The Parallel and Distributed Systems group participates (or has participated) to the following research projects.
Rackscale computing
Scalevisor (ANR project 2019-2022) is an hypervisor at the scale of a rack.
Performance analysis for parallel applications
EZTrace is a tracing framework for HPC applications.
NumaMMA is a memory profiler.
Pythia (ANR project 2019-2022) is a profiler and a runtime that optimizes applications by predicting their behavior.
Energy consumption for HPC applications
DUF is a runtime systems that automatically adapts the processor uncore frequency in order to save energy with as little performance degradation as possible.
Scalable File Systems
RainbowFS ANR project (2017-2020) that investigates an approach to distributed storage that ensures consistency semantics tailored to the application, while retaining scalability and availability.
Runtime for HPC and IA applications
This project has the goal of designing new runtimes and optimizing existing runtimes in order to execute more efficiently HPC and IA applications.
Serverless Computing
CloudButton is an H2020 project (2019-2021) that aims at creating a Serverless Data Analytics Platform.
Multiscale Distributed Event-Based Systems
muDEBS is a middleware framework for context-management (e.g. muContext and QoCIM) in the IoT.
Privacy
Primate is a ANR project (2018-2022) that has the goal of proposing a domain specific language for C and C++ applications tailored to enforce privacy.
Non volatile memory
NVCache is a cache that increases I/O performance of legacy applications by leveraging non volatile memory.
Jnvm is a framework to efficiently use non volatile memory in Java without modifying the Java runtime.
Last modify 19 December 2019