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On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Dense linear algebra kernels, such as linear solvers or tensor contracti...
10/12/2020 ∙ by Grzegorz Kwasniewski, et al. ∙
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PsPIN: A high-performance low-power architecture for flexible in-network compute
The capacity of offloading data and control tasks to the network is beco...
10/07/2020 ∙ by Salvatore Di Girolamo, et al. ∙
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High-Performance Routing with Multipathing and Path Diversity in Ethernet and HPC Networks
The recent line of research into topology design focuses on lowering net...
07/07/2020 ∙ by Maciej Besta, et al. ∙
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Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
Designing efficient cooling systems for integrated circuits (ICs) relies...
12/18/2019 ∙ by Alexandros Nikolaos Ziogas, et al. ∙
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A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations
The computational efficiency of a state of the art ab initio quantum tra...
12/18/2019 ∙ by Alexandros Nikolaos Ziogas, et al. ∙
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Network-Accelerated Non-Contiguous Memory Transfers
Applications often communicate data that is non-contiguous in the send- ...
08/22/2019 ∙ by Salvatore Di Girolamo, et al. ∙
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Stateful Dataflow Multigraphs: A Data-Centric Model for Performance Portability on Heterogeneous Architectures
The ubiquity of accelerators in high-performance computing has driven pr...
02/27/2019 ∙ by Tal Ben-Nun, et al. ∙
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Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs
With the ubiquity of accelerators, such as FPGAs and GPUs, the complexit...
02/27/2019 ∙ by Tal Ben-Nun, et al. ∙
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