20 citations · 36 across the 18 of their papers we have counts for
4 papers · 1 filter
Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning
Daniel Barley, Holger Fröning
The rise of Deep Neural Networks (DNNs) has led to an increase in model size and complexity, straining the memory capacity of GPUs. Sparsity in DNNs, characterized as structural or…
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…