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= Research = = Introduction to Our Research Topics (研究紹介) =
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 MassiveThreads: Super Lightweight Thread Library::
 :: A thread library
 that can spawn threads two orders of magnitude faster than native
 operating system threads. Based on this technology, we are working
 on high-level parallel programming languages that target a range of
 machines from multi-core computers to massively parallel processors
 (http://code.google.com/p/massivethreads/).		 == High-Level, High-Performance General-Purpose Programming Frameworks ==
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 ParaLite: Parallel Database::
 :: A parallel database that can easily parallelize workflow
 applications consisting of existing commands, using SQL syntax. We
 are building a large scale data processing system based on ParaLite.		  * [[MassiveThreads|MassiveThreads: Super Lightweight Thread Library]]
 * [[高性能なタスク並列スケジューラ]]
 * [[Research/分散共有メモリ|分散共有メモリ]]
 * [[PerformanceAnalysisTools]]
 * [[MPI+ULT]]
 * [[Research/Lightweight Threading Library and OpenMP Runtime System|Lightweight Threading Library and OpenMP Runtime System]]
 * [[Research/GXP|GXP Parallel Shell/Scripting Tool]]
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 GXP Parallel Shell/Scripting Tool::
 :: A parallel processing tool that enables parallel processing built
 on existing commands, no matter where you are and where your
 resources are (http://www.logos.t.u-tokyo.ac.jp/gxp/).		 == Very High-Level, High-Performance Domain-Specific Programming Frameworks ==
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 * [[http://www.eidos.ic.i.u-tokyo.ac.jp/labdocs/intros/2012/m_intro/taura_lab_2012e.pdf|Introduction to the Laboratory (pdf)]]  * [[大規模な文字列データ向けのアドホックな並列処理系]]
 * [[Research/CFG構文解析|CFG構文解析]]
 * [[ParaLite|ParaLite: Parallel Database]]
 * [[Research/ParallelPattern|並列パターン]]
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= 研究 = == Deep Learning (深層学習) ==
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 MassiveThreads超軽量スレッドライブラリ::
 :: 通常のスレッドよりも二桁高速にスレッドを作れるスレッドライブラリで
 す. それを土台にして, マルチコア計算機から, それらを多数結合した超並列
 機までを,高水準にプログラミングできる言語を作る計画です
 (http://code.google.com/p/massivethreads/).		  * [[Analysis of Large Mini-Batch Training of Neural Networks]]
 * [[Accelerating Neural Networks Having Dynamic Computation Graphs]]
 * [[深層学習フレームワークの性能解析]]
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 ParaLite並列データベース::
 :: SQLが持つ高水準なデータ処理と, 既存のプログラムを容易に統合でき,か
 つそれを並列に実行できる並列データベースです. 大規模データ処理のための
 基盤システムです.		 == Storage and Operating System（ストレージとOS） ==
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 GXP並列シェル・スクリプティング環境::
 :: 既存のプログラムを組み合わせた並列処理を,クラスタ, クラウドなど, 所
 構わずどこでも行えるようにした,並列処理ツールです
 (http://www.logos.t.u-tokyo.ac.jp/gxp/).

 * [[http://www.eidos.ic.i.u-tokyo.ac.jp/labdocs/intros/2012/m_intro/taura_lab_2012.pdf|研究室紹介(pdf)]]

 * [[http://www.eidos.ic.i.u-tokyo.ac.jp/labdocs/intros/2012/b3_intro/b3_intro_poster_2012.pdf|卒論配属説明会ポスター(pdf)]],[[http://www.eidos.ic.i.u-tokyo.ac.jp/labdocs/intros/2012/b3_intro/b3_intro_poster_2012.pptx|(pptx)]],		  * [[次世代SSDによるVMMを用いたメモリ空間の拡張]]

Introduction to Our Research Topics (研究紹介)

High-Level, High-Performance General-Purpose Programming Frameworks

Very High-Level, High-Performance Domain-Specific Programming Frameworks

Deep Learning (深層学習)

Storage and Operating System（ストレージとOS）

Taura Laboratory: Research (last edited 2018-12-19 09:08:14 by sato)