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  • FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient . . .
    This paper presents a memory-efficient stencil comput-ing system, FlashFFTStencil, designed to bridge Fast Fourier Transforms (FFT) to fully-dense stencil computations on Tensor Core Units with far fewer memory accesses The design of FlashFFTStencil is grounded in three crucial observations: (1) Stencil computations in high-performance
  • FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient . . .
    This repository contains the official code for FlashFFTStencil, a memory-efficient stencil computing system designed to bridge fast Fourier transforms to fully-dense stencil computations on Tensor Core Units
  • 迈向 Z 级计算：Cloud4Science 范式加速科学发现进程 . . .
    为了解决这些挑战，研究员们创造性地将 Stencil、FFT 和矩阵乘法三种经典科学计算算法融为一体，提出了更为高效的 FlashFFTStencil 计算系统 [3]。实验结果证实，FlashFFTStencil 实现了无稀疏性的边界转换，其性能较现有最先进的技术平均提升了 2 57 倍。
  • dblp: FlashFFTStencil: Bridging Fast Fourier Transforms to Memory . . .
    FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units PPoPP 2025: 355-368
  • Kun Li (李琨), MSRA - Bio - Kun Li @ MSRA
    FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units [PPoPP'25] Yiwei Zhang, Kun Li *, Liang Yuan, Haozhi Han, Yunquan Zhang, Ting Cao, Mao Yang Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers
  • MSR HPHEX Group - GitHub
    FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units (PPoPP'25) Cuda 5 1
  • Fast Stencil Computations using Fast Fourier Transforms
    To the best of our knowledge, we give the first algorithms that use fast Fourier transforms to compute final grid data by evolving the initial data for many timesteps at once Our algorithms handle both periodic and aperiodic boundary conditions, and achieve polynomially better performance bounds (i e , computational complexity and parallel
  • FlashFFTStencil: Bridging Fast Fourier Transforms to . . .
    While Tensor Core Units (TCUs) excel in AI tasks, their application to HPC algorithms like stencil computations faces significant challenges due to sparsity, which leads
  • FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient . . .
    Results show that FlashFFTStencil achieves effective sparsity-free bound shifting, with an average speedup of 2 57x over the state-of-the-art FlashFFTStencil pioneers a new era in unifying computational patterns within the HPC landscape and bridges them with cutting-edge AI-driven hardware innovations like TCUs
  • FOURST: A code generator for FFT-based fast stencil computations
    In this paper, we present FOURST – a compiler to generate programs computing time iterated linear periodic and aperiodic stencil computations with fast Fourier transform methods This paper outlines the design and implementation of the code generation approach in FOURST, to automatically generate FFT-based stencil solvers
  • ORCID
    FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units 2025-02-28 | Conference paper DOI: 10 1145 3710848 3710897
  • Fast Stencil Computations using Fast Fourier Transforms
    In this paper, we present two efficient parallel algorithms for performing linear stencil computations Current direct solvers in this domain are computationally inefficient, and Krylov methods require manual labor and mathematical training We solve these problems for linear stencils by using DFT preconditioning on a





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