On reducing delay in mobile data collection based wireless sensor networks. - Arun K. Kumar; Krishna M. Sivalingam; Adithya Kumar (Wirel. Networks, 2013)

Pocolo: Power Optimized Colocation in Power Constrained Environments. - Iyswarya Narayanan; Adithya Kumar; Anand Sivasubramaniam (IISWC, 2020)

The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations. - Adithya Kumar; Iyswarya Narayanan; Timothy Zhu; Anand Sivasubramaniam (WWW, 2020)

Design space for scaling-in general purpose computing within the DDR DRAM hierarchy for map-reduce workloads. - Siddhartha Balakrishna Rai; Anand Sivasubramaniam; Adithya Kumar; Prasanna Venkatesh Rengasamy; Vijaykrishnan Narayanan; Ameen Akel; Sean Eilert (CF, 2021)

To move or not to move?: page migration for irregular applications in over-subscribed GPU memory systems with DynaMap. - Chia-Hao Chang; Adithya Kumar; Anand Sivasubramaniam (SYSTOR, 2021)

Overflowing emerging neural network inference tasks from the GPU to the CPU on heterogeneous servers. - Adithya Kumar; Anand Sivasubramaniam; Timothy Zhu (SYSTOR, 2022)

Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers. - Ji Wei Yoon; Adithya Kumar; Pawan Kumar; Kedar Hippalgaonkar; J. Senthilnath 001; Vijila Chellappan (CoRR, 2023)

SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. - Adithya Kumar; Anand Sivasubramaniam; Timothy Zhu (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers. - Ji Wei Yoon; Adithya Kumar; Pawan Kumar; Kedar Hippalgaonkar; J. Senthilnath 001; Vijila Chellappan (Knowl. Based Syst., 2024)

Revisiting Reliability in Large-Scale Machine Learning Research Clusters. - Apostolos Kokolis; Michael Kuchnik; John Hoffman; Adithya Kumar; Parth Malani; Faye Ma; Zachary DeVito; Shubho Sengupta; Kalyan Saladi; Carole-Jean Wu (HPCA, 2025)