## RDMA is Turing complete we just did not know it yet

Remote Direct Memory Access(RDMA) NICs (RNICs) are one such device, allowing applications to offloadremote memory accesses . RDMA still requires CPU intervention for complex offloads, beyond simple remote memory access . RedN can outperform one and two-sided RDMA implementations by up to 3x and 7.8x for key-value get operations and .performance…

## OpenCV2X Modelling of the V2X Cellular Sidelink and Performance Evaluation for Aperiodic Traffic

This paper presents OpenCV2X, the first publicly available, open-sourcesimulation model of the Third Generation Partnership Project (3GPP) Release 14Cellular Vehicle to Everything (C-V2X) sidelink) This model forms the basis for 5GNR Mode 2 under later releases . We show how the currentsidelink scheduling mechanism performs poorly when scheduling applications with highly aperiodic communication characteristics, such as ETSI CooperativeAwareness Messages .…

## Pyfectious An individual level simulator to discover optimal containment polices for epidemic diseases

Many existing simulators arebased on compartment models that divide people into a few subsets and simulatethe dynamics among those subsets using hypothesized differential equations . In this work, we introduce a simulator software capable of modeling a populationstructure and controlling the disease’s propagation at an individualisticlevel .…

## A Message Passing based Adaptive PDA Algorithm for Robust Radio based Localization and Tracking

We present a message passing algorithm for localization and tracking inmultipath-prone environments . The proposed adaptive probabilistic data association algorithminfers the position of a mobile agent using multiple anchors . The algorithm adapts in an online manner to both, the time-varyingsignal-to-noise-ratio and line-of-sight (LOS) existence probability of eachanchor .…

## Detecting User Perceived Failure in Mobile Applications via Mining User Traces

Mobile applications (apps) often suffer from failure nowadays . Developers pay more attention to the failure that is perceived by users andcompromises the user experience . By leveraging the frontend user traces, our approach first builds an app page model, and applies an unsupervised detection algorithm to detect whether a user has perceived failure .…

## Single Sample Prophet Inequalities Revisited

The study of the prophet inequality problem in the limited information regimewas initiated by Azar et al. [SODA’14] in the pursuit of prior-independentposted-price mechanisms . As they show, $O(1)$-competitive policies areachievable using only a single sample from the distribution of each agent .…

## Multi Agent Off Policy TD Learning Finite Time Analysis with Near Optimal Sample Complexity and Communication Complexity

The finite-time convergence of off-policy TD learning has been studied recently, but such a type of convergence has not been well established for multi-agent learning in the multi-agents setting . This work develops two decentralized TD with correction (TDC) algorithms formulti-agent off-Policy TD learning under Markovian sampling .…

## Analysis of QoS in Heterogeneous Networks with Clustered Deployment and Caching Aware Capacity Allocation

In cellular networks, the densification of connected devices and basestations engender the ever-growing traffic intensity . We propose the allocation ofdownlink data transmission capacity according to the cases of requestedcontents which are either cached or non-cached in nearby nodes . The throughput and delay of the allocationsystem are derived based on the approximated sojourn time of the DiscriminatoryProcessor Sharing (DPS) queue .…

## SCHeMa Scheduling Scientific Containers on a Cluster of Heterogeneous Machines

SCHeMa is an open-source platform that facilitates the execution and reproducibility of computational analysis on heterogeneous clusters . It uses containerization, experiment packaging, workflow management, and machine learning technologies . SCMa is the latest open source platform to combine these technologies with machine learning and containerization to facilitate the work of scientists in this direction .…

## Pursuing robust decisions in uncertain traffic equilibrium problems

We evaluate the robustness of agents’ traffic equilibria in randomizedrouting games characterized by an uncertain network demand with a possiblyunknown probability distribution . We extend the so-called hosemodel by considering a traffic equilibrium model where the uncertain networkdemand configuration configuration belongs to a polyhedral set, whose shape is itself a-priori unknown .…

## GISE 51 A scalable isolated sound events dataset

GISE-51 is a datasetspanning 51 isolated sound events belonging to a broad domain of event types . We also release a dataset of 5-second soundscapes with hard-labelled event boundaries synthesized from Gise-51 isolated sound . We conduct baseline sound event recognition (SER) experiments on the GISE51-Mixtures dataset, benchmarking prominent convolutional neural networks,and models trained with the dataset demonstrate strong transfer learning performance on existing audio recognition benchmarks .…