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開始行:
[[MatsuLab. Lecture Note]]
*大規模計算論 High Performance Computing [#g6337a39]
:Date|
Tuesday 10:45 - 12:15 (Period: 3-4) &br;
Friday 10:45 - 12:15 (Period: 3-4)
:Room|
Main building 119A (H119A)
:Contact|
|松岡教授 (Prof. S.Matsuoka) | matsu [at] is.titech.ac.jp |
|TA 長坂 (Y.Nagasaka) | nagasaka.y.aa [at] m.tite...
&color(red,white){メーリングリストに追加しますので、至急T...
**目次 [#j532edb8]
#contents
**休講予定日 Lecture Cancelled [#cb04d351]
11/14 (Tue), 11/17 (Fri)
**授業概要と参考資料 Guidance and References [#ha180204]
-ガイダンス資料/Guidance &ref("hpc2017_guidance.pdf");
**発表スケジュール Schedule [#n9a6672a]
&color(red,white){暫定的な割り当ては以下の通りですが、都...
|CENTER:|CENTER:|CENTER:|CENTER:|LEFT:|c
||Date|Presenter|Slides|Paper|
| 1 | 09/26 | (Guidance) | | |
| 2 | 09/29 | Lecture | &ref(GTC2016_RNN_Performance.pptx...
| 3 | 10/03 | Matsumura | &ref("hpc.pdf"); | &ref("BlockM...
| 4 | 10/10 | Tsuchikawa | &ref("HPC_2.pdf"); | &ref("s-c...
| 5 | 10/13 | Zixuan | &ref("16M58336_ZhouZixuan.pdf"); |...
| 6 | 10/17 | Barton | &ref("C-Brain presentation.pdf"); ...
| 7 | 10/20 | Haoyu | &ref("DGX-1_KNL_presentation.pptx")...
| 8 | 10/24 | Yashima | &ref("HPC_presentation.pdf"); | &...
| 9 | 10/27 %%(2)%% | Yi | &ref("hpc presentation.pdf"); ...
| 10 | 10/31 %%(2)%% | Deshmukh | &ref("HPC presentation ...
| 11 | 11/03 | Sun | &ref("17M38236.pdf"); | &ref("Distri...
| | | Duan | &ref(HPCPresentation.pdf); | &ref(K-means....
| 12 | 11/07 | Erum | &ref("116119.pdf"); | &ref("116124....
| | | Jun | &ref("hpc2017.pdf"); | &ref("kim17b.pdf"); |
| 13 | 11/10 | Chenwu | &ref("20171110_hpc17.pdf"); | &re...
| | | Maurya | &ref("HPC_Presentation_20171110.pdf"); |...
| 14 | 11/21 | Hwang | &ref("TPU_slides.pdf"); | &ref("TP...
| | | Sakurai | &ref("hpc_sakurai.pdf"); | &ref("DCatch...
| 15 | 11/24 | Ky | &ref("Hpc171123_presentation.pdf"); |...
| | | Beaudoin | &ref("CD-DNN-HMMs_Beaudoin.pdf"); | &re...
** 選択済み論文リスト Selected Papers List [#xf8bcff6]
- Scalable Training of Deep Learning Machines by Incremen...
- Scalable Distributed DNN Training Using Commodity GPU C...
- Scalable and Sustainable Deep Learning via Randomized H...
- S-Caffe: Co-designing MPI Runtimes and Caffe for Scalab...
- DLAU: A Scalable Deep Learning Accelerator Unit on FPGA...
- GeePS: scalable deep learning on distributed GPUs with ...
- Deep learning with COTS HPC systems (ICML, 2013)
- Optimizing FPGA-based Accelerator Design for Deep Convo...
- C-Brain: A deep learning accelerator that tames the div...
- DeepX: A Software Accelerator for Low-Power Deep Learni...
- A Parallel Computing Platform for Training Large Scale ...
- Large Scale Distributed Deep Networks (NIPS'12)
- Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal an...
- Efficient and Scalable Multi-Source Streaming Broadcast...
- FireCaffe: near-linear acceleration of deep neural netw...
- Big Data with Cloud Computing : an insight on the compu...
- Project Adam: Building an Efficient and Scalable Deep L...
- Efficient Machine Learning for Big Data: A Review (Jour...
- In-Datacenter Performance Analysis of a Tensor Processi...
- Throughput-Optimized OpenCL-based FPGA Accelerator for ...
- Snowflake: An efficient hardware accelerator for convol...
- Modeling Scalability of Distributed Machine Learning (I...
- Distributed training of deep neural networks: theoretic...
- Evaluation of Deep Learning Frameworks Over Different H...
- Efficient Large Message Broadcast using NCCL and CUDA-A...
