Samsi, Siddharth

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

Samsi, S., Zhao, D., McDonald, J., Li, B., Michaleas, A., Jones, M., Bergeron, W., Kepner, J., Tiwari, D., & Gadepally, V. (2023) · 2023 IEEE High Performance Extreme Computing Conference (HPEC)

Green IT and SustainabilityParallel Computing and Optimization Techniques

Cited by 225

Neural scaling of deep chemical models

Frey, N. C., Soklaski, R., Axelrod, S., Samsi, S., Gómez-Bombarelli, R., Coley, C. W., & Gadepally, V. (2023) · Nature Machine Intelligence

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 125

AI and ML Accelerator Survey and Trends

Reuther, A., Michaleas, P., Jones, M., Gadepally, V., Samsi, S., & Kepner, J. (2022) · 2022 IEEE High Performance Extreme Computing Conference (HPEC)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 109

Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models

McDonald, J., Li, B., Frey, N., Tiwari, D., Gadepally, V., & Samsi, S. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 62

Neural Scaling of Deep Chemical Models

Frey, N., Soklaski, R., Axelrod, S., Samsi, S., Gomez-Bombarelli, R., Coley, C., & Gadepally, V. (2022) · ChemRxiv

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 20