Fiodar Kazhamiaka

28 papers A* 3A 2Misc 1Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Servers to Sites: Compositional Power Trace Generation of LLM Inference for Infrastructure Planning. CoRR Grant Wilkins, Fiodar Kazhamiaka, Ram Rajagopal
2025	J	`jnl`	Enabling Sustainable Cloud Computing With Low-Carbon Server Design. IEEE Micro Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman
2025	J	`jnl`	Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute. CoRR Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
2025	J	`jnl`	Octopus: Scalable Low-Cost CXL Memory Pooling. CoRR Daniel S. Berger, Yuhong Zhong, Pantea Zardoshti, Shuwei Teng, Fiodar Kazhamiaka, Rodrigo Fonseca
2024	J	`jnl`	Dense Server Design for Immersion Cooling. ACM Trans. Graph. Milin Kodnongbua, Zachary Englhardt, Ricardo Bianchini, Rodrigo Fonseca, Alvin R. Lebeck, Daniel S. Berger, Vikram Iyer, Fiodar Kazhamiaka, Adriana Schulz
2024	A*	`conf`	Designing Cloud Servers for Lower Carbon. ISCA Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman
2023	—	`conf`	Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. ASPLOS (2) Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu
2023	—	`conf`	Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms. HotCarbon Jialun Lyu, Jaylen Wang, Kali Frost, Chaojie Zhang, Celine Irvene, Esha Choukse, Rodrigo Fonseca, Ricardo Bianchini, Fiodar Kazhamiaka, Daniel S. Berger
2022	J	`jnl`	Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
2022	—	`conf`	Beobench: a toolkit for unified access to building simulations for reinforcement learning. e-Energy Arduin Findeis, Fiodar Kazhamiaka, Scott Jeen, Srinivasan Keshav
2022	J	`jnl`	Comparison of Different Approaches for Solar PV and Storage Sizing. IEEE Trans. Sustain. Comput. Fiodar Kazhamiaka, Yashar Ghiassi-Farrokhfal, Srinivasan Keshav, Catherine Rosenberg
2022	Misc	`conf`	Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems. NSDI Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia
2022	J	`jnl`	Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations. Proc. VLDB Endow. Nirvik Baruah, Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia
2021	J	`jnl`	Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
2021	A	`conf`	Challenges and Opportunities for Autonomous Vehicle Query Systems. CIDR Fiodar Kazhamiaka, Matei Zaharia, Peter Bailis
2021	J	`jnl`	Don't Give Up on Large Optimization Problems; POP Them! CoRR Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia
2021	—	`conf`	Sizing Solar Panels and Storage for Multiple Roofs. e-Energy Brad Guanqiao Huang, Fiodar Kazhamiaka, Srinivasan Keshav
2021	A*	`conf`	Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia
2021	J	`jnl`	Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia
2020	A*	`conf`	Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. OSDI Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia
2020	J	`jnl`	Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. CoRR Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia
2019	—	`conf`	Adaptive Battery Control with Neural Networks. e-Energy Fiodar Kazhamiaka, Srinivasan Keshav, Catherine Rosenberg
2019	J	`jnl`	Tractable lithium-ion storage models for optimizing energy systems. Energy Inform. Fiodar Kazhamiaka, Catherine Rosenberg, Srinivasan Keshav
2019	—	`conf`	Using Synthetic Traces for Robust Energy System Sizing. e-Energy Sun Sun, Fiodar Kazhamiaka, Srinivasan Keshav, Catherine Rosenberg
2018	—	`conf`	Robust and Practical Approaches for Solar PV and Storage Sizing. e-Energy Fiodar Kazhamiaka, Yashar Ghiassi-Farrokhfal, Srinivasan Keshav, Catherine Rosenberg
2016	—	`conf`	Energy supply aware power planning for flexible loads. E2DC@e-Energy Florian Niedermeier, Fiodar Kazhamiaka, Hermann de Meer
2016	—	`conf`	Li-ion storage models for energy system optimization: the accuracy-tractability tradeoff. e-Energy Fiodar Kazhamiaka, Catherine Rosenberg, Srinivasan Keshav, Karl-Heinz Pettinger
2016	A	`conf`	Mayflower: Improving Distributed Filesystem Performance Through SDN/Filesystem Co-Design. ICDCS Sajjad Rizvi, Xi Li, Bernard Wong, Fiodar Kazhamiaka, Benjamin Cassell