22 citations · 27 across the 6 of their papers we have counts for
7 papers
Cache Management for Mixture-of-Experts LLMs -- extended version
Spyros Angelopoulos, Loris Marchal, Adrien Obrecht +1
Large language models (LLMs) have demonstrated remarkable capabilities across a variety of tasks. One of the main challenges towards the successful deployment of LLMs is memory man…
Scheduling on Two Types of Resources: a Survey
Olivier Beaumont, Louis-claude Canon, Lionel Eyraud-Dubois +5
The evolution in the design of modern parallel platforms leads to revisit the scheduling jobs on distributed heterogeneous resources. The goal of this survey is to present the main…
Scheduling Trees of Malleable Tasks for Sparse Linear Algebra
Abdou Guermouche, Loris Marchal, Bertrand Simon +1
Scientific workloads are often described as directed acyclic task graphs. In this paper, we focus on the multifrontal factorization of sparse matrices, whose task graph is structur…
Parallel scheduling of task trees with limited memory
Lionel Eyraud-Dubois, Loris Marchal, Oliver Sinnen +1
This paper investigates the execution of tree-shaped task graphs using multiple processors. Each edge of such a tree represents some large data. A task can only be executed if all…
Analysis of Dynamic Scheduling Strategies for Matrix Multiplication on Heterogeneous Platforms
Olivier Beaumont, Loris Marchal
The tremendous increase in the size and heterogeneity of supercomputers makes it very difficult to predict the performance of a scheduling algorithm. Therefore, dynamic solutions,…
Scheduling tree-shaped task graphs to minimize memory and makespan
Loris Marchal, Oliver Sinnen, Frédéric Vivien
This paper investigates the execution of tree-shaped task graphs using multiple processors. Each edge of such a tree represents a large IO file. A task can only be executed if all…