Publications

9 results for Rina Nakazawa

Predicting LLM Inference Latency: A Roofline-Driven ML Method
- - Saki Imai
  - Rina Nakazawa
  - et al.
- 2024
- NeurIPS 2024
Workshop paper
Optimizing GPU Multiplexing for Efficient and Cost-Effective Access to Diverse Large Language Models in GPU Clusters
- - Yue Zhu
  - Chen Wang
  - et al.
- 2024
- MASCOTS 2024
Conference paper
Best-Effort Power Model Serving for Energy Quantification of Cloud Instances
- - Sunyanan Choochotkaew
  - Tatsuhiro Chiba
  - et al.
- 2024
- MASCOTS 2024
Workshop paper
Process-based Efficient Power Level Exporter
- - Marcelo Amaral
  - Huamin Chen
  - et al.
- 2024
- CLOUD 2024
Conference paper
Kepler: A Framework to Calculate the Energy Consumption of Containerized Applications
- - Marcelo Amaral
  - Huamin Chen
  - et al.
- 2023
- CLOUD 2023
Conference paper
ImageJockey: A framework for container performance engineering
- - Takeshi Yoshimura
  - Rina Nakazawa
  - et al.
- 2020
- CLOUD 2020
Conference paper
ConfAdvisor: A performance-centric configuration tuning framework for containers on kubernetes
- - Tatsuhiro Chiba
  - Rina Nakazawa
  - et al.
- 2019
- IC2E 2019
Conference paper
Visualization Tool for Designing Microservices with the Monolith-First Approach
- - Rina Nakazawa
  - Takanori Ueda
  - et al.
- 2018
- VISSOFT 2018
Conference paper
Taming Performance Degradation of Containers in the Case of Extreme Memory Overcommitment
- - Rina Nakazawa
  - Kazunori Ogata
  - et al.
- 2017
- CLOUD 2017
Conference paper