Dr Aryabartta Sahu
vidwan id: 128283
Associate Professor, Department of Computer Science and Engineering
Indian Institute of Technology Guwahati
Expertise
- Computer Science Information Systems
Publications
Publications
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Scopus
h-index
9
CrossRef
Citations
103
h-index
7
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Professional Recognition
Gold Medal in Master Degree
Sambalpur UniversityCommunity & Membership
ICISS 2012
Publicity ChairVDAT-2016
Website ChairNVidia HPC workshop, IIT Guwahati
One of the OrganizerXilinx Workshop, Guwahati
One of the OrganizerIntel Xeon Phi HPC workshop, Guwahati
One of the Organizer and SpeakerACM SAC 2104
Session ChairVLSI Design 2019
Session ChairVLSI Design 2021
Publication and Finnace ChairIEEE
ACM
Bio
Multicore (Architecture, Scheduling and Programming), HPC, Cloud Computing, Fog/Edge Computing
Personal Details
- Male
- Associate Professor , Indian Institute of Technology Guwahati
- Indian Institute of Technology Guwahati
Related Profiles
Experts (14089+)
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Organisations (474+)
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Co-Authors (9)
Indian Institute of Management Jammu
Indian Institute of Information Technology, Guwahati
Indian Institute of Technology Delhi
Indian Institute of Technology Guwahati
Indian Institute of Technology, Bhilai
Indian Institute of Technology Guwahati
Indraprastha Institute of Information Technology Delhi (IIIT Delhi)
N/A
Scholarly Work
AI enabled advanced aquaponics ecosystem for the self-reliance of SC community in Central and Lower Assam
Funding Agency: Department of Science and Technology, Govt. of India
Co-PI
26,800,000
2021 - Ongoing
Efficient Execution of User Applications in Mobile Edge Computing Platform
Funding Agency: CRS-TEQIP-III (NPIU)
Co-PI
260,000
2019 - 2020
GPU based acceleration of X-Ray Image Enhancement for Cargo Scanning System
Funding Agency: BARC
PI
3.90Lakhs
2015 - 2016
Optimizing Applications Mapping on 3D Stacked Memory Large Chip-Multiprocessors (LCMP)
Funding Agency: IIT Guwahati
PI
4.8 Lakhs
2010 - 2013
Energy aware online task scheduling on multi-cores and cloud
Energy aware online task scheduling on multi-cores and cloud
Efficient Mapping of Multi-threaded Workloads on to Chip Multiprocessors
Efficient Task Scheduling in Cloud Environment
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