Publications associées à Measuring network throughput

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

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen, Yifei Shen, Yuqing Ren, Chuan Zhang

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 ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Babak Falsafi, Alexandros Daglis, Mark Johnathon Sutherland

Key-Value Stores (KVS) are foundational infrastructure components for online services. Due to their latency-critical nature, today’s best-performing KVS contain a plethora of full-stack optimizations commonly targeting read-mostly, popularity-skewed worklo ...

ACM2023

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

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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 ...

NATURE PORTFOLIO2023

Localizing Traffic Differentiation

Pavlos Nikolopoulos, Muhammad Abdullah, Zeinab Shmeis

Network neutrality is important for users, content providers, policymakers, and regulators interested in understanding how network providers differentiate performance. When determining whether a network differentiates against certain traffic, it is importa ...

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An Iterative Method for Mapping-Aware Frequency Regulation in Dataflow Circuits

Andrea Guerrieri, Lana Josipovic, Carmine Rizzi

Dataflow circuits promise to overcome the scheduling limitations of standard HLS solutions. However, their performance suffers due to timing overheads caused by their handshake communication protocol. Current pipelining solutions fail to account for logic ...

New York2023

iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology

Christoph Merten, Jatin Panwar

Fluorescence-activated droplet sorting (FADS) is a widely used microfluidic technique for high-throughput screening. However, it requires highly trained specialists to determine optimal sorting parameters, and this results in a large combinatorial space th ...

CELL PRESS2023

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

Nicola Marzari, Sokseiha Muy, Conrad Johnston

Functional materials that enable many technological applications in our everyday lives owe their unique properties to defects that are carefully engineered and incorporated into these materials during processing. However, optimizing and characterizing thes ...

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Structure and regulation of the myotonic dystrophy kinase-related Cdc42-binding kinase

Charlotte Julie Caroline Gehin

Protein kinases of the dystonia myotonica protein kinase (DMPK) family are critical regulators of actomyosin contractility in cells. The DMPK kinase MRCK1 is required for the activation of myosin, leading to the develop-ment of cortical tension, apical con ...

CELL PRESS2023

Genuinely distributed Byzantine machine learning

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Machine learning (ML) solutions are nowadays distributed, according to the so-called server/worker architecture. One server holds the model parameters while several workers train the model. Clearly, such architecture is prone to various types of component ...

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Measuring network throughput

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

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Ultra-Low Power Short-Range 60-GHz FMCW Radar Front-End

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

Localizing Traffic Differentiation

An Iterative Method for Mapping-Aware Frequency Regulation in Dataflow Circuits

iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

Structure and regulation of the myotonic dystrophy kinase-related Cdc42-binding kinase

Genuinely distributed Byzantine machine learning

Graph Chatbot

Chattez avec Graph Search

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

Genuinely distributed Byzantine machine learning

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

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Localizing Traffic Differentiation

Ultra-Low Power Short-Range 60-GHz FMCW Radar Front-End

iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

An Iterative Method for Mapping-Aware Frequency Regulation in Dataflow Circuits

Structure and regulation of the myotonic dystrophy kinase-related Cdc42-binding kinase