Communications of the ACM
Measuring parallel processor performance
Communications of the ACM
Program speedup in a heterogeneous computing network
Journal of Parallel and Distributed Computing - Special issue on heterogeneous processing
How to Measure, Present, and Compare Parallel Performance
IEEE Parallel & Distributed Technology: Systems & Technology
Journal of Parallel and Distributed Computing
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Dynamic Cluster Resource Allocations for Jobs with Known and Unknown Memory Demands
IEEE Transactions on Parallel and Distributed Systems
Improving flexibility and efficiency by adding parallelism to genetic algorithms
Statistics and Computing
Heterogeneous computing and parallel genetic algorithms
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
The Heterogeneous Bulk Synchronous Parallel Model
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Modeling and characterizing parallel computing performance on heterogeneous networks of workstations
SPDP '95 Proceedings of the 7th IEEE Symposium on Parallel and Distributeed Processing
Modeling Parallel Applications Performance on Heterogeneous Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Effective Load Sharing on Heterogeneous Networks of Workstations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Improving Cluster Utilization through Set Based Allocation Policies
ICPPW '01 Proceedings of the 2001 International Conference on Parallel Processing Workshops
Adaptive Memory Allocations in Clusters to Handle Unexpectedly Large Data-Intensive Jobs
IEEE Transactions on Parallel and Distributed Systems
Scalability of heterogeneous parallel systems
Programming and Computing Software
The speciating island model: an alternative parallel evolutionary algorithm
Journal of Parallel and Distributed Computing - Special issue on parallel bioinspired algorithms
Digital Sherpa: a set of high level tools to manage scientific applications in a computational grid
Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities
Computers in Biology and Medicine
Prediction of structures and related properties of silicon clusters
Journal of Computational Methods in Sciences and Engineering - Silicon Clusters
An entropy-based algorithm for data elimination in time-driven software instrumentation
Journal of Systems and Software
Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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This paper presents a general model to define, measure and predict the efficiency of applications running on heterogeneous parallel computer systems. Using this framework, it is possible to understand the influence that the heterogeneity of the hardware has on the efficiency of an algorithm. This methodology is used to compare an existing parallel genetic algorithm with a new adaptive parallel model. All the performance measurements were taken in a loosely coupled cluster of processors.