Bryan Donyanavard

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Topics

Embedded Systems

Benchmark Suite

Design Methodologies

Memory Management

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Danny Abraham, Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt
Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems. DATE (2024)
Nikil D. Dutt, Bryan Donyanavard
Lightning Talk: The New Era of Computational Cognitive Intelligence. DAC (2023)
Florian Maurer, Moritz Thoma, Anmol Prakash Surhonne, Bryan Donyanavard, Andreas Herkersdorf
Machine learning in run-time control of multicore processor systems. it Inf. Technol. 65 (4-5) (2023)
Nora Sperling, Alex Bendrick, Dominik Stöhrmann, Rolf Ernst, Bryan Donyanavard, Florian Maurer, Oliver Lenke, Anmol Surhonne, Andreas Herkersdorf, Walaa Amer, Caio Batista de Melo, Ping-Xiang Chen, Quang Anh Hoang, Rachid Karami, Biswadip Maity, Paul Nikolian, Mariam Rakka, Dongjoo Seo, Saehanseul Yi, Minjun Seo, Nikil D. Dutt, Fadi J. Kurdahi
Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems. DATE (2023)
Bryan Donyanavard, Nikil D. Dutt, Biswadip Maity, Parth Malani, Tiago Mück
Tutorial: MARS: A Framework for Runtime Monitoring, Modeling, and Management of Realtime Systems. CODES+ISSS (2023)
Eberle A. Rambo, Bryan Donyanavard, Minjun Seo, Florian Maurer, Thawra Kadeed, Caio Batista de Melo, Biswadip Maity, Anmol Surhonne, Andreas Herkersdorf, Fadi J. Kurdahi, Nikil D. Dutt, Rolf Ernst
The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing. IEEE Trans. Emerg. Top. Comput. 10 (1) (2022)
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. CoRR (2022)
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. CoRR (2022)
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Dongjoo Seo, Biswadip Maity, Ping-Xiang Chen, Dukyoung Yun, Bryan Donyanavard, Nikil D. Dutt
ProSwap: Period-aware Proactive Swapping to Maximize Embedded Application Performance. NAS (2022)
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. ISQED (2022)
Sandra Hernández, José Araujo, Patric Jensfelt, Ioannis Karagiannis, Ananya Muddukrishna, Bryan Donyanavard
Cross-layer Configuration Optimization for Localization on Resource-constrained Devices. IROS (2021)
Biswadip Maity, Saehanseul Yi, Dongjoo Seo, Leming Cheng, Sung-Soo Lim, Jong-Chan Kim, Bryan Donyanavard, Nikil D. Dutt
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Tiago Mück, Bryan Donyanavard, Biswadip Maity, Kasra Moazzemi, Nikil D. Dutt
MARS: Middleware for Adaptive Reflective Computer Systems. CoRR (2021)
Tianyi Zhang, Minjun Seo, Bryan Donyanavard, Nikil D. Dutt, Fadi J. Kurdahi
Predicting Failures in Embedded Systems Using Long Short-Term Inference. IEEE Embed. Syst. Lett. 13 (3) (2021)
Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
SEAMS: Self-Optimizing Runtime Manager for Approximate Memory Hierarchies. ACM Trans. Embed. Comput. Syst. 20 (5) (2021)
Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Biswadip Maity, Caio Batista de Melo, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt
Reflecting on Self-Aware Systems-on-Chip. A Journey of Embedded and Cyber-Physical Systems (2021)
Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt
AXES: Approximation Manager for Emerging Memory Architectures. CoRR (2020)
Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt, Andreas Herkersdorf
Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach. DATE (2020)
Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt
