Publication
Orbe: Scalable Causal Consistency Using Dependency Matrices and Physical Clocks
Related publications (33)
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IEEE COMPUTER SOC2021Efficient Protocols for Enforcing Causal Consistency in Geo-Replicated Key-Value Data Stores
Modern large-scale data platforms manage colossal amount of data, generated by the ever-increasing number of concurrent users. Geo-replicated and sharded key-value data stores play a central role when building such platforms. As the strongest consistency m ...
EPFL2020An Architecture for Load Balance in Computer Cluster Applications
Amid a data revolution that is transforming industries around the globe, computing systems have undergone a paradigm shift where many applications are scaled out to run on multiple computers in a computing cluster. As the storage and processing capabilitie ...
EPFL2020Improving Main-memory Database System Performance through Cooperative Multitasking
Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of
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EPFL2019Asynchronous Simulation of Neuronal Activity
Bruno Ricardo Da Cunha Magalhães
Simulations of the electrical activity of networks of morphologically-detailed neuron models allow for a better understanding of the brain.
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EPFL2019Hardware-conscious Hash-Joins on GPUs
Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas, Manolis Karpathiotakis, Raja Appuswamy
Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...
IEEE2019Network-Compute Co-Design for Distributed In-Memory Computing
The booming popularity of online services is rapidly raising the demands for modern datacenters. In order to cope with data deluge, growing user bases, and tight quality of service constraints, service providers deploy massive datacenters with tens to hund ...
EPFL2018A Programming Model and Foundation for Lineage-Based Distributed Computation
The most successful systems for "big data'' processing have all adopted functional APIs. We present a new programming model we call function passing designed to provide a more principled substrate, or middleware, upon which to build data-centric distribute ...
Cambridge University Press2018