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Vimuth Fernando
Vimuth Fernando
Amazon AWS
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Replica: A wireless manycore for communication-intensive and approximate data
V Fernando, A Franques, S Abadal, S Misailovic, J Torrellas
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
462019
Comparing mutation testing at the levels of source code and compiler intermediate representation
F Hariri, A Shi, V Fernando, S Mahmood, D Marinov
2019 12th IEEE conference on software testing, validation and verification …, 2019
282019
Statistical algorithmic profiling for randomized approximate programs
K Joshi, V Fernando, S Misailovic
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
192019
Widir: A wireless-enabled directory cache coherence protocol
A Franques, A Kokolis, S Abadal, V Fernando, S Misailovic, J Torrellas
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
172021
One protocol to rule them all: Wireless {Network-on-Chip} using deep reinforcement learning
S Jog, Z Liu, A Franques, V Fernando, S Abadal, J Torrellas, H Hassanieh
18th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2021
172021
Verifying safety and accuracy of approximate parallel programs via canonical sequentialization
V Fernando, K Joshi, S Misailovic
Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-29, 2019
132019
Aloe: verifying reliability of approximate programs in the presence of recovery mechanisms
K Joshi, V Fernando, S Misailovic
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
122020
Millimeter wave wireless network on chip using deep reinforcement learning
S Jog, Z Liu, A Franques, V Fernando, H Hassanieh, S Abadal, J Torrellas
Proceedings of the SIGCOMM'20 Poster and Demo Sessions, 70-72, 2020
32020
Diamont: dynamic monitoring of uncertainty for distributed asynchronous programs
V Fernando, K Joshi, J Laurel, S Misailovic
International Journal on Software Tools for Technology Transfer 25 (4), 521-539, 2023
22023
Programming systems for safe and accurate parallel programs in the face of uncertainty
V Fernando
University of Illinois at Urbana-Champaign, 2022
12022
Identifying Optimal Parameters for Approximate Randomized Algorithms
V Fernando, K Joshi, D Marinov, S Misailovic
Workshop on Approximate Computing Across the Stack, 3, 2019
12019
Autotuning multi-tiered applications for performance
V Fernando, S Jayasena
2017 IEEE International Conference on Industrial and Information Systems …, 2017
12017
Enhancing X10 performance by auto-tuning the managed java back-end
V Fernando, M Fernando, T Rusira, S Jayasena
2016 Sixteenth International Conference on Advances in ICT for Emerging …, 2016
2016
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