Submissions due: CLOSED
In recent years, machine learning (ML) has become one of the most important pillars of computing industry, driven by the remarkable advances in the theory and their extensive use in real-world applications. To accomplish the phenomenal success, research and industry communities have exploited acceleration solutions, which deliver orders-of-magnitude greater performance and efficiency by specializing hardware and software for ML. As the importance of ML in the emerging applications increases, the ML accelerators have become the critical component of every modern computing system–from data centers to mobile/IoT devices. The community has not only extensively explored new architectures to improve the performance and efficiency of these accelerators, but also put significant effort on raising usability and programmability by offering programming models, high-level language, compiler, runtime software, and tools. This special issue of IEEE Micro will explore academic and industrial research on all topics, which relate to hardware and software acceleration solutions, specialized for ML. Such topics include, but are not limited to:
Submission guidelines
Please see the Author Information page and the peer review page for more information. Please submit electronically through ScholarOne Manuscripts, selecting this special-issue option.
Questions?
Contact the guest editors at mi5-2019@computer.org (Hadi Esmaeilzadeh and Jongse Park) or the editor-in-chief Lizy John (ljohn@ece.utexas.edu)
