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20062026
most citedLearning with a Wasserstein Loss

355 citations · 468 across the 28 of their papers we have counts for

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Showing cs.DCShow all

6 papers · 1 filter

cs.DC2026

Stencil Computation at the Intersection of AI and HPC

Timothee Ewart, Mauricio Araya-Polo

Tensor compilers such as TinyTC and OpenAI Triton were originally developed for AI workloads, but the same tiling and memory abstractions can be applied to implement efficient high…

cs.DC2024

Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures

Baodi Shan, Mauricio Araya-Polo

Accelerated computing is widely used in high-performance computing. Therefore, it is crucial to experiment and discover how to better utilize GPUGPUs latest generations on relevant…

cs.DC2023

A Portable Framework for Accelerating Stencil Computations on Modern Node Architectures

Ryuichi Sai, John Mellor-Crummey, Jinfan Xu +1

Finite-difference methods based on high-order stencils are widely used in seismic simulations, weather forecasting, computational fluid dynamics, and other scientific applications.…

cs.DC2020★ 1 cited

Accelerating High-Order Stencils on GPUs

Ryuichi Sai, John Mellor-Crummey, Xiaozhu Meng +2

Stencil computations are widely used in HPC applications. Today, many HPC platforms use GPUs as accelerators. As a result, understanding how to perform stencil computations fast on…

cs.DC2020★ 10 cited

Minimod: A Finite Difference solver for Seismic Modeling

Jie Meng, Andreas Atle, Henri Calandra +1

This article introduces a benchmark application for seismic modeling using finite difference method, which is namedMiniMod, a mini application for seismic modeling. The purpose is…

cs.DC2016

Performance Analysis and Optimization of a Hybrid Distributed Reverse Time Migration Application

Sri Raj Paul, John Mellor-Crummey, Mauricio Araya-Polo +1

Applications to process seismic data employ scalable parallel systems to produce timely results. To fully exploit emerging processor architectures, application will need to employ…