Anderson L. Sartor

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 10

Top Topics

Power Management

Domain Independent

Imitation Learning

Top Venues

ACM Trans. Embed. Comput. Syst.

IEEE Comput. Archit. Lett.

IEEE Trans. Computers

Publications

Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems. CoRR (2020)
Anderson L. Sartor, Anish Krishnakumar, Samet E. Arda, Ümit Y. Ogras, Radu Marculescu
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs. IEEE Comput. Archit. Lett. 19 (1) (2020)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. IEEE Trans. Computers 69 (8) (2020)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. CoRR (2020)
Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips. CoRR (2019)
Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. CoRR (2019)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
A simulation framework for domain-specific system-on-chips: work-in-progress. CODES+ISSS (2019)
Anderson L. Sartor, Arthur Francisco Lorenzon, Luigi Carro, Fernanda Lima Kastensmidt, Stephan Wong, Antonio C. S. Beck
Exploiting Idle Hardware to Provide Low Overhead Fault Tolerance for VLIW Processors. ACM J. Emerg. Technol. Comput. Syst. 13 (2) (2016)