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Frederic Suter

Senior Researcher

I am CNRS Senior Researcher at the IN2P3 Computing Center. My research interests include simulation of parallel and distributed systems, scientific workflows, scheduling, and working with scientists from other fields.

Publications

  • Sim-Situ: A Framework for the Faithful Simulation of in-situ Workflows
  • Fair Resource Sharing for Dynamic Scheduling of Workflows on Heterogeneous Systems
  • Self-constrained resource allocation procedures for parallel task graph scheduling on shared computing grids
  • Sequence-RTG: Efficient and Production-Ready Pattern Mining in System Log Messages
  • Minimizing stretch and makespan of multiple Parallel Task Graphs via malleable allocations
  • Assessing the performance of MPI applications through time-independent trace replay
  • E-Biothon: An experimental platform for bioinformatics
  • Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation
  • Scalable multi-purpose network representation for large scale distributed system simulation
  • Single node on-line simulation of MPI applications with SMPI
  • Alea – Complex Job Scheduling Simulator
  • Budget constrained resource allocation for non-deterministic workflows on an iaas cloud
  • Don’t Hurry Be Happy: A Deadline-Based Backfilling Approach
  • Evaluation through realistic simulations of file replication strategies for large heterogeneous distributed systems
  • Redistribution aware two-step scheduling for mixed-parallel applications
  • A bi-criteria algorithm for scheduling parallel task graphs on clusters
  • Learning-Based Approaches to Estimate Job Wait Time in HTC Datacenters
  • Bridging concepts and practice in escience via simulation-driven engineering
  • Scheduling dynamic workflows onto clusters of clusters using postponing
  • Improving the accuracy and efficiency of time-independent trace replay
  • Jedule: A tool for visualizing schedules of parallel applications
  • Simulation of MPI applications with time-independent traces
  • Accurately Simulating Energy Consumption of I/O-Intensive Scientific Workflows
  • Versatile, scalable, and accurate simulation of distributed applications and platforms
  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Introduction
  • Scheduling Δ-critical tasks in mixed-parallel applications on a national grid
  • Toward better simulation of MPI applications on ethernet/TCP networks
  • Out-of-core wavefront computations with reduced synchronization
  • Toward More Scalable Off-Line Simulations of MPI Applications
  • Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows
  • Concurrent scheduling of parallel task graphs on multi-clusters using constrained resource allocations
  • Synthesizing generic experimental environments for simulation
  • Developing accurate and scalable simulators of production workflow management systems with WRENCH
  • An Exact Algorithm for the Linear Tape Scheduling Problem
  • Reducing the human-in-the-loop component of the scheduling of large HTC workloads
  • Modeling distributed platforms from application traces for realistic file transfer simulation
  • Adding storage simulation capacities to the SimGrid toolkit: Concepts, models, and API
  • A comparison of scheduling approaches for mixed-parallel applications on heterogeneous platforms
  • From simulation to experiment: A case study on multiprocessor task scheduling
  • Critical path and area based scheduling of parallel task graphs on heterogeneous platforms
  • On cluster resource allocation for multiple parallel task graphs
  • SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation
  • WRENCH: A Framework for Simulating Workflow Management Systems
  • Scheduling parallel task graphs on (Almost) homogeneous multicluster platforms
  • Data-aware and simulation-driven planning of scientific workflows on IaaS clouds
  • Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward
  • Driving Next-Generation Workflows from the Data Plane
  • Simulating MPI applications: the SMPI approach
  • Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing
  • Towards Cross-Facility Workflows Orchestration through Distributed Automation
  • Network enabled servers to network enabled servers
  • Parallel extension of a dynamic performance forecasting tool
  • A scalable approach to network enabled servers
  • Mixed parallel implementations of the top level step of Strassen and Winograd matrix multiplication algorithms
  • Impact of mixed-parallelism on parallel implementations of the Strassen and Winograd matrix multiplication algorithms
  • Out-of-core and pipeline techniques for wavefront algorithms
  • Performance evaluation of linear algebra routines
  • Scilab to Scilab∥: The Ouragan project
  • From heterogeneous task scheduling to heterogeneous mixed parallel scheduling
  • One-step algorithm for mixed data and task parallel scheduling without data replication
  • Lowering entry barriers to developing custom simulators of distributed applications and platforms with SimGrid

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