Danella Zhao, Old Dominion University___________
Sudeep Pasricha, Colorado State University
Machine Learning and Networks on Chip
Davide Bertozzi, University of Ferrara
Sujay Deb, Indraprastha Institute of Information Technology, Delhi (IIIT-D)
Masoumeh (Azin) Ebrahimi, KTH Royal Institute of Technology
Prabhat Mishra, University of Florida
With the advancement in both computing architectures and process technology, many-core architectures can have thousands of cores into a single chip. This integration opens up a plethora of challenges, e.g., in terms of specialization and energy-focused implementations, and supports the spread of various applications and computational paradigms, ranging from multiprocessing to reconfigurable computing, from quantum computing to the emerging area of neuromorphic computing. Such a wild increase in the number of processing elements (PE) per chip, together with the growing architectural and workload heterogeneity, calls for efficient, versatile, scalable, and reliable communication infrastructures. The Network-on-Chip (NoC) design paradigm, based on a modular packet-switched mechanism, can address many of the on-chip communication issues such as performance limitations of long interconnects, the integration of a large number of PEs on a chip, or heterogeneous workloads. Novel techniques and architectures are needed to efficiently design and optimize the NoC and evaluate it at the network or system level.
The goal of NoCArc is to provide a forum for researchers to present and discuss innovative ideas and solutions related to the design and implementation of multi-core systems-on-chip. The workshop will focus on issues related to the design, analysis, testing, and application of on-chip networks.
Abstract submission deadline:
August 20, 2021
August 27, 2021 (extended)
September 3, 2021 (extended)
Paper submission deadline:
August 27, 2021 September 3, 2021 (extended)
September 17, 2021
October 4, 2021
Camera-ready version due:
September 24 , 2021
October 11, 2021
October 22, 2021
The accepted conference papers will be invited for an extended journal version, to be published in a special issue TBD.