Optimizing Paxos with batching and pipelining

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Due to its high parallelism, belief propagation (BP)decoding is amenable to high-throughput applications and thusrepresents a promising solution for the ultra-high peak datarate required by future communication systems. To bridge theperformance gap compare ...

Machine learning models have been shown to leak sensitive information about their training datasets. Models are increasingly deployed on devices, raising concerns that white-box access to the model parameters increases the attack surface compared to black- ...

Macrocycles provide an attractive modality for drug development but the identification of ligands to targets of interest is hindered by the lack of large macrocyclic compound libraries for high-throughput screening. A strategy to efficiently synthesize lar ...

BackgroundIn tissues and organisms, the coordination of neighboring cells is essential to maintain their properties and functions. Therefore, knowing which cells are adjacent is crucial to understand biological processes that involve physical interactions ...

The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with desired physical properties. In this work, we propose algorithms and implementations ...

Macrocycles have excellent potential as therapeutics due to their ability to bind challenging targets. However, generating macrocycles against new targets is hindered by a lack of large macrocycle libraries for high-throughput screening. To overcome this, ...

Industrial chemical processes may involve thermal risks as most of the reactions performed are exothermic, the chemicals used are often thermally unstable, and the operating conditions are set to induce high conversion and throughput. Besides the reactive ...

The nematode Caenorhabditis elegans has been extensively used as a model multicellular organism to study the influence of osmotic stress conditions and the toxicity of chemical compounds on developmental and motility-associated phenotypes. However, the sev ...

Measuring binding affinities and association/dissociation rates of molecular interactions is important for a quantitative understanding of cellular mechanisms. Many low-throughput methods have been developed throughout the years to obtain these parameters. ...

We present a platform that combines microarrays and microfluidic techniques to measure four protein biomarkers in 1024 serum samples for a total of 4096 assays per device. Detection is based on a surface fluorescence sandwich immunoassay with a limit of de ...

Paxos is probably the most popular state machine replication protocol. Two optimizations that can greatly improve its performance are batching and pipelining. Nevertheless, tuning these two optimizations to achieve high-throughput can be challenging, as th ...

Since their invention more than half a century ago, computers have gone from being just an handful of expensive machines each filling an entire room, to being an integral part of almost every aspect of modern life. Nowadays computers are everywhere: in our ...

The nematode Caenorhabditis elegans is a suitable model organism in drug screening. Traditionally worms are grown on agar plates, posing many challenges for long-term culture and phenotyping of animals under identical conditions. Microfluidics allows for ' ...

In this paper we study a multi-channel network, each station of which is equipped with a network interface that has a receiver buffer of multiple packets. In this way, each station is able to receive multiple packets per time instant. We adopt a synchronou ...

To provide low-latency and high-throughput guarantees, most large key-value stores keep the data in the memory of many servers. Despite the natural parallelism across lookups, the load imbalance, introduced by heavy skew in the popularity distribution of k ...

In this paper, we propose a distributed rate allocation algorithm for delay minimal data delivery in overlay networks where multiple sources compete simultaneously for the available network resources. In order to efficiently utilize the network resources, ...

Hierarchical cooperation has recently been shown to achieve better throughput scaling than classical multihop schemes under certain assumptions on the channel model in static wireless networks. However, the end-to-end delay of this scheme turns out to be s ...

Increasing meteorological data availability and quality implies an adaptation of the interpolation methods for data combination. In this paper, we propose a new method to efficiently combine weather radar data with data from two heated rain gauge networks ...

Drops are often used as picoliter-sized reaction vessels, for example for high-throughput screening assays, or as templates to produce particles of controlled sizes and compositions. Many of these applications require close control over the size of drops, ...

We designed a method termed Telospot to discover and characterize telomerase modulators as anticancer drugs or chemical biology tools. Telospot is based on a highly efficient human telomerase expression system and the detection of telomerase DNA reaction p ...

Optimizing Paxos with batching and pipelining

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High-Throughput and Flexible Belief Propagation List Decoder for Polar Codes

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

Methods for high-throughput synthesis and screening of peptide libraries

Nfinder: automatic inference of cell neighborhood in 2D and 3D using nuclear markers

Towards high-throughput many-body perturbation theory: efficient algorithms and automated workflows

Synthesis and direct assay of large macrocycle diversities by combinatorial late-stage modification at picomole scale

Predictive Models for Thermal Stability and Explosive Properties of Chemicals from Molecular Structure

Automated phenotyping of Caenorhabditis elegans embryos with a high-throughput-screening microfluidic platform

Mechanically Induced Trapping of Molecular Interactions and Its Applications

A 1024-sample serum analyzer chip for cancer diagnostics

Tuning Paxos for high-throughput with batching and pipelining

State Machine Replication : from Analytical Evaluation to High-Performance Paxos

Automated Platform for Long-Term Culture and High-Content Phenotyping of Single C. elegans Worms

Destination buffer analysis for packets rejection obliteration in multi-channel networks

Mitigating Load Imbalance in Distributed Data Serving with Rack-Scale Memory Pooling

Distributed Rate Allocation With Intersession Network Coding

Throughput-Delay Tradeoff for Hierarchical Cooperation in Ad Hoc Wireless Networks

Spatial interpolation of precipitation from multiple rain gauge networks and weather radar data for operational applications in Alpine catchments

Production of monodisperse drops from viscous fluids

Low- to high-throughput analysis of telomerase modulators with Telospot