Self-aware Memory Management for Emerging Energy-efficient Architectures. IGSC (Workshops) (2020)
Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt
Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems. COINS (2020)
Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch, Onur Mutlu, Nikil D. Dutt
Intelligent Management of Mobile Systems through Computational Self-Awareness. CoRR (2020)
Eberle A. Rambo, Bryan Donyanavard, Minjun Seo, Florian Maurer, Thawra Kadeed, Caio Batista de Melo, Biswadip Maity, Anmol Surhonne, Andreas Herkersdorf, Fadi J. Kurdahi, Nikil D. Dutt, Rolf Ernst
The Information Processing Factory: Organization, Terminology, and Definitions. CoRR (2019)
Eberle A. Rambo, Thawra Kadeed, Rolf Ernst, Minjun Seo, Fadi J. Kurdahi, Bryan Donyanavard, Caio Batista de Melo, Biswadip Maity, Kasra Moazzemi, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil D. Dutt, Florian Maurer, Nguyen Anh Vu Doan, Anmol Surhonne, Thomas Wild, Andreas Herkersdorf
The information processing factory: a paradigm for life cycle management of dependable systems. CODES+ISSS (2019)
Biswadip Maity, Bryan Donyanavard, Nalini Venkatasubramanian, Nikil D. Dutt
Workload Characterization for Memory Management in Emerging Embedded Platforms. IESS (2019)
Bryan Donyanavard, Tiago Mück, Amir M. Rahmani, Nikil D. Dutt, Armin Sadighi, Florian Maurer, Andreas Herkersdorf
SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management. MICRO (2019)
Tiago Mück, Bryan Donyanavard, Kasra Moazzemi, Amir M. Rahmani, Axel Jantsch, Nikil D. Dutt
Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Amir M. Rahmani, Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Axel Jantsch, Onur Mutlu, Nikil D. Dutt
SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management. ASPLOS (2018)
Armin Sadighi, Bryan Donyanavard, Thawra Kadeed, Kasra Moazzemi, Tiago Mück, Ahmed Nassar, Amir M. Rahmani, Thomas Wild, Nikil D. Dutt, Rolf Ernst, Andreas Herkersdorf, Fadi J. Kurdahi
Design methodologies for enabling self-awareness in autonomous systems. DATE (2018)
Majid Shoushtari, Bryan Donyanavard, Luis Angel D. Bathen, Nikil D. Dutt
ShaVe-ICE: Sharing Distributed Virtualized SPMs in Many-Core Embedded Systems. ACM Trans. Embed. Comput. Syst. 17 (2) (2018)
Bryan Donyanavard, Amir M. Rahmani, Tiago Mück, Kasra Moazemmi, Nikil D. Dutt
Gain scheduled control for nonlinear power management in CMPs. DATE (2018)
Tiago Mück, Bryan Donyanavard, Nikil D. Dutt
PoIiCym: rapid prototyping of resource management policies for HMPs. RSP (2017)
Bryan Donyanavard, Amir Mahdi Hosseini Monazzah, Tiago Mück, Nikil D. Dutt
Exploring fast and slow memories in HMP core types: work-in-progress. CODES+ISSS (2017)
Hossein Tajik, Bryan Donyanavard, Nikil D. Dutt
On Detecting and Using Memory Phases in Multimedia Systems. ESTIMedia (2016)
Bryan Donyanavard, Tiago Mück, Santanu Sarma, Nikil D. Dutt
SPARTA: runtime task allocation for energy efficient heterogeneous many-cores. CODES+ISSS (2016)
Hossein Tajik, Bryan Donyanavard, Nikil D. Dutt, Janmartin Jahn, Jörg Henkel
SPMPool: Runtime SPM Management for Memory-Intensive Applications in Embedded Many-Cores. ACM Trans. Embed. Comput. Syst. 16 (1) (2016)
Aviral Shrivastava, Nikil D. Dutt, Jian Cai, Majid Shoushtari, Bryan Donyanavard, Hossein Tajik
Automatic management of Software Programmable Memories in Many-core Architectures. IET Comput. Digit. Tech. 10 (6) (2016)
Yi-Chu Wang, Bryan Donyanavard, Kwang-Ting (Tim) Cheng
Energy-Aware Real-Time Face Recognition System on Mobile CPU-GPU Platform. ECCV Workshops (1) (2010)