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An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
Deep Neural Network (DNN) frameworks use distributed training to enable ...
04/19/2021 ∙ by Albert Njoroge Kahira, et al. ∙
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Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution
Empirical Dynamic Modeling (EDM) is a nonlinear time series causal infer...
11/22/2020 ∙ by Wassapon Watanakeesuntorn, et al. ∙
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Disaggregated Accelerator Management System for Cloud Data Centers
A conventional data center that consists of monolithic-servers is confro...
10/26/2020 ∙ by Ryousei Takano, et al. ∙
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Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
The dedicated memory of hardware accelerators can be insufficient to sto...
08/26/2020 ∙ by Mohamed Wahib, et al. ∙
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A Prompt Report on the Performance of Intel Optane DC Persistent Memory Module
In this prompt report, we present the basic performance evaluation of In...
02/13/2020 ∙ by Takahiro Hirofuchi, et al. ∙
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iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction
Computed Tomography (CT) is a widely used technology that requires compu...
09/06/2019 ∙ by Peng Chen, et al. ∙
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A Software-based NVM Emulator Supporting Read/Write Asymmetric Latencies
Non-volatile memory (NVM) is a promising technology for low-energy and h...
08/02/2019 ∙ by Atsushi Koshiba, et al. ∙
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The Preliminary Evaluation of a Hypervisor-based Virtualization Mechanism for Intel Optane DC Persistent Memory Module
Non-volatile memory (NVM) technologies, being accessible in the same man...
07/28/2019 ∙ by Takahiro Hirofuchi, et al. ∙
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A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
This paper proposes a versatile high-performance execution model, inspir...
07/14/2019 ∙ by Peng Chen, et al. ∙
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Perturbative GAN: GAN with Perturbation Layers
Perturbative GAN, which replaces convolution layers of existing convolut...
02/05/2019 ∙ by Yuma Kishi, et al. ∙
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