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GUSTAVSON KARL ARCHITECT

WEST VANCOUVER-Canada

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Corporate Name:
GUSTAVSON KARL ARCHITECT
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Company Address: 3685 McKechnie Ave,WEST VANCOUVER,BC,Canada 
ZIP Code:
Postal Code:
V7V 
Telephone Number: 6049261649 
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USA SIC Code(Standard Industrial Classification Code):
18600 
USA SIC Description:
ARCHITECTS 
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GUSTAVSON, KARL
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Company News:
  • 稀疏加速器的典型数据流简介 - 知乎
    Gustavson算法是行固定数据流:它通过遍历A矩阵的一行,并对A的行具有非零坐标的B 的行进行伸缩,即线性组合,每次计算输出矩阵的一行。
  • Gamma: leveraging Gustavson’s algorithm to accelerate sparse matrix . . .
    We present GAMMA, an spMspM accelerator that uses Gustavson's algorithm to address the challenges of prior work GAMMA performs spMspM's computation using specialized processing elements with simple high-radix mergers, and performs many merges in parallel to achieve high throughput
  • Gamma:LeveragingGustavson’sAlgorithm . . .
    We show that prior spMspM accelerators have missed a key dataflow, Gustavson’s, which is often more eficient but has less regular access patterns than previously used dataflows
  • 【Paper Review】GAMMA:Gustavson SpMSpM Accelerator
    Gustavson 可以看作内外积的一种折中,根据A行当中非0元素的下标去找对应的B行,用A行当中的元素乘对应B行得到C中一行的部分和,遍历完A行所有非零元素,累加得到C中一行(原文中把CSR格式的一行称为一个fiber)
  • An Efficient Gustavson-Based Sparse Matrix–Matrix Multiplication . . .
    In this work, we propose an efficient Gustavson-based SpMM accelerator on embedded FPGAs The proposed design fully considers the feature of off-chip memory access on embedded FPGAs and the dataflow of Gustavson’s algorithm
  • 古斯塔夫森定律_百度百科
    古斯塔夫森定律(Gustafson's law)是并行计算领域的理论成果,2018年被收录为计算机科学技术名词。该定律通过公式S=1+(N-1)×p描述加速比,其中N为处理器数量,p为并行部分时间比例,强调问题规模与处理器数量同步增长时加速比可线性提升。该定律与阿姆达尔定律共同构成可扩展计算的理论基础:阿
  • ‪Daniel E. Gustavson‬ - ‪Google Scholar‬
    Daniel E Gustavson University of Colorado Boulder Verified email at colorado edu - Homepage Articles 1–20
  • Gustafson定律 - 知乎
    OverviewGustafson 定律(Gustafson #39;s law)阐述了数据并行带来的影响。Gustafson 定律是由 John L Gustafson 在1988年提出的。是并行计算领域除了 Amdahl 定律之后又一个重要定律。IntroductionAmdahl 定律有…
  • lt;br gt;FSpGEMM:在 FPGA 上使用 Gustavson 算法加速稀疏通用矩阵矩阵乘法的框架,IEEE Transactions on . . .
    此外,为了解决 Gustavson 算法引起的不规则内存访问模式,我们提出了一种针对 Gustavson 算法量身定制的新缓冲方案,该方案通过用于表示稀疏矩阵的新压缩稀疏向量 (CSV) 格式和行重新排序技术作为预处理步骤来实现提高数据重用,从而提高资源利用率。
  • 稀疏矩阵乘法 - Hello from ShiJin
    该论文从优化访存的角度出发,利用Gustavson算法,使得稀疏矩阵乘法的数据流行平稳化,从而使得内存的访问局部连续化。




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