A programming model and runtime system for approximation-aware heterogeneous computing. - Ioannis Parnassos; Nikolaos Bellas; Nikolaos Katsaros; Nikolaos Patsiatzis; Athanasios Gkaras; Konstantinos Kanellis; Christos D. Antonopoulos; Michalis Spyrou; Manolis Maroudas (FPL, 2017)

Too Many Knobs to Tune? Towards Faster Database Tuning by Pre-selecting Important Knobs. - Konstantinos Kanellis; Ramnatthan Alagappan; Shivaram Venkataraman (HotStorage, 2020)

LlamaTune: Sample-Efficient DBMS Configuration Tuning. - Konstantinos Kanellis; Cong Ding 002; Brian Kroth; Andreas Müller 024; Carlo Curino; Shivaram Venkataraman (Proc. VLDB Endow., 2022)

F2: Designing a Key-Value Store for Large Skewed Workloads. - Konstantinos Kanellis; Badrish Chandramouli; Shivaram Venkataraman (CoRR, 2023)

Nautilus: A Benchmarking Platform for DBMS Knob Tuning. - Konstantinos Kanellis; Johannes Freischuetz; Shivaram Venkataraman (DEEM@SIGMOD, 2024)

TUNA: Tuning Unstable and Noisy Cloud Applications. - Johannes Freischuetz; Konstantinos Kanellis; Brian Kroth; Shivaram Venkataraman (EuroSys, 2025)

From Good to Great: Improving Memory Tiering Performance Through Parameter Tuning. - Konstantinos Kanellis; Sujay Yadalam; Fanchao Chen; Michael Swift; Shivaram Venkataraman (CoRR, 2025)

ARMS: Adaptive and Robust Memory Tiering System. - Sujay Yadalam; Konstantinos Kanellis; Michael Swift; Shivaram Venkataraman (CoRR, 2025)