Semiconductor Engineering

Hypergraph-based Techniques To Map Spiking Neural Networks on Neuromorphic HW (Politecnico di Milano)

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...
How-To Geek on MSN

Please stop partitioning your SSDs (unless you plan to dual-boot)

Drive partitioning is not the hot thing that it once was.
Frontiers

Functional partitioning through competitive learning

1 Institute of Material Systems Modeling, Helmholtz-Zentrum Hereon, Geesthacht, Germany 2 Institute for Continuum and Material Mechanics, Hamburg University of Technology, Hamburg, Germany Datasets ...
Live Science

Google's breakthrough 'Quantum Echoes' algorithm pushes us closer to useful quantum computing — running 13,000 times faster than on a supercomputer

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it on another quantum computer. When you purchase through links on our site, we ...
marktechpost

Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...
acm.org

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...
IEEE

Efficient Large Graph Partitioning Scheme Using Incremental Processing in GPU

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...
Frontiers

Scalable network emulation on analog neuromorphic hardware

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This approach is well ...