by akanksha on Sep 9, 2021 |

Call for Papers:

ACSMD Workshop@MICRO 2021

October 22, 2021 in MICRO 2021, virtual
URL: https://research.fb.com/arch-comp-sys-support-for-multi-model-dnn-workshop/

Abstract or Paper Registration Deadline
September 25, 2021
Final Submission Deadline
September 25, 2021

Half-day virtual workshop at MICRO 2021
Friday, October 22, 2021
10:00 am – 1:00 pm (EDT)

Many platforms, from data centers to edge devices, deploy multiple DNNs to provide high-quality results for diverse applications in the domains of computer vision, speech, language, and so on. In addition, because some applications rely on multi-DNN pipelines performing different tasks, DNN workloads are becoming more diverse and heterogeneous. Supporting inferences of such diverse and heterogeneous DNN workloads with high energy efficiency and low latency is becoming a great challenge since the major approach to achieve inference efficiency is to specialize architecture, compiler, and systems for a small set of target DNN models within the same domain. In addition to such performance and efficiency, multimodel DNN workloads introduce new challenges such as security and privacy. Therefore, this workshop will explore innovations to efficiently and safely support multi-model DNN workloads from each of the three areas: architecture, compiler, and system. We solicit papers in the research fields listed below.

Topics of Interest

  • Heterogeneous hardware architectures to concurrent execution of multiple DNN models
  • Reconfigurable accelerator architectures (CGRA-style, FPGA, etc.) to adapt to different DNN models
  • Compiler runtime for multi-DNN workloads on heterogeneous or reconfigurable hardware architectures
  • End-to-end compilation flow and optimization techniques targeting multi-DNN workloads on heterogeneous or reconfigurable hardware architectures
  • Design automation tools for heterogeneous or reconfigurable hardware architectures targeting multi-DNN workloads
  • Techniques in each of architecture, compiler, and system domains to enhance security and privacy when a platform runs a multi-model DNN workload in multi-tenant style

Author Information

  • Submission site (link)
  • Template: Please use the MICRO 2021 template for submissions
  • Page limit: 4 pages (not including references)

Organizers

  • Tushar Krishna (Georgia Institute of Technology)
  • Liangzhen Lai (Facebook)
  • Yu-Hsin Chen (Facebook)
  • Hyoukjun Kwon (Facebook)

Important Dates

  • Submission deadline: Sep 25, 2021 (AOE)
  • Notification: October 8, 2021 (AOE)
  • Camera-ready: October 14, 2021 (AOE)
  • Workshop date: October 22, 2021 (10:00 am – 1:00 pm EDT)

Program Committee

  • Hsien-Hsin Sean Lee (Facebook)
  • Jangwoo Kim (SNU)
  • Zhiru Zhang (Cornell)
  • Amir Yazdanbakhsh (Google)
  • Minsoo Rhu (KAIST)
  • Jongse Park (KAIST)
  • Hardik Sharma (Google)
  • Jie Wang (AWS)
  • Joel Hestness (Cerebras Systems)
  • Divya Mahajan (Microsoft Research)

For further information, please email Hyoukjun Kwon (hyoukjunkwon@fb.com).