An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

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Due to stringent energy and performance constraints, edge AI computing often employs heterogeneous systems that utilize both general-purpose CPUs and accelerators. Analog in-memory computing (AIMC) is a well-known AI inference solution that overcomes compu ...

The metric backbone of a weighted graph is the union of all-pairs shortest paths. It is obtained by removing all edges

(u,v)

that are not the shortest path between

u

and

v

. In networks with well-separated communities, the metric backbone tends to pre ...

A long-standing goal of science is to accurately simulate large molecular systems using quantum mechanics. The poor scaling of current quantum chemistry algorithms on classical computers, however, imposes an effective limit of about a few dozen atoms on tr ...

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Failure detectors (FD)s are celebrated for their modularity in solving distributed problems. Algorithms are constructed using FD building blocks. Synchrony assumptions to implement FDs are studied separately and are typically expressed as eventual guarante ...

In this paper, we present the first general solution to the automatic reconfiguration problem of timed discrete-event systems. We extend the recursive forcible backtracking approach which had been already solved the automatic reconfiguration problem of unt ...

We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about news articles in real-time and provides quality indicators about their valid ...

This paper is devoted to the distributed complexity of finding an approximation of the maximum cut in graphs. A classical algorithm consists in letting each vertex choose its side of the cut uniformly at random. This does not require any communication and ...

Software packet-processing platforms- - network devices running on general-purpose servers-- are emerging as a compelling alternative to the traditional high-end switches and routers running on specialized hardware. Their promise is to enable the fast dep ...

This study presents a single-core and a multi-core processor architecture for health monitoring systems where slow biosignal events and highly parallel computations exist. The single-core architecture is composed of a processing core (PC), an instruction m ...

We study the role of network architecture in the formation of synchronous clusters in synaptically coupled networks of bursting neurons. We give a simple combinatorial algorithm that finds the largest synchronous clusters from the network topology. We demo ...

An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

Chattez avec Graph Search

Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs

Why the Metric Backbone Preserves Community Structure

A recipe for cracking the quantum scaling limit with machine learned electron densities

A Hyperspectral Space of Skin Tones for Inverse Rendering of Biophysical Skin Properties

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions

A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs

Probabilistic and temporal failure detectors for solving distributed problems

Reconfigurable Timed Discrete-Event Systems

SciLens News Platform: A System for Real-Time Evaluation of News Articles

Local Approximation of the Maximum Cut in Regular Graphs

Building Evolvable Networks : Flexible and Predictable Packet Processing

Power/Performance Exploration of Single-core and Multi-core Processor Approaches for Biomedical Signal Processing

Mesoscale and clusters of synchrony in networks of bursting neurons