A programmable parallel accelerator for learning and classification. - Srihari Cadambi; Abhinandan Majumdar; Michela Becchi; Srimat T. Chakradhar; Hans Peter Graf (PACT, 2010)

A parallel accelerator for semantic search. - Abhinandan Majumdar; Srihari Cadambi; Srimat T. Chakradhar; Hans Peter Graf (SASP, 2011)

An Energy-Efficient Heterogeneous System for Embedded Learning and Classification. - Abhinandan Majumdar; Srihari Cadambi; Srimat T. Chakradhar (IEEE Embed. Syst. Lett., 2011)

Energy-aware meeting scheduling algorithms for smart buildings. - Abhinandan Majumdar; David H. Albonesi; Pradip Bose (BuildSys@SenSys, 2012)

A Massively Parallel, Energy Efficient Programmable Accelerator for Learning and Classification. - Abhinandan Majumdar; Srihari Cadambi; Michela Becchi; Srimat T. Chakradhar; Hans Peter Graf (ACM Trans. Archit. Code Optim., 2012)

Energy-comfort optimization using discomfort history and probabilistic occupancy prediction. - Abhinandan Majumdar; Jason L. Setter; Justin R. Dobbs; Brandon M. Hencey; David H. Albonesi (IGCC, 2014)

A Taxonomy of GPGPU Performance Scaling. - Abhinandan Majumdar; Gene Y. Wu; Kapil Dev; Joseph L. Greathouse; Indrani Paul; Wei Huang 004; Arjun-Karthik Venugopal; Leonardo Piga; Chip Freitag; Sooraj Puthoor (IISWC, 2015)

Characterizing the Benefits and Limitations of Smart Building Meeting Room Scheduling. - Abhinandan Majumdar; Zhiru Zhang; David H. Albonesi (ICCPS, 2016)

Dynamic GPGPU Power Management Using Adaptive Model Predictive Control. - Abhinandan Majumdar; Leonardo Piga; Indrani Paul; Joseph L. Greathouse; Wei Huang 004; David H. Albonesi (HPCA, 2017)

A Research Retrospective on AMD's Exascale Computing Journey. - Gabriel H. Loh; Michael J. Schulte; Mike Ignatowski; Vignesh Adhinarayanan; Shaizeen Aga; Derrick Aguren; Varun Agrawal; Ashwin M. Aji; Johnathan Alsop; Paul T. Bauman; Bradford M. Beckmann; Majed Valad Beigi; et al. (ISCA, 2023)