research
∙
08/03/2023
DaphneSched: A Scheduler for Integrated Data Analysis Pipelines
DAPHNE is a new open-source software infrastructure designed to address ...
share
research
∙
07/12/2023
Cornerstone: Octree Construction Algorithms for Scalable Particle Simulations
This paper presents an octree construction method, called Cornerstone, t...
research
∙
09/15/2022
Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers
This work examines the challenges and opportunities of Machine Learning ...
research
∙
09/10/2021
An Execution Fingerprint Dictionary for HPC Application Recognition
Applications running on HPC systems waste time and energy if they: (a) u...
research
∙
06/09/2021
LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications
Exascale computing systems will exhibit high degrees of hierarchical par...
research
∙
03/10/2021
A Resourceful Coordination Approach for Multilevel Scheduling
HPC users aim to improve their execution times without particular regard...
research
∙
01/18/2021
A Distributed Chunk Calculation Approach for Self-scheduling of Parallel Applications on Distributed-memory Systems
Loop scheduling techniques aim to achieve load-balanced executions of sc...
research
∙
10/26/2020
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
This work is based on the seminar titled “Resiliency in Numerical Algori...
research
∙
05/21/2020
Mapping Matters: Application Process Mapping on 3-D Processor Topologies
Applications' performance is influenced by the mapping of processes to c...
research
∙
05/06/2020
A Smoothed Particle Hydrodynamics Mini-App for Exascale
The Smoothed Particles Hydrodynamics (SPH) is a particle-based, meshfree...
research
∙
12/04/2019
SimAS: A Simulation-assisted Approach for the Scheduling Algorithm Selection under Perturbations
Many scientific applications consist of large and computationally-intens...
research
∙
11/15/2019
Two-level Dynamic Load Balancing for High Performance Scientific Applications
Scientific applications are often complex, irregular, and computationall...
research
∙
10/15/2019
An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems
Scientific applications often contain large, computationally-intensive, ...
research
∙
10/07/2019
Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations
Finding the exact close neighbors of each fluid element in mesh-free com...
research
∙
09/02/2019
Algorithm-Based Fault Tolerance for Parallel Stencil Computations
The increase in HPC systems size and complexity, together with increasin...
research
∙
06/11/2019
Anomaly Detection in High Performance Computers: A Vicinity Perspective
In response to the demand for higher computational power, the number of ...
research
∙
05/20/2019
rDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Parallel Independent Tasks
Scientific applications often contain large and computationally intensiv...
research
∙
05/20/2019
Online Research Report: rDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Parallel Independent Tasks
Scientific applications often contain large and computationally intensiv...
research
∙
04/29/2019
SPH-EXA: Enhancing the Scalability of SPH codes Via an Exascale-Ready SPH Mini-App
Numerical simulations of fluids in astrophysics and computational fluid ...
research
∙
04/23/2019
Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations
Silent data corruptions (SDCs) hinder the correctness of long-running sc...
research
∙
03/22/2019
Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach
Computationally-intensive loops are the primary source of parallelism in...
research
∙
01/21/2019
Turning Privacy Constraints into Syslog Analysis Advantage
The mean time between failures (MTBF) of HPC systems is rapidly reducing...
research
∙
12/14/2018
Dynamic Loop Scheduling Using MPI Passive-Target Remote Memory Access
Scientific applications often contain large computationally-intensive pa...
research
∙
11/04/2018
Exploring the Relation Between Two Levels of Scheduling Using a Novel Simulation Approach
Modern high performance computing (HPC) systems exhibit a rapid growth i...
research
∙
11/02/2018
Efficient Generation of Parallel Spin-images Using Dynamic Loop Scheduling
High performance computing (HPC) systems underwent a significant increas...
research
∙
09/21/2018
Towards a Mini-App for Smoothed Particle Hydrodynamics at Exascale
The smoothed particle hydrodynamics (SPH) technique is a purely Lagrangi...
research
∙
09/10/2018
OpenMP Loop Scheduling Revisited: Making a Case for More Schedules
In light of continued advances in loop scheduling, this work revisits th...
research
∙
07/10/2018
SiL: An Approach for Adjusting Applications to Heterogeneous Systems Under Perturbations
Scientific applications consist of large and computationally-intensive l...
research
∙
06/13/2018
The importance and need for system monitoring and analysis in HPC operations and research
In this work, system monitoring and analysis are discussed in terms of t...
research
∙
05/21/2018
Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
Scientific applications are complex, large, and often exhibit irregular ...
research
∙
05/04/2018
Assessing Data Usefulness for Failure Analysis in Anonymized System Logs
System logs are a valuable source of information for the analysis and un...
research
∙
04/30/2018
Experimental Verification and Analysis of Dynamic Loop Scheduling in Scientific Applications
Scientific applications are often irregular and characterized by large c...
research
∙
06/14/2017