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IPPS
2007
IEEE
14 years 2 months ago
Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Hui Li, Lex Wolters
IPPS
2007
IEEE
14 years 2 months ago
Low-Overhead LogGP Parameter Assessment for Modern Interconnection Networks
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
Torsten Hoefler, Andre Lichei, Wolfgang Rehm
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
13 years 6 months ago
Performance-driven task co-scheduling for MapReduce environments
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...
IPPS
2000
IEEE
14 years 14 days ago
Applying Interposition Techniques for Performance Analysis of OpenMP Parallel Applications
Tuning parallel applications requires the use of effective tools for detecting performance bottlenecks. Along a parallel program execution, many individual situations of performan...
Marc González, Albert Serra, Xavier Martore...
MIDDLEWARE
2007
Springer
14 years 2 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...