Design and Implementation of Brain Computer Interface Based Robot Motion Control. - Devashree Tripathy; Jagdish Lal Raheja (FICTA (2), 2014)

An improved load-balancing mechanism based on deadline failure recovery on GridSim. - Deepak Kumar Patel; Devashree Tripathy; Chitaranjan Tripathy (Eng. Comput., 2016)

Survey of load balancing techniques for Grid. - Deepak Kumar Patel; Devashree Tripathy; Chita Ranjan Tripathy (J. Netw. Comput. Appl., 2016)

Wireframe: supporting data-dependent parallelism through dependency graph execution in GPUs. - AmirAli Abdolrashidi; Devashree Tripathy; Mehmet Esat Belviranli; Laxmi Narayan Bhuyan; Daniel Wong 001 (MICRO, 2017)

GreenMM: energy efficient GPU matrix multiplication through undervolting. - Hadi Zamani 001; Yuanlai Liu; Devashree Tripathy; Laxmi N. Bhuyan; Zizhong Chen (ICS, 2019)

Slumber: static-power management for GPGPU register files. - Devashree Tripathy; Hadi Zamani 001; Debiprasanna Sahoo; Laxmi N. Bhuyan; Manoranjan Satpathy (ISLPED, 2020)

SAOU: safe adaptive overclocking and undervolting for energy-efficient GPU computing. - Hadi Zamani 001; Devashree Tripathy; Laxmi N. Bhuyan; Zizhong Chen (ISLPED, 2020)

ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU. - Hadi Zamani 001; Devashree Tripathy; Ali Jahanshahi; Daniel Wong 001 (NAS, 2021)

LocalityGuru: A PTX Analyzer for Extracting Thread Block-level Locality in GPGPUs. - Devashree Tripathy; AmirAli Abdolrashidi; Quan Fan; Daniel Wong 001; Manoranjan Satpathy (NAS, 2021)

PAVER: Locality Graph-Based Thread Block Scheduling for GPUs. - Devashree Tripathy; AmirAli Abdolrashidi; Laxmi Narayan Bhuyan; Liang Zhou 006; Daniel Wong 001 (ACM Trans. Archit. Code Optim., 2021)

Improving Performance and Energy Efficiency of GPUs through Locality Analysis. - Devashree Tripathy (2021)

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. - Srivatsan Krishnan; Amir Yazdanbakhsh; Shvetank Prakash; Jason Jabbour; Ikechukwu Uchendu; Susobhan Ghosh; Behzad Boroujerdian; Daniel Richins; Devashree Tripathy; Aleksandra Faust; Vijay Janapa Reddi (ISCA, 2023)

PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. - Yuji Chai; Devashree Tripathy; Chuteng Zhou; Dibakar Gope; Igor Fedorov; Ramon Matas Navarro; David Brooks 001; Gu-Yeon Wei; Paul N. Whatmough (CoRR, 2023)

FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity. - Behzad Boroujerdian; Ying Jing; Devashree Tripathy; Amit Kumar; Lavanya Subramanian; Luke Yen; Vincent Lee; Vivek Venkatesan; Amit Jindal; Robert Shearer; Vijay Janapa Reddi (ACM Trans. Embed. Comput. Syst., 2023)

Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR. - Iulian Brumar; Rodrigo Rocha; Alex Bernat; Devashree Tripathy; David Brooks 001; Gu-Yeon Wei (CoRR, 2024)