Semih Sahin
Title
Cited by
Cited by
Year
Benchmarking deep learning frameworks: Design considerations, metrics and beyond
L Liu, Y Wu, W Wei, W Cao, S Sahin, Q Zhang
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
172018
A comparative measurement study of deep learning as a service framework
Y Wu, L Liu, C Pu, W Cao, S Sahin, W Wei, Q Zhang
IEEE Transactions on Services Computing, 2019
152019
Evaluation and analysis of in-memory key-value systems
W Cao, S Sahin, L Liu, X Bao
2016 IEEE International Congress on Big Data (BigData Congress), 26-33, 2016
112016
C-Stream: A Co-routine-Based Elastic Stream Processing Engine
S Sahin, B Gedi̇k
ACM Transactions on Parallel Computing (TOPC) 4 (3), 15, 2018
102018
C-Stream: A coroutune-based elastic stream processing engine
S Şahin
bilkent university, 2015
102015
Jvm configuration management and its performance impact for big data applications
S Sahin, W Cao, Q Zhang, L Liu
2016 IEEE International Congress on Big Data (BigData Congress), 410-417, 2016
92016
Experimental characterizations and analysis of deep learning frameworks
Y Wu, W Cao, S Sahin, L Liu
2018 IEEE International Conference on Big Data (Big Data), 372-377, 2018
72018
Efficient shared memory orchestration towards demand driven memory slicing
Q Zhang, L Liu, C Pu, W Cao, S Sahin
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
52018
Memory Disaggregation: Research Problems and Opportunities
L Liu, W Cao, S Sahin, Q Zhang, J Bae, Y Wu
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
22019
Huge Data Analytics with Transparent In-Network Memory Computing (White Paper)
L Liu, J Bae, W Cao, S Sahin, Y Wu, Q Zhang
2020
Huge Data Analytics with Transparent In-Network Memory Computing (Presentation)
L Liu, J Bae, W Cao, S Sahin, Y Wu, Q Zhang
2020
MEMORY OPTIMIZATIONS FOR DISTRIBUTED EXECUTORS IN BIG DATA CLOUDS
S Sahin
Georgia Institute of Technology, 2019
2019
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Articles 1–12