Publications

10 results for Tatsuhiro Chiba

Fine-grained scaling for LLM inference on Red Hat OpenShift: The promise of DRA
- - Sunyanan Choochotkaew
  - Tatsuhiro Chiba
- 2026
- Red Hat Summit 2026
Talk
Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving
- - Takeshi Yoshimura
  - Valentijn van de Beek
  - et al.
- 2026
- EuroMLSys 2026
Workshop
Fit-to-Serve: How a New DRA Capability for Dynamic Device Sharing Fits into Distributed LLM Serving
- - Sunyanan Choochotkaew
  - Tatsuhiro Chiba
- 2025
- Cloud Native + Kubernetes AI Day 2025
Talk
Predicting LLM Inference Latency: A Roofline-Driven ML Method
- - Saki Imai
  - Rina Nakazawa
  - et al.
- 2024
- NeurIPS 2024
Workshop paper
Best-Effort Power Model Serving for Energy Quantification of Cloud Instances
- - Sunyanan Choochotkaew
  - Tatsuhiro Chiba
  - et al.
- 2024
- MASCOTS 2024
Workshop paper
Resource As You Wish: Collaborative Reservation and Allocation by Scheduler Plugin and Device Plugin
- - Takuya Mishina
  - Tatsuhiro Chiba
- 2024
- KubeDay Japan 2024
Talk
Process-based Efficient Power Level Exporter
- - Marcelo Amaral
  - Huamin Chen
  - et al.
- 2024
- CLOUD 2024
Conference paper
Kepler: Project Update and Deep Dive
- - Marcelo Amaral
  - Tatsuhiro Chiba
- 2023
- Kubecon + CloudNativeCon NA 2023
Talk
Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training
- - Sunyanan Choochotkaew
  - Chen Wang
  - et al.
- 2023
- MASCOTS 2023
Workshop paper
Migrating Genome Analysis Pipeline to Cloud: GATK Optimization with Cloud Object Storage
- - Tatsuhiro Chiba
  - Takeshi Yoshimura
- 2020
- MASCOTS 2020
Conference paper