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Bhattacharjee, A. ., Chhokra, A. ., Kang, Z. ., Sun, H. ., Gokhale, A. ., & Karsai, G. . (2019). BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services. In IEEE International Con- ference on Cloud Engineering (IC2E),. Prague, Czech Republic: IEEE. http://doi.org/10.1109/ic2e.2019.00-10 (Original work published June 2019)
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Kang, Z. ., Min, Z. ., Zhou, S. ., Barve, Y. ., & Gokhale, A. . (2023). Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. In IEEE International Symposium on Real-time Computing (ISORC) (pp. 107–116). Nashville, TN: IEEE. http://doi.org/10.1109/ISORC58943.2023.00023 (Original work published 2025)
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Barve, Y. ., Shekhar, S. ., Chhokra, A. ., Khare, S. ., Kang, Z. ., Bhattacharjee, A. ., … Gokhale, A. . (2019). FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. In IEEE International Conference on Cloud Engineering (IC2E) . Prague, Czech Republic. (Original work published June 2019)
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