20 citations · 36 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
GraphScale: Scalable Bandwidth-Efficient Graph Processing on FPGAs
Jonas Dann, Daniel Ritter, Holger Fröning
Recent advances in graph processing on FPGAs promise to alleviate performance bottlenecks with irregular memory access patterns. Such bottlenecks challenge performance for a growin…
Understanding Cache Boundness of ML Operators on ARM Processors
Bernhard Klein, Christoph Gratl, Manfred Mücke +1
Machine Learning compilers like TVM allow a fast and flexible deployment on embedded CPUs. This enables the use of non-standard operators, which are common in ML compression techni…