Goiri, Íñigo

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Shahrad, M., Fonseca, R., Goiri, Í., Chaudhry, G., Batum, P., Cooke, J., Laureano, E., Tresness, C., Russinovich, M., & Bianchini, R. (2020) · arXiv

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 391

Splitwise: Efficient Generative LLM Inference Using Phase Splitting

Patel, P., Choukse, E., Zhang, C., Shah, A., Goiri, Í., Maleki, S., & Bianchini, R. (2024) · 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 298

Towards energy-aware scheduling in data centers using machine learning

Berral, J. L., Goiri, Í., Nou, R., Julià, F., Guitart, J., Gavaldà, R., & Torres, J. (2010) · Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 262

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

Stojkovic, J., Zhang, C., Goiri, Í., Torrellas, J., & Choukse, E. (2025) · 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)

Energy Efficiency in ComputingCloud Computing and Resource Management

Cited by 112

Splitwise: Efficient generative LLM inference using phase splitting

Patel, P., Choukse, E., Zhang, C., Shah, A., Goiri, Í., Maleki, S., & Bianchini, R. (2023) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 6