Search Results - "Ruhela, Amit"

The rich and middle classes on Twitter: Are popular users indeed different from regular users? by Ruhela, Amit, Bagchi, Amitabha, Mahanti, Anirban, Seth, Aaditeshwar

“…•Popular users tweet slightly earlier than ordinary users during the growth of Twitter events•Popular users engage with a Twitter event for slightly longer…”
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Efficient design for MPI asynchronous progress without dedicated resources by Ruhela, Amit, Subramoni, Hari, Chakraborty, Sourav, Bayatpour, Mohammadreza, Kousha, Pouya, (DK) Panda, Dhabaleswar K.

“…•Presents a scalable asynchronous progress design that requires - No additional software or hardware resources. - No interrupts from the network adapter. - No…”
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Protecting Metadata Servers From Harm Through Application-level I/O Control by Macedo, Ricardo, Miranda, Mariana, Tanimura, Yusuke, Haga, Jason, Ruhela, Amit, Harrell, Stephen Lien, Evans, Richard Todd, Paulo, Joao

“…Modern large-scale I/O applications that run on HPC infrastructures are increasingly becoming metadata-intensive. Unfortunately, having multiple concurrent…”
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MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU by Ramesh, Srinivasan, Mahéo, Aurèle, Shende, Sameer, Malony, Allen D., Subramoni, Hari, Ruhela, Amit, Panda, Dhabaleswar K. (DK)

“…•An integrated software infrastructure offering runtime introspection, autotuning and recommendations for MPI applications through MPI_T is…”
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Scalable content distribution for social networking websites by Ruhela, A.

“…Nowadays, much of content sharing happens through social networking websites where content diffusion exhibit certain patterns. Most of these contents are small…”
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PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control by Macedo, Ricardo, Miranda, Mariana, Tanimura, Yusuke, Haga, Jason, Ruhela, Amit, Harrell, Stephen Lien, Evans, Richard Todd, Pereira, José, Paulo, João

“…Modern I/O applications that run on HPC infrastructures are increasingly becoming read and metadata intensive. However, having multiple concurrent applications…”
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Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control by Macedo, Ricardo, Miranda, Mariana, Tanimura, Yusuke, Haga, Jason, Ruhela, Amit, Harrell, Stephen Lien, Evans, Richard Todd, Pereira, Jose, Paulo, Joao

“…Modern I/O applications that run on HPC infrastructures are increasingly becoming read and metadata intensive. However, having multiple applications submitting…”
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MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems by Farrell, Steven, Emani, Murali, Balma, Jacob, Drescher, Lukas, Drozd, Aleksandr, Fink, Andreas, Fox, Geoffrey, Kanter, David, Kurth, Thorsten, Mattson, Peter, Mu, Dawei, Ruhela, Amit, Sato, Kento, Shirahata, Koichi, Tabaru, Tsuguchika, Tsaris, Aristeidis, Balewski, Jan, Cumming, Ben, Danjo, Takumi, Domke, Jens, Fukai, Takaaki, Fukumoto, Naoto, Fukushi, Tatsuya, Gerofi, Balazs, Honda, Takumi, Imamura, Toshiyuki, Kasagi, Akihiko, Kawakami, Kentaro, Kudo, Shuhei, Kuroda, Akiyoshi, Martinasso, Maxime, Matsuoka, Satoshi, Mendonca, Henrique, Minami, Kazuki, Ram, Prabhat, Sawada, Takashi, Shankar, Mallikarjun, John, Tom St, Tabuchi, Akihiro, Vishwanath, Venkatram, Wahib, Mohamed, Yamazaki, Masafumi, Yin, Junqi

“…Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High…”
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Analyzing and Understanding the Impact of Interconnect Performance on HPC, Big Data, and Deep Learning Applications: A Case Study with InfiniBand EDR and HDR by Ruhela, Amit, Xu, Shulei, Manian, Karthik V., Subramoni, Hari, Panda, Dhabaleswar K.

“…Communication interfaces of High Performance Computing (HPC) systems, Cloud middleware, and Deep Learning (DL) frameworks have been continually evolving to…”
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A Hierarchical and Load-Aware Design for Large Message Neighborhood Collectives by Ghazimirsaeed, S. Mahdieh, Zhou, Qinghua, Ruhela, Amit, Bayatpour, Mohammadreza, Subramoni, Hari, Panda, Dhabaleswar K. DK

“…The MPI-3.0 standard introduced neighborhood collective to support sparse communication patterns used in many applications. In this paper, we propose a…”
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Leveraging Network-level parallelism with Multiple Process-Endpoints for MPI Broadcast by Ruhela, Amit, Ramesh, Bharath, Chakraborty, Sourav, Subramoni, Hari, Hashmi, Jahanzeb, Panda, Dhabaleswar

“…The Message Passing Interface has been the dominating programming model for developing scalable and high-performance parallel applications. Collective…”
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MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems by Farrell, Steven, Emani, Murali, Balma, Jacob, Drescher, Lukas, Drozd, Aleksandr, Fink, Andreas, Fox, Geoffrey, Kanter, David, Kurth, Thorsten, Mattson, Peter, Mu, Dawei, Ruhela, Amit, Sato, Kento, Shirahata, Koichi, Tabaru, Tsuguchika, Tsaris, Aristeidis, Balewski, Jan, Cumming, Ben, Danjo, Takumi, Domke, Jens, Fukai, Takaaki, Fukumoto, Naoto, Fukushi, Tatsuya, Gerofi, Balazs, Honda, Takumi, Imamura, Toshiyuki, Kasagi, Akihiko, Kawakami, Kentaro, Kudo, Shuhei, Kuroda, Akiyoshi, Martinasso, Maxime, Matsuoka, Satoshi, Mendonça, Henrique, Minami, Kazuki, Ram, Prabhat, Sawada, Takashi, Shankar, Mallikarjun, John, Tom St, Tabuchi, Akihiro, Vishwanath, Venkatram, Wahib, Mohamed, Yamazaki, Masafumi, Yin, Junqi

“…Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High…”
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The scope for Online Social Network aided caching in web CDNs by Ruhela, Amit, Triukose, Sipat, Ardon, Sebastien, Bagchi, Amitabha, Mahanti, Anirban, Seth, Aaditeshwar

“…With Online Social Networking (OSN) services coming to prominence as a major platform for the popularization of Web content, recent research has focused on…”
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Spatio-Temporal Analysis of Topic Popularity in Twitter by Ardon, Sebastien, Bagchi, Amitabha, Mahanti, Anirban, Ruhela, Amit, Seth, Aaditeshwar, Tripathy, Rudra M, Triukose, Sipat

“…We present the first comprehensive characterization of the diffusion of ideas on Twitter, studying more than 4000 topics that include both popular and less…”
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Towards the use of online social networks for efficient Internet content distribution by Ruhela, A., Tripathy, R. M., Triukose, S., Ardon, S., Bagchi, A., Seth, A.

“…A large contributor to the growing Internet traffic is user generated content shared via online social networking websites. Our insight is that these websites…”
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