transform the way computers are designed and optimized. It may also lead to interesting “self-evolving architecture”, where AI helps to speed up computers which, in turn, are used to speed up the AI.
Topics of submitted papers include, but not limited to, the exploration of artificial intelligence in assisting the design and optimization of:
– Various components of computer system architecture, e.g., branch predictor, cache, memory, I/O, interconnection networks, etc.
– Various design objectives of computer system architecture, e.g., power/energy, performance, resource, reliability, security, etc.
– Different types of computer architectures and systems, e.g., embedded/mobile/wearable devices, CPUs, GPUs, special-purpose accelerators, datacenters, HPCs, etc.
– Interaction of computer architecture with other layers, e.g., operating systems, compilers, circuit-level designs, etc.
Papers will be reviewed based on originality, novelty, technical strength, presentation quality, correctness and relevance to the workshop scope. Early but novel works on related topics are highly encouraged.
|Submission Opens:||Please see “Submission” page|
|Paper submission due:||
|Notification of acceptance:||
|Camera-ready papers due:||
Lizhong Chen, Oregon State University
David Brooks, Harvard University
Bella Bose, Oregon State University
Paul Gratz, Texas A&M University
Crayton Hughes, Sandia National Laboratories
Daniel Jimenez, Texas A&M University
Ben Lee, Oregon State University
Ahmed Louri, George Washinton University
Abdullah Muzahid, Texas A&M Universit
Jun Yang, University of Pittsburgh
Cliff Young, Google
Yongbin Gu, Oregon State University
Arash Azizimazreah, Oregon State University
For more information on AIDArc 2019, please check other sections of this website or contact the workshop organizer at email@example.com