HcBench: Methodology, Development, and Full-System Characterization of a Customer Usage Representative Big Data/Hadoop Benchmark von Saletore, Vikram A., Krishnan, Karthik, Viswanathan, Vish, Tolentino, Matthew E.

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ETA: experience with an Intel Xeon processor as a packet processing engine von Regnier, G., Minturn, D., McAlpine, G., Saletore, V.A., Foong, A.

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Reduced Precision Research of a GAN Image Generation Use-case von Rehm, Florian, Saletore, Vikram, Vallecorsa, Sofia, Borras, Kerstin, Krücker, Dirk

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Distributed Training of Generative Adversarial Networks for Fast Detector Simulation von Vallecorsa, Sofia, Carminati, Federico, Khattak, Gulrukh, Podareanu, Damian, Codreanu, Valeriu, Saletore, Vikram, Pabst, Hans

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Densifying Assumed-Sparse Tensors: Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Mod... von Cavdar, Derya, Codreanu, Valeriu, Karakus, Can, Lockman, John A., Podareanu, Damian, Saletore, Vikram, Sergeev, Alexander, Smith, Don D., Suthichai, Victor, Ta, Quy, Varadharajan, Srinivas, Wilson, Lucas A., Xu, Rengan, Yang, Pei

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INGESTION OF DATA FOR MACHINE LEARNING DISTRIBUTED TRAINING von Afshar, Yaser, Saletore, Vikram

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Safe self-scheduling : a parallel loop scheduling scheme for shared-memory multiprocessors von JIE LIU, SALETORE, V. A, LEWIS, T. G

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Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train von Codreanu, Valeriu, Podareanu, Damian, Saletore, Vikram

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Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case von Rehm, Florian, Vallecorsa, Sofia, Saletore, Vikram, Pabst, Hans, Chaibi, Adel, Codreanu, Valeriu, Borras, Kerstin, Krücker, Dirk

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Methods and apparatus for distributed training of a neural network von Raghunath Rajan, Arun Tejusve, Procter, Adam, Karkada, Deepthi, Arunachalam, Meenakshi, Saletore, Vikram

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Evaluating network processing efficiency with processor partitioning and asynchronous I/O von BRECHT, Tim, JANAKIRAMAN, G, LYNN, Brian, SALETORE, Vikram, TURNER, Yoshio

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DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks von Cai, Maxwell X, Bédorf, Jeroen, Saletore, Vikram A, Codreanu, Valeriu, Podareanu, Damian, Chaibi, Adel, Qian, Penny X

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Training Multiscale-CNN for Large Microscopy Image Classification in One Hour von Datta, Kushal, Hossain, Imtiaz, Choi, Sun, Saletore, Vikram, Ambert, Kyle, Godinez, William J, Zhang, Xian

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Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model von Bhandare, Aishwarya, Sripathi, Vamsi, Karkada, Deepthi, Menon, Vivek, Choi, Sun, Datta, Kushal, Saletore, Vikram

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Parallel state-space search for a first solution with consistent linear speedups von KALE, L. V, SALETORE, V. A

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Evaluating network processing efficiency with processor partitioning and asynchronous I/O von Brecht, Tim, Janakiraman, G (John), Lynn, Brian, Saletore, Vikram, Turner, Yoshio

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Synchronization scheduler of distributed neural network training von Procter, Adam, Karkada, Deepthi, Arunachalam, Meenakshi, Saletore, Vikram

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METHODS AND APPARATUS FOR DISTRIBUTED TRAINING OF A NEURAL NETWORK von Raghunath Rajan, Arun Tejusve, Procter, Adam, Karkada, Deepthi, Arunachalam, Meenakshi, Saletore, Vikram

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An Architecture for Software-Based iSCSI: Experiences and Analyses von Foong, Annie, McAlpine, Gary, Minturn, Dave, Regnier, Greg, Saletore, Vikram

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Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train von Codreanu, Valeriu, Podareanu, Damian, Saletore, Vikram

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