I am a PhD candidate in the Department of Computer Science & Engineering at the University of California, Riverside. I work with Distinguished Prof. Laxmi Narayan Bhuyan and Prof. Daniel Wong and am a member of SoCal Lab at UCR. My interest lies in Computer Architecture , GPGPU Architecture design, High Performance Computing, Fault-Tolerance systems. I have worked on multiple projects on Data- Dependent Applications on GPGPU, Low power Design of GPGPU Execution units and have achieved notable improvements in terms of Performance gain and Power and Area saving.
I am on the job market for research positions in Industry and Academia. I expect to graduate in Summer 2021. I am interested in positions both in the US and abroad. Please reach out to me if you are hiring!
C5 |
Slumber: Static-Power Management for GPGPU Register Files ISLPED '20
@inproceedings{tripathy2020slumber,
title={Slumber: static-power management for gpgpu register files},
author={Tripathy, Devashree and Zamani, Hadi and Sahoo, Debiprasanna and Bhuyan, Laxmi N and Satpathy, Manoranjan},
booktitle={Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design},
pages={109--114},
year={2020}
}
|
C4 |
SAOU: Safe Adaptive Overclocking and Undervolting for Energy-Efficient GPU Computing ISLPED '20
@inproceedings{zamani2020saou,
title={SAOU: safe adaptive overclocking and undervolting for energy-efficient GPU computing},
author={Zamani, Hadi and Tripathy, Devashree and Bhuyan, Laxmi and Chen, Zizhong},
booktitle={Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design},
pages={205--210},
year={2020}
}
|
C3 |
GreenMM: Energy-Efficient GPU Matrix Multiplication Through Undervolting ICS '19
@inproceedings{DBLP:conf/ics/ZamaniLTBC19,
author = {Hadi Zamani and
Yuanlai Liu and
Devashree Tripathy and
Laxmi N. Bhuyan and
Zizhong Chen},
title = {GreenMM: energy efficient {GPU} matrix
multiplication through undervolting},
booktitle = {Proceedings of the {ACM} International
Conference on Supercomputing,
{ICS} 2019, Phoenix, AZ, USA, June 26-28, 2019},
pages = {308--318},
year = {2019},
crossref = {DBLP:conf/ics/2019},
url = {https://doi.org/10.1145/3330345.3330373},
doi = {10.1145/3330345.3330373},
timestamp = {Wed, 19 Jun 2019 08:40:19 +0200},
biburl = {https://dblp.org/rec/bib/conf/ics/ZamaniLTBC19},
bibsource = {dblp computer science bibliography,
https://dblp.org}
}
|
C2 |
WIREFRAME: Supporting Data-dependent Parallelism through Dependency Graph Execution in GPUs. MICRO '17
@inproceedings{abdolrashidi2017wireframe,
title={Wireframe: supporting data-dependent
parallelism through dependency graph execution
in GPUs},
author={Abdolrashidi, Amir Ali and Tripathy,
Devashree and Belviranli, Mehmet Esat and
Bhuyan, Laxmi Narayan and Wong, Daniel},
booktitle={Proceedings of the 50th Annual
IEEE/ACM International Symposium on
Microarchitecture},
pages={600--611},
year={2017},
organization={ACM}
}
|
C1 |
Design and Implementation of Brain Computer Interface Based Robot Motion Control Springer'14 |
J6 |
PAVER: Locality Graph-based Thread Block Scheduling for GPUs ACM TACO'21@Article{ } |
J5 |
An improved load‑balancing mechanism based on deadline failure recovery on GridSim EC, Springer'16@Article{Patel2016, author="Patel, Deepak Kumar and Tripathy, Devashree and Tripathy, Chitaranjan", title="An improved load-balancing mechanism based on deadline failure recovery on GridSim", journal="Engineering with Computers", year="2016", month="Apr", day="01", volume="32", number="2", pages="173--188", abstract="Grid computing has emerged a new field, distinguished from conventional distributed computing. It focuses on large-scale resource sharing, innovative applications and in some cases, high performance orientation. The Grid serves as a comprehensive and complete system for organizations by which the maximum utilization of resources is achieved. The load balancing is a process which involves the resource management and an effective load distribution among the resources. Therefore, it is considered to be very important in Grid systems. For a Grid, a dynamic, distributed load