Publications associées à Concurrency (computer science)

Oligolithic Cross-task Optimizations across Isolated Workloads.

Anastasia Ailamaki, Panagiotis Sioulas, Eleni Zapridou

Enterprises collect data in large volumes and leverage them to drive numerous concurrent decisions and business processes. Their teams deploy multiple applications that often operate concurrently on the same data and infrastructure but have widely differen ...

2024

Improving K-means Clustering Using Speculation

Anastasia Ailamaki, Viktor Sanca, Eleni Zapridou, Stefan Igescu

K-means is one of the fundamental unsupervised data clustering and machine learning methods. It has been well studied over the years: parallelized, approximated, and optimized for different cases and applications. With increasingly higher parallelism leadi ...

2023

WarpAttack: Bypassing CFI through Compiler-Introduced Double-Fetches

Mathias Josef Payer, Flavio Toffalini, Luca Di Bartolomeo, Jianhao Xu

Code-reuse attacks are dangerous threats that attracted the attention of the security community for years. These attacks aim at corrupting important control-flow transfers for taking control of a process without injecting code. Nowadays, the combinations o ...

IEEE COMPUTER SOC2023

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Felix Schürmann, Michael Lee Hines, Bruno Ricardo Da Cunha Magalhães

State-of-the-art simulations of detailed neurons follow the Bulk Synchronous Parallel execution model. Execution is divided in equidistant communication intervals, with parallel neurons interpolation and collective communication guiding synchronization. Su ...

2020

Thread-Placement Learning

Rachid Guerraoui, Vasileios Trigonakis, Karolos Antoniadis

In a non-uniform memory access machine, the placement of software threads to hardware cores can have a significant effect on the performance of concurrent applications. Detecting the best possible placement for each application is a necessity for thread sc ...

IEEE COMPUTER SOC2020

Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks

Bryan Alexander Ford, Philipp Svetolik Jovanovic

It is commonly held that asynchronous consensus is much more complex, difficult, and costly than partially-synchronous algorithms, especially without using common coins. This paper challenges that conventional wisdom with que sera consensus QSC, an approac ...

2020

The Consensus Number of a Cryptocurrency

Rachid Guerraoui, Dragos-Adrian Seredinschi, Matej Pavlovic, Matteo Monti

Many blockchain-based algorithms, such as Bitcoin, implement a decentralized asset transfer system, often referred to as a cryptocurrency. As stated in the original paper by Nakamoto, at the heart of these systems lies the problem of preventing double-spen ...

ASSOC COMPUTING MACHINERY2019

On the Hardness of the Strongly Dependent Decision Problem

Martin Biely

We present necessary and sufficient conditions for solving the strongly dependent decision (SDD) problem in various distributed systems. Our main contribution is a novel characterization of the SDD problem based on point-set topology. For partially synchro ...

ASSOC COMPUTING MACHINERY2019

The Inherent Cost of Remembering Consistently

Rachid Guerraoui, Mihail Igor Zablotchi, Nachshon Cohen

Non-volatile memory (NVM) promises fast, byte-addressable and durable storage, with raw access latencies in the same order of magnitude as DRAM. But in order to take advantage of the durability of NVM, programmers need to design persistent objects which ma ...

2018

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Concurrency (computer science)

Oligolithic Cross-task Optimizations across Isolated Workloads.

Improving K-means Clustering Using Speculation

WarpAttack: Bypassing CFI through Compiler-Introduced Double-Fetches

Concurrency control for database theorists

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Thread-Placement Learning

Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks

The Consensus Number of a Cryptocurrency

On the Hardness of the Strongly Dependent Decision Problem

The Inherent Cost of Remembering Consistently

Graph Chatbot

Chattez avec Graph Search

Improving K-means Clustering Using Speculation

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Thread-Placement Learning

The Inherent Cost of Remembering Consistently

On the Hardness of the Strongly Dependent Decision Problem

The Consensus Number of a Cryptocurrency

Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks