Publications related to Load balancing (computing)

Neural ADMIXTURE for rapid genomic clustering

Characterizing the genetic structure of large cohorts has become increasingly important as genetic studies extend to massive, increasingly diverse biobanks. Popular methods decompose individual genomes into fractional cluster assignments with each cluster ...

SPRINGERNATURE2023

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

GEAR-RT: Towards Exa-Scale Moment Based Radiative Transfer For Cosmological Simulations Using Task-Based Parallelism And Dynamic Sub-Cycling with SWIFT

Mladen Ivkovic

Numerical simulations have become an indispensable tool in astrophysics and cosmology. The constant need for higher accuracy, higher resolutions, and models ofever-increasing sophistication and complexity drives the development of modern toolswhich target ...

EPFL2023

Authenticated private information retrieval

Bryan Alexander Ford, Simone Maria Stefano Colombo, Henry Nathaniel Corrigan-Gibbs, Kirill Nikitin

This paper introduces protocols for authenticated private information retrieval. These schemes enable a client to fetch a record from a remote database server such that (a) the server does not learn which record the client reads, and (b) the client either ...

Berkeley2023

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Lijing Xin, Daniel Wenz, Mark Stephan Widmaier, Songi Lim

A new and efficient magnetisation transfer P-31 magnetic resonance fingerprinting (MT-P-31-MRF) approach is introduced to measure the creatine kinase metabolic rate kCK

{k}_{\mathrm{CK}}

between phosphocreatine (PCr) and adenosine triphosphate (ATP) i ...

WILEY2023

Genuinely distributed Byzantine machine learning

Rachid Guerraoui, El Mahdi El Mhamdi, Le Nguyen Hoang, Sébastien Louis Alexandre Rouault, Arsany Hany Abdelmessih Guirguis

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 ...

2022

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

Paolo Ienne, Kubilay Atasu, Jovan Blanusa

Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along ...

arXiv2022

Beyond Local Optimality of Buffer and Splitter Insertion for AQFP Circuits

Giovanni De Micheli, Heinz Riener, Siang-Yun Lee

Adiabatic quantum-flux parametron (AQFP) is an energy-efficient superconducting technology. Buffer and splitter (B/S) cells must be inserted to an AQFP circuit to meet the technology-imposed constraints on path balancing and fanout branching. These cells a ...

ACM2022

The dynamic stall dilemma for vertical-axis wind turbines

Karen Ann J Mulleners, Sébastien Le Fouest

Vertical-axis wind turbines (VAWT) are excellent candidates to complement traditional wind turbines and increase the total wind energy capacity. Development of VAWT has been hampered by their low efficiency and structural unreliability, which are related t ...

PERGAMON-ELSEVIER SCIENCE LTD2022

A greedy and distributable approach to the Lexicographic Bottleneck Assignment Problem with conditions on exactness

Tony Alan Wood

Solving the Lexicographic Bottleneck Assignment Problem (LexBAP) typically relies on centralised computation with order complexity. We consider the Sequential Bottleneck Assignment Problem (SeqBAP), which yields a greedy solution to the LexBAP and discuss ...

Elsevier2022

Load balancing (computing)

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Neural ADMIXTURE for rapid genomic clustering

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

GEAR-RT: Towards Exa-Scale Moment Based Radiative Transfer For Cosmological Simulations Using Task-Based Parallelism And Dynamic Sub-Cycling with SWIFT

Authenticated private information retrieval

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Genuinely distributed Byzantine machine learning

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

Beyond Local Optimality of Buffer and Splitter Insertion for AQFP Circuits

The dynamic stall dilemma for vertical-axis wind turbines

A greedy and distributable approach to the Lexicographic Bottleneck Assignment Problem with conditions on exactness

Neural ADMIXTURE for rapid genomic clustering

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Beyond Local Optimality of Buffer and Splitter Insertion for AQFP Circuits

GEAR-RT: Towards Exa-Scale Moment Based Radiative Transfer For Cosmological Simulations Using Task-Based Parallelism And Dynamic Sub-Cycling with SWIFT

Authenticated private information retrieval

The dynamic stall dilemma for vertical-axis wind turbines

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

A greedy and distributable approach to the Lexicographic Bottleneck Assignment Problem with conditions on exactness

Genuinely distributed Byzantine machine learning