314 research outputs found

    ΠŸΡ€ΠΎΡ„Π΅ΡΡΠΎΡ€Ρƒ А. М. ΠšΠΎΡ€ΠΈΠΊΠΎΠ²Ρƒ - 70 Π»Π΅Ρ‚

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    1 января 2012 Π³. ΠΎΡ‚ΠΌΠ΅Ρ‚ΠΈΠ» юбилСй Π΄ΠΎΠΊΡ‚ΠΎΡ€ тСхничСских Π½Π°ΡƒΠΊ, профСссор, ЗаслуТСнный Π΄Π΅ΡΡ‚Π΅Π»ΡŒ Π½Π°ΡƒΠΊΠΈ Π Π€, ΠŸΠΎΡ‡Π΅Ρ‚Π½Ρ‹ΠΉ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊ Π²Ρ‹ΡΡˆΠ΅Π³ΠΎ ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования Π Π€ ΠΈ ΠŸΠΎΡ‡Π΅Ρ‚Π½Ρ‹ΠΉ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊ Π½Π°ΡƒΠΊΠΈ ΠΈ Ρ‚Π΅Ρ…Π½ΠΈΠΊΠΈ Π Π€ Анатолий ΠœΠΈΡ…Π°ΠΉΠ»ΠΎΠ²ΠΈΡ‡ ΠšΠΎΡ€ΠΈΠΊΠΎΠ²

    ИсслСдованиС напряТСнного состояния Π² струТкС

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    ВибротранспортированиС Π΄Π΅Ρ‚Π°Π»Π΅ΠΉ: Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ экспСримСнта

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    MPI is the predominant model for parallel programming in technical high performance computing. With an increasing number of cores and threads in cluster nodes the question arises whether pure MPI is an appropriate approach to utilize todayοΏ½s compute clusters or if it is profitable to add another layer of parallelism within the nodes by applying OpenMP on a lower level. Investing a limited amount of manpower, we add OpenMP directives to three MPI production codes and compare and analyze the performance varying the number of MPI processes per node and the number of OpenMP threads per MPI process on current CMP/CMT architectures

    О Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… направлСниях дальнСйшСй Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ Π±Π΅Ρ‚Π°Ρ‚Ρ€ΠΎΠ½ΠΎΠ²

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    The novel ScaleMP vSMP architecture employs commodity x86-based servers with an InfiniBand network to assemble a large shared memory system at an attractive price point. We examine this combined hardware- and softwareapproach of a DSM system using both system-level kernel benchmarks as well as real-world application codes. We compare this architecture with traditional shared memory machines and elaborate on strategies to tune application codes parallelized with OpenMP on multiple levels. Finally we summarize the necessary conditions which a scalable application has to fulfill in order to profit from the full potential of the ScaleMP approach

    ВлияниС Ρ‚ΠΎΠ»Ρ‰ΠΈΠ½Ρ‹ ΠΈ Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ располоТСния слоСв Π² ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡ†ΠΈΠΈ ΠΆΠ΅Π»Π΅Π·ΠΎ-полиэтилСн Π½Π° энСргСтичСскоС распрСдСлСниС быстрых Π½Π΅ΠΉΡ‚Ρ€ΠΎΠ½ΠΎΠ²

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    РасчСт производился для Π΄Π²ΡƒΡ… ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡ†ΠΈΠΉ: ΠΆΠ΅Π»Π΅Π·ΠΎ-полиэтилСн, полиэтилСн-ΠΆΠ΅Π»Π΅Π·ΠΎ. Π£Ρ€Π°Π²Π½Π΅Π½ΠΈΠ΅ пСрСноса Π½Π΅ΠΉΡ‚Ρ€ΠΎΠ½ΠΎΠ² Ρ€Π΅ΡˆΠ°Π»ΠΎΡΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ ΠœΠΎΠ½Ρ‚Π΅-ΠšΠ°Ρ€Π»ΠΎ Π² транспортном ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠΈ. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΡŽΡ‚ ΠΎ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌ влиянии слоя Π»Π΅Π³ΠΊΠΎΠ³ΠΎ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π° Π½Π° Π²Π΅Π»ΠΈΡ‡ΠΈΠ½Ρ‹ ΠΏΠΎΡ‚ΠΎΠΊΠ° ΠΈ энСргСтичСскоС распрСдСлСниС ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠΈΡ… Π½Π΅ΠΉΡ‚Ρ€ΠΎΠ½ΠΎΠ², Ρ‡Ρ‚ΠΎ позволяСт ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²ΠΈΡ‚ΡŒ Π²Ρ‹Π±ΠΎΡ€ энСргСтичСского Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π° рСгистрации ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠ΅Π³ΠΎ ΠΏΠΎΡ‚ΠΎΠΊΠ° для получСния максимальной ΠΈΠ·Π±ΠΈΡ€Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΊ слою Π»Π΅Π³ΠΊΠΎΠ³ΠΎ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π°
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