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ORCIDAakash Sharma
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2020 – today
- 2024
[c9]Vivek M. Bhasi, Aakash Sharma, Shruti Mohanty, Mahmut Taylan Kandemir, Chita R. Das:
Paldia: Enabling SLO-Compliant and Cost-Effective Serverless Computing on Heterogeneous Hardware. IPDPS 2024: 100-113- [c8]Vivek M. Bhasi
, Aakash Sharma, Rishabh Jain, Jashwant Raj Gunasekaran, Ashutosh Pattnaik, Mahmut Taylan Kandemir, Chita Das:
Towards SLO-Compliant and Cost-Effective Serverless Computing on Emerging GPU Architectures. Middleware 2024: 211-224 - [i3]Aakash Sharma, Vivek M. Bhasi, Sonali Singh, George Kesidis, Mahmut T. Kandemir, Chita R. Das:
GPU Cluster Scheduling for Network-Sensitive Deep Learning. CoRR abs/2401.16492 (2024) - 2023
- [c7]Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das:
Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. ICDCS 2023: 1-12 - [c6]Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard D. Johansen:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues. MMM (1) 2023: 601-612 - 2022
- [j5]Pietro Randine, Aakash Sharma, Gunnar Hartvigsen, Håvard D. Johansen, Eirik Årsand:
Information and communication technology-based interventions for chronic diseases consultation: Scoping review. Int. J. Medical Informatics 163: 104784 (2022) - [c5]Vivek M. Bhasi, Jashwant Raj Gunasekaran, Aakash Sharma, Mahmut Taylan Kandemir, Chita R. Das:
Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms. SoCC 2022: 257-272 - [i2]Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das:
Analysis of Distributed Deep Learning in the Cloud. CoRR abs/2208.14344 (2022) - 2021
- [j4]Aakash Sharma, Thomas Bye Nilsen, Katja Pauline Czerwinska, Daria Onitiu, Lars Brenna, Dag Johansen, Håvard D. Johansen:
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies. Frontiers Big Data 4: 624424 (2021) - [j3]Petar I. Penev, Holly M. McCann, Caeden D. Meade, Claudia Alvarez-Carreño, Aparna Maddala, Chad R. Bernier, Vasanta l Chivukula, Maria Ahmad, Burak Gulen, Aakash Sharma, Loren Dean Williams, Anton S. Petrov:
ProteoVision: web server for advanced visualization of ribosomal proteins. Nucleic Acids Res. 49(Webserver-Issue): 578-588 (2021) - [c4]Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das:
CASH: A Credit Aware Scheduling for Public Cloud Platforms. CCGRID 2021: 227-236 - [c3]Aakash Sharma, Thomas Bye Nilsen, Sivert Johansen, Dag Johansen, Håvard D. Johansen:
Designing a Service for Compliant Sharing of Sensitive Research Data. CRiSIS 2021: 155-161 - 2020
- [i1]Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das:
CASH: A Credit Aware Scheduling for Public Cloud Platforms. CoRR abs/2009.04561 (2020)
2010 – 2019
- 2017
- [c2]Florian Jomrich, Aakash Sharma, Tobias Rückelt, Doreen Böhnstedt, Ralf Steinmetz:
Intelligent Offloading Distribution of High Definition Street Maps for Highly Automated Vehicles. SMARTGREENS/VEHITS (Selected Papers) 2017: 209-228 - [c1]Florian Jomrich, Aakash Sharma, Tobias Rückelt, Daniel Burgstahler, Doreen Böhnstedt:
Dynamic Map Update Protocol for Highly Automated Driving Vehicles. VEHITS 2017: 68-78 - 2016
- [j2]Byron C. Wallace, Joël Kuiper, Aakash Sharma, Mingxi (Brian) Zhu, Iain James Marshall:
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision. J. Mach. Learn. Res. 17: 132:1-132:25 (2016) - 2015
- [j1]Seba Susan, Abhishek Jain, Aakash Sharma, Shikhar Verma, Siddhant Jain:
Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision. IET Image Process. 9(11): 951-958 (2015)
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