4 citations · 4 across the 6 of their papers we have counts for
6 papers
GraphMatch: Subgraph Query Processing on FPGAs
Jonas Dann, Tobias Götz, Daniel Ritter +2
Efficiently finding subgraph embeddings in large graphs is crucial for many application areas like biology and social network analysis. Set intersections are the predominant and mo…
Probabilistic Photonic Computing with Chaotic Light
Frank Brückerhoff-Plückelmann, Hendrik Borras, Bernhard Klein +10
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data, a task that poses significant challenges…
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
Yannick Emonds, Kai Xi, Holger Fröning
Resistive memory is a promising alternative to SRAM, but is also an inherently unstable device that requires substantial effort to ensure correct read and write operations. To avoi…
On Performance Analysis of Graphcore IPUs: Analyzing Squared and Skewed Matrix Multiplication
S. -Kazem Shekofteh, Christian Alles, Nils Kochendörfer +1
In recent decades, High Performance Computing (HPC) has undergone significant enhancements, particularly in the realm of hardware platforms, aimed at delivering increased processin…
On the Non-Associativity of Analog Computations
Lisa Kuhn, Bernhard Klein, Holger Fröning
The energy efficiency of analog forms of computing makes it one of the most promising candidates to deploy resource-hungry machine learning tasks on resource-constrained system suc…
Reducing Memory Requirements for the IPU using Butterfly Factorizations
S. -Kazem Shekofteh, Christian Alles, Holger Fröning
High Performance Computing (HPC) benefits from different improvements during last decades, specially in terms of hardware platforms to provide more processing power while maintaini…