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Publications associées (26)
Scalable Synchronization in Shared-Memory Systems: Extrapolating, Adapting, Tuning
As hardware evolves, so do the needs of applications. To increase the performance of an application,
there exist two well-known approaches. These are scaling up an application, using a larger multi-core
platform, or scaling out, by distributing work to mul ...
EPFL2018ESTIMA: Extrapolating ScalabiliTy of In-Memory Applications
Rachid Guerraoui, Aleksandar Dragojevic, Georgios Chatzopoulos
This article presents ESTIMA, an easy-to-use tool for extrapolating the scalability of in-memory applications. ESTIMA is designed to perform a simple yet important task: Given the performance of an application on a small machine with a handful of cores, ES ...
2017Efficient Logging in Non-Volatile Memory by Exploiting Coherency Protocols
James Richard Larus, Nachshon Cohen
Non-volatile memory (NVM) technologies such as PCM, ReRAM and STT-RAM allow processors to directly write values to persistent storage at speeds that are significantly faster than previous durable media such as hard drives or SSDs. Many applications of NVM ...
ACM2017Universally Scalable Concurrent Data Structures
The increase in the number of cores in processors has been an important trend over the past decade. In order to be able to efficiently use such architectures, modern software must be scalable: performance should increase proportionally to the number of all ...
EPFL2017Locking Made Easy
Rachid Guerraoui, Vasileios Trigonakis, Georgios Chatzopoulos, Jelena Antic
A priori, locking seems easy: To protect shared data from concurrent accesses, it is sufficient to lock before accessing the data and unlock after. Nevertheless, making locking efficient requires fine-tuning (a) the granularity of locks and (b) the locking ...
ACM Press2016