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ORCIDDevashree Tripathy
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2020 – today
- 2024
[i3]Iulian Brumar, Rodrigo Rocha, Alex Bernat, Devashree Tripathy, David Brooks, Gu-Yeon Wei:
Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR. CoRR abs/2402.13513 (2024)- 2023
- [j4]Behzad Boroujerdian
, Ying Jing, Devashree Tripathy, Amit Kumar, Lavanya Subramanian, Luke Yen, Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer, Vijay Janapa Reddi:
FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity. ACM Trans. Embed. Comput. Syst. 22(2): 31:1-31:35 (2023) - [c8]Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi:
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA 2023: 14:1-14:16 - [i2]Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough:
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR abs/2301.10999 (2023) - [i1]Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi:
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR abs/2306.08888 (2023) - 2021
- [b1]Devashree Tripathy:
Improving Performance and Energy Efficiency of GPUs through Locality Analysis. University of California, Riverside, USA, 2021 - [j3]Devashree Tripathy, AmirAli Abdolrashidi, Laxmi Narayan Bhuyan, Liang Zhou, Daniel Wong:
PAVER: Locality Graph-Based Thread Block Scheduling for GPUs. ACM Trans. Archit. Code Optim. 18(3): 32:1-32:26 (2021) - [c7]Hadi Zamani, Devashree Tripathy, Ali Jahanshahi, Daniel Wong:
ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU. NAS 2021: 1-8 - [c6]Devashree Tripathy, AmirAli Abdolrashidi, Quan Fan, Daniel Wong, Manoranjan Satpathy:
LocalityGuru: A PTX Analyzer for Extracting Thread Block-level Locality in GPGPUs. NAS 2021: 1-8 - 2020
- [c5]Devashree Tripathy, Hadi Zamani, Debiprasanna Sahoo, Laxmi N. Bhuyan, Manoranjan Satpathy:
Slumber: static-power management for GPGPU register files. ISLPED 2020: 109-114 - [c4]Hadi Zamani, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen:
SAOU: safe adaptive overclocking and undervolting for energy-efficient GPU computing. ISLPED 2020: 205-210
2010 – 2019
- 2019
- [c3]Hadi Zamani, Yuanlai Liu, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen:
GreenMM: energy efficient GPU matrix multiplication through undervolting. ICS 2019: 308-318 - 2017
- [c2]AmirAli Abdolrashidi, Devashree Tripathy, Mehmet Esat Belviranli, Laxmi Narayan Bhuyan, Daniel Wong:
Wireframe: supporting data-dependent parallelism through dependency graph execution in GPUs. MICRO 2017: 600-611 - 2016
- [j2]Deepak Kumar Patel, Devashree Tripathy, Chitaranjan Tripathy:
An improved load-balancing mechanism based on deadline failure recovery on GridSim. Eng. Comput. 32(2): 173-188 (2016) - [j1]Deepak Kumar Patel, Devashree Tripathy, Chita Ranjan Tripathy:
Survey of load balancing techniques for Grid. J. Netw. Comput. Appl. 65: 103-119 (2016) - 2014
- [c1]Devashree Tripathy, Jagdish Lal Raheja:
Design and Implementation of Brain Computer Interface Based Robot Motion Control. FICTA (2) 2014: 289-296
Coauthor Index
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