balancing scheme provides deadline control for tasks. Due to the condition of deadline failure, developing, deploying, and executing long running applications over the grid remains a challenge. So, deadline failure recovery is an essential factor for Grid computing. In this paper, we propose a dynamic distributed load-balancing technique called ``Enhanced GridSim with Load balancing based on Deadline Failure Recovery'' (EGDFR) for computational Grids with heterogeneous resources. The proposed algorithm EGDFR is an improved version of the existing EGDC in which we perform load balancing by providing a scheduling system which includes the mechanism of recovery from deadline failure of the Gridlets. Extensive simulation experiments are conducted to quantify the performance of the proposed load-balancing strategy on the GridSim platform. Experiments have shown that the proposed system can considerably improve Grid performance in terms of total execution time, percentage gain in execution time, average response time, resubmitted time and throughput. The proposed load-balancing technique gives 7 {\%} better performance than EGDC in case of constant number of resources, whereas in case of constant number of Gridlets, it gives 11 {\%} better performance than EGDC.", issn="1435-5663", doi="10.1007/s00366-015-0409-y", url="https://doi.org/10.1007/s00366-015-0409-y" } |
J4 |
Survey of load balancing techniques for Grid JNCS, Elsevier'16@article{PATEL2016103, title = "Survey of load balancing techniques for Grid", journal = "Journal of Network and Computer Applications", volume = "65", number = "", pages = "103 - 119", year = "2016", note = "", issn = "1084-8045", doi = "http://dx.doi.org/10.1016/j.jnca.2016.02.012", url = "http://www.sciencedirect.com/science/article/pii/S1084804516000953", author = "Deepak Kumar Patel and Devashree Tripathy and C.R. Tripathy", keywords = "Grid computing", keywords = "Distributed systems", keywords = "Load balancing" } |
J3 |
Fault Tolerance in Interconnection Network-a Survey Fault IC@article{AL:20407467-201509-201512090023-201512090023-198-214, title ={Fault Tolerance in Interconnection Network-a Survey}, author ={Laxminath Tripathy and Devashree Tripathy and C.R. Tripathy}, keywords ={DFA property; dynamic fault-tolerance; fault model; interconnection network; MIN; static fault tolerance}, journal ={Research Journal of Applied Sciences, Engineering and Technology}, volume ={11}, number ={2}, year ={2015}, month ={Sep}, abstract ={Interconnection networks are used to provide communication between processors and memory modules in a parallel computing environment. In the past years, various interconnection networks have been proposed by many researchers. An interconnection network may suffer from mainly two types of faults: link faults and/or switch fault. Many fault tolerant techniques have also been proposed in the literature. This study makes an extensive survey of various methods of fault tolerance for interconnection networks those are used in large scale parallel processing.}, pages ={198-214}, language ={英文}, ISSN ={2040-7467}, publisher ={Maxwell Science Publishing}, } |
J2 |
The Crossed cube-Mesh: A New Fault-Tolerant Interconnection Network Topology for Parallel Systems Crossed Cube mesh@inproceedings{Das2014TheCC, title={The Crossed cube-Mesh: A New Fault-Tolerant Interconnection Network Topology for Parallel Systems}, author={Bhaskar Jyoti Das and Devashree Tripathy and Bibek Mishra}, year={2014} } |
J1 |
Star-Mobius Cube: A New Interconnection Topology for Large Scale Parallel Processing Star-Mobius Cube@MISC{Pattanayak_star-mobiuscube:, author = {Debasmita Pattanayak and Devashree Tripathy and C. R. Tripathy}, title = {Star-Mobius Cube: A New Interconnection Topology for Large Scale Parallel Processing}, year = {} } |
B1 |
Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG Springer '18
@book{das2018real,
title={Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG},
author={Das, Swagata and Tripathy, Devashree and Raheja, Jagdish Lal},
year={2018},
publisher={Springer}
}
|