MatsuLab. Lecture Note
ハイパフォーマンスコンピューティング †
- 日時
- 月曜日 10:45〜12:15(3〜4限)
- 場所
- 西8号館 832号室
- 連絡
松岡教授 (Prof. S.Matsuoka) | matsu あっと is. |
TA 金刺 (H.Kanezashi) | kanezashi あっと matsulab.is. |
メーリングリストに追加しますので、至急TAまでメールを送ってください。Please email to Kanezashi (TA) as soon as possible in order to add you to the mailing list.
目次 †
休講予定日 Lecture Cancelled †
10/19, 11/16
授業概要と参考資料 Guidance and References †
発表スケジュール Schedule †
暫定的な割り当ては以下の通りですが、都合が悪い場合はTAまで希望日をメールしてください。
禁止リスト Inhibited List †
- Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor
- Memory fast-forward: A low cost special function unit to enhance energy efficiency in GPU for big data processing
- Optimized Deep Learning Architectures with Fast Matrix Operation Kernels on Parallel Platform
- Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing
- Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison
- Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms
- Optimizing communication and cooling costs in HPC data centers via intelligent job allocation
- Cost Minimization for Big Data Processing in Geo-Distributed Data Centers
- On Characterization of Performance and Energy Efficiency in Heterogeneous HPC Cloud Data Centers
- DaDianNao?: A Machine-Learning Supercomputer
- Mariana: tencent deep learning platform and its applications
- Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems
リンク Links †