"Pak Markthub","System Software Studies for Seamlessly Overcoming GPU Resource Limitations",,,,,,,2018,Sept.
"Pak Markthub","System Software Studies for Seamlessly Overcoming GPU Resource Limitations",,,,,,,2018,Sept.
"Pak Markthub","System Software Studies for Seamlessly Overcoming GPU Resource Limitations",,,,,,,2018,Sept.
"Pak Markthub","System Software Studies for Seamlessly Overcoming GPU Resource Limitations",,,,,,,2018,Sept.
"Pak Markthub,Akihiro Nomura,Satoshi Matsuoka","Reducing Remote GPU Execution’s Overhead with mrCUDA","GPU Technology Conference (GTC)",,,,,,2016,Apr.
"Pak Markthub,Akihiro Nomura,Satoshi Matsuoka","Serving More GPU Jobs in Multi-GPU Batch-Queue Systems using Remote GPU Execution and Migration","情報処理学会 第153回ハイパフォーマンスコンピューティング研究発表会","情報処理学会 研究報告",,"Vol. 2016-HPC-153","No. 27","pp. 1-10",2016,Feb.
"Pak Markthub,Akihiro Nomura,SATOSHI MATSUOKA","Serving more GPU jobs, with low penalty, using remote GPU execution and migration",,"Proceedings - 2016 IEEE International Conference on Cluster Computing (CLUSTER2016)",,,,"pp. 485-488",2016,
"Pak Markthub,Akihiro Nomura,Satoshi Matsuoka","mrCUDA: Low-Overhead Middleware for Transparently Migrating CUDA Execution from Remote to Local GPUs","International Conference for High Performance Computing, Networking, Storage and Analysis (SC15)",,,,,,2015,Nov.
"Pak Markthub,Akihiro Nomura,Satoshi Matsuoka","mrCUDA: Low-Overhead Middleware for Live Migrating Remote GPU Execution to Local GPU Execution","GTC Japan Poster Session",,,,,,2015,Sept.
"Pak Markthub,Akihiro Nomura,Satoshi Matsuoka","mrCUDA: A middleware for migrating rCUDA virtual GPUs to native GPUs","2015年並列／分散／協調処理に関する『別府』サマー・ワークショップ (SWoPP2015)","情報処理学会 研究報告",,"Vol. 2015-HPC-150","No. 6","pp. 1-9",2015,July
"Pak Markthub,Akihiro Nomura,Satoshi Matsuoka","Using rCUDA to Reduce GPU Resource-assignment Fragmentation caused by Job Scheduler","The 15th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT2014)","Proceedings of the 15th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT2014)",,,,,2014,Dec.