- Training large scale deep neural networks on the intel ...
- A Software Technique to Enhance Register Utilization of...
- Megalloc: Fast Distributed Memory Allocator for NVM-bas...
- Mimir: Memory-Efficient and Scalable MapReduce for Larg...
- Data-Intensive Supercomputing in the Cloud: Global Anal...
- A Parallel FastTrack Data Race Detection on Multi-core ...
- Efficient Data Race Detection for Distributed Memory Pa...
- D-Catch: Automatically Detecting Distributed Concurrenc...
- Optimized big data K-means clustering using MapReduce (...
- An efficient K-means clustering algorithm on MapReduce[...
- Accelerating K-Means clustering with parallel implement...
- Breaking the Nonsmooth Barrier: A Scalable Parallel Met...
- SplitNet: Learning to Semantically Split Deep Networks ...
- Traffic Flow Prediction With Big Data: A Deep Learning ...
- Improving the speed of neural networks on CPUs (NIPS, 2...
- Performance Modeling and Scalability Optimization of Di...
- Scalpel: Customizing DNN Pruning to the Underlying Hard...
//**期末レポート Report
//- &color(red,white){期限 Due date: 02/17 (Extended)};
//- Summarize the general topic covering and including AL...
//- It should be 10 pages in [[IEEE conference paper form...
//- Please submit it to TA by email &color(red,white){(NO...
**リンク Links [#tdc564e8]
-[[ACM/IEEE Supercomputing>http://www.supercomp.org]]
-[[IEEE IPDPS>http://www.ipdps.org]]
-[[IEEE HPDC>http://www.hpdc.org/]]
-[[ACM International Conference on Supercomputing (ICS)>h...
-[[ISC>http://www.isc-events.com/]]
-[[IEEE Cluster Computing>http://www.clustercomp.org/]]
-[[IEEE/ACM Grid Computing>http://www.gridcomputing.org/]]
-[[IEEE/ACM CCGrid>http://www.buyya.com/ccgrid/]]
-[[IEEE Big Data>http://cci.drexel.edu/bigdata/bigdata201...
-[[CiteSeer.IST>http://citeseer.ist.psu.edu]]
-[[Google Scholar>http://scholar.google.com]]
-[[Windows Live Academic>http://academic.live.com]]
-[[The ACM Degital Library>http://dl.acm.org/]]
終了行:
[[MatsuLab. Lecture Note]]
*大規模計算論 High Performance Computing [#g6337a39]
:Date|
Tuesday 10:45 - 12:15 (Period: 3-4) &br;
Friday 10:45 - 12:15 (Period: 3-4)
:Room|
Main building 119A (H119A)
:Contact|
|松岡教授 (Prof. S.Matsuoka) | matsu [at] is.titech.ac.jp |
|TA 長坂 (Y.Nagasaka) | nagasaka.y.aa [at] m.tite...
&color(red,white){メーリングリストに追加しますので、至急T...
**目次 [#j532edb8]
#contents
**休講予定日 Lecture Cancelled [#cb04d351]
11/14 (Tue), 11/17 (Fri)
**授業概要と参考資料 Guidance and References [#ha180204]
-ガイダンス資料/Guidance &ref("hpc2017_guidance.pdf");
**発表スケジュール Schedule [#n9a6672a]
&color(red,white){暫定的な割り当ては以下の通りですが、都...
|CENTER:|CENTER:|CENTER:|CENTER:|LEFT:|c
||Date|Presenter|Slides|Paper|
| 1 | 09/26 | (Guidance) | | |
| 2 | 09/29 | Lecture | &ref(GTC2016_RNN_Performance.pptx...
| 3 | 10/03 | Matsumura | &ref("hpc.pdf"); | &ref("BlockM...
| 4 | 10/10 | Tsuchikawa | &ref("HPC_2.pdf"); | &ref("s-c...
| 5 | 10/13 | Zixuan | &ref("16M58336_ZhouZixuan.pdf"); |...
| 6 | 10/17 | Barton | &ref("C-Brain presentation.pdf"); ...
| 7 | 10/20 | Haoyu | &ref("DGX-1_KNL_presentation.pptx")...
| 8 | 10/24 | Yashima | &ref("HPC_presentation.pdf"); | &...
| 9 | 10/27 %%(2)%% | Yi | &ref("hpc presentation.pdf"); ...
| 10 | 10/31 %%(2)%% | Deshmukh | &ref("HPC presentation ...
| 11 | 11/03 | Sun | &ref("17M38236.pdf"); | &ref("Distri...
| | | Duan | &ref(HPCPresentation.pdf); | &ref(K-means....
| 12 | 11/07 | Erum | &ref("116119.pdf"); | &ref("116124....
