Instrumenting LogP Parameters in GM: Implementation and Validation
نویسندگان
چکیده
This paper describes an apparatus which can be used to vary communication performance parameters for MPI applications, and provides a tool to analyze the impact of communication performance on parallel applications. Our apparatus is based on Myrinet (along with GM). We use an extension of the LogP model to allow higher flexibility in determining the parameter(s) to which parallel applications may be more sensitive to. We show that individual communication parameters can be controlled within a small percentage error, and that the other parameters remain unchanged.
منابع مشابه
QSAR models to predict physico-chemical Properties of some barbiturate derivatives using molecular descriptors and genetic algorithm- multiple linear regressions
In this study the relationship between choosing appropriate descriptors by genetic algorithm to the Polarizability (POL), Molar Refractivity (MR) and Octanol/water Partition Coefficient (LogP) of barbiturates is studied. The chemical structures of the molecules were optimized using ab initio 6-31G basis set method and Polak-Ribiere algorithm with conjugated gradient within HyperChem 8.0 environ...
متن کاملAn MPI Tool to Measure Application Sensitivity to Variation in Communication Parameters
This work describes an apparatus which can be used to vary communication performance parameters for MPI applications, and provides a tool to analyze the impact of communication performance on parallel applications. Our tool is based on Myrinet (along with GM). We use an extension of the LogP model to allow greater flexibility in determining the parameter(s) to which parallel applications may be...
متن کاملCalculating Partition Coefficients of Peptides by the Addition Method
A new addition method is described in this study for calculating the partition coefficients of peptides. LogP and logD values of peptides are calculated by summing the contributions of the component amino acids. The final models are derived from a multivariate linear regression analysis of 219 peptides with known experimental data. The standard errors in a leave-one-out cross-validation are 0.2...
متن کاملToward Instrumenting Network Warfare Competitions to Generate Labeled Datasets
Unlabeled network traffic data is readily available to the security research community, but there is a severe shortage of labeled datasets that allow validation of experimental results. The labeled DARPA datasets of 1998 and 1999, while innovative at the time, are of only marginal utility in today’s threat environment. In this paper we demonstrate that network warfare competitions can be instru...
متن کاملADME Evaluation in Drug Discovery. 3. Modeling Blood-Brain Barrier Partitioning Using Simple Molecular Descriptors
In this paper, QSPR models were developed for in vivo blood-brain partitioning data (logBB) of a large data set consisting of 115 diverse organic compounds. The best model is based on three descriptors: n-octanol/water partition coefficient calculated using the SLOGP approach, logP; high-charged polar surface areas based on the Gasteiger partial charges, HCPSA, and the excessive molecular weigh...
متن کامل