| | | Jun | &ref("hpc2017.pdf"); | &ref("kim17b.pdf"); |
| 13 | 11/10 | Chenwu | &ref("20171110_hpc17.pdf"); | &re...
| | | Maurya | &ref("HPC_Presentation_20171110.pdf"); |...
| 14 | 11/21 | Hwang | &ref("TPU_slides.pdf"); | &ref("TP...
| | | Sakurai | &ref("hpc_sakurai.pdf"); | &ref("DCatch...
| 15 | 11/24 | Ky | &ref("Hpc171123_presentation.pdf"); |...
| | | Beaudoin | &ref("CD-DNN-HMMs_Beaudoin.pdf"); | &re...
** 選択済み論文リスト Selected Papers List [#xf8bcff6]
- Scalable Training of Deep Learning Machines by Incremen...
- Scalable Distributed DNN Training Using Commodity GPU C...
- Scalable and Sustainable Deep Learning via Randomized H...
- S-Caffe: Co-designing MPI Runtimes and Caffe for Scalab...
- DLAU: A Scalable Deep Learning Accelerator Unit on FPGA...
- GeePS: scalable deep learning on distributed GPUs with ...
- Deep learning with COTS HPC systems (ICML, 2013)
- Optimizing FPGA-based Accelerator Design for Deep Convo...
- C-Brain: A deep learning accelerator that tames the div...
- DeepX: A Software Accelerator for Low-Power Deep Learni...
- A Parallel Computing Platform for Training Large Scale ...
- Large Scale Distributed Deep Networks (NIPS'12)
- Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal an...
- Efficient and Scalable Multi-Source Streaming Broadcast...
- FireCaffe: near-linear acceleration of deep neural netw...
- Big Data with Cloud Computing : an insight on the compu...
- Project Adam: Building an Efficient and Scalable Deep L...
- Efficient Machine Learning for Big Data: A Review (Jour...
- In-Datacenter Performance Analysis of a Tensor Processi...
- Throughput-Optimized OpenCL-based FPGA Accelerator for ...
- Snowflake: An efficient hardware accelerator for convol...
- Modeling Scalability of Distributed Machine Learning (I...
- Distributed training of deep neural networks: theoretic...
- Evaluation of Deep Learning Frameworks Over Different H...
- Efficient Large Message Broadcast using NCCL and CUDA-A...
- Training large scale deep neural networks on the intel ...
- A Software Technique to Enhance Register Utilization of...
- Megalloc: Fast Distributed Memory Allocator for NVM-bas...
- Mimir: Memory-Efficient and Scalable MapReduce for Larg...
- Data-Intensive Supercomputing in the Cloud: Global Anal...
- A Parallel FastTrack Data Race Detection on Multi-core ...
- Efficient Data Race Detection for Distributed Memory Pa...
- D-Catch: Automatically Detecting Distributed Concurrenc...
- Optimized big data K-means clustering using MapReduce (...
- An efficient K-means clustering algorithm on MapReduce[...
- Accelerating K-Means clustering with parallel implement...
- Breaking the Nonsmooth Barrier: A Scalable Parallel Met...
- SplitNet: Learning to Semantically Split Deep Networks ...
- Traffic Flow Prediction With Big Data: A Deep Learning ...
- Improving the speed of neural networks on CPUs (NIPS, 2...
- Performance Modeling and Scalability Optimization of Di...
- Scalpel: Customizing DNN Pruning to the Underlying Hard...
//**期末レポート Report
//- &color(red,white){期限 Due date: 02/17 (Extended)};
//- Summarize the general topic covering and including AL...
//- It should be 10 pages in [[IEEE conference paper form...
//- Please submit it to TA by email &color(red,white){(NO...
**リンク Links [#tdc564e8]
-[[ACM/IEEE Supercomputing>http://www.supercomp.org]]
-[[IEEE IPDPS>http://www.ipdps.org]]
-[[IEEE HPDC>http://www.hpdc.org/]]
-[[ACM International Conference on Supercomputing (ICS)>h...
-[[ISC>http://www.isc-events.com/]]
-[[IEEE Cluster Computing>http://www.clustercomp.org/]]
-[[IEEE/ACM Grid Computing>http://www.gridcomputing.org/]]
-[[IEEE/ACM CCGrid>http://www.buyya.com/ccgrid/]]
-[[IEEE Big Data>http://cci.drexel.edu/bigdata/bigdata201...
-[[CiteSeer.IST>http://citeseer.ist.psu.edu]]
-[[Google Scholar>http://scholar.google.com]]
-[[Windows Live Academic>http://academic.live.com]]
-[[The ACM Degital Library>http://dl.acm.org/]]
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