Executive Level Tracking for Agile Projects
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This deck provides the theory and execution for tracking agile projects with predictability and precision.
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Graphs are common in a variety of situation, from social networks to financial transactions. These graphs are gold mines of information, and being able to process them is key to the success of many businesses. Real graph, however, are growing larger and larger, and traditional software and algorithms cannot satisfy the performance needs of the most demanding users.
Gospel, a research line at NECSTLab, aims at making graph processing faster and
readily available to researchers and industry, by leveraging high-performance heterogeneous and novel computer architectures. From accelerating algorithms such as PageRank by making use of modern GPUs, to extending existing frameworks for graph analysis, Gospel offers a broad array of techniques to bring graph processing to the world of high-performance computing.
Gospel - High-performance heterogeneous architectures for graph analytics
Gospel - High-performance heterogeneous architectures for graph analyticsNECST Lab @ Politecnico di Milano
Recommended
Graphs are common in a variety of situation, from social networks to financial transactions. These graphs are gold mines of information, and being able to process them is key to the success of many businesses. Real graph, however, are growing larger and larger, and traditional software and algorithms cannot satisfy the performance needs of the most demanding users.
Gospel, a research line at NECSTLab, aims at making graph processing faster and
readily available to researchers and industry, by leveraging high-performance heterogeneous and novel computer architectures. From accelerating algorithms such as PageRank by making use of modern GPUs, to extending existing frameworks for graph analysis, Gospel offers a broad array of techniques to bring graph processing to the world of high-performance computing.
Gospel - High-performance heterogeneous architectures for graph analytics
Gospel - High-performance heterogeneous architectures for graph analyticsNECST Lab @ Politecnico di Milano
Objeto de conferencia
VI International Conference on Education and Information Systems, Technologies and Applications (EISTA) (Florida, Estados Unidos)
Simulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities, an internal state, a set of input variables that can be controlled and others that cannot, a list of processes that bind these input variables with the entities and one or more output values, which result from the execution of events.
Running a model is totally useless if it can not be analyzed, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.
Existing GPSS implementations and IDE's provide a wide range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance, screening and so on). This is usually enough for most common analysis, but more detailed information and much more specific analysis are often required.
In addition, teaching this kind of simulation languages is always a challenge, since the way it executes the models and the abstraction level that their entities achieve is totally different compared to general purpose programming languages, well known by most students of the area. And this is usually hard for students to understand how everything works underground.
We have developed an open source simulation framework that implements a subset of entities of GPSS language, which can be used for students to improve the understanding of these entities. This tool has also the ability to store all entities of simulations in every single simulation time, which is very useful for debugging simulations, but also for having a detailed history of all entities (permanents and temporary) in the simulations, knowing exactly how they have behaved in every simulation time.
In this paper we provide an overview of this development, making special stress on the simulation model design and on the persistence of simulation entities, which are the basis that students and researchers of the area need in order to extend the model, adapt it to their needs or add all analysis tools to the framework.
Ver registro completo en: http://sedici.unlp.edu.ar/handle/10915/5557Open modeling and simulation framework for evolutive analysis
Open modeling and simulation framework for evolutive analysisServicio de Difusión de la Creación Intelectual (SEDICI)
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Objeto de conferencia
VI International Conference on Education and Information Systems, Technologies and Applications (EISTA) (Florida, Estados Unidos)
Simulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities, an internal state, a set of input variables that can be controlled and others that cannot, a list of processes that bind these input variables with the entities and one or more output values, which result from the execution of events.
Running a model is totally useless if it can not be analyzed, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.
Existing GPSS implementations and IDE's provide a wide range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance, screening and so on). This is usually enough for most common analysis, but more detailed information and much more specific analysis are often required.
In addition, teaching this kind of simulation languages is always a challenge, since the way it executes the models and the abstraction level that their entities achieve is totally different compared to general purpose programming languages, well known by most students of the area. And this is usually hard for students to understand how everything works underground.
We have developed an open source simulation framework that implements a subset of entities of GPSS language, which can be used for students to improve the understanding of these entities. This tool has also the ability to store all entities of simulations in every single simulation time, which is very useful for debugging simulations, but also for having a detailed history of all entities (permanents and temporary) in the simulations, knowing exactly how they have behaved in every simulation time.
In this paper we provide an overview of this development, making special stress on the simulation model design and on the persistence of simulation entities, which are the basis that students and researchers of the area need in order to extend the model, adapt it to their needs or add all analysis tools to the framework.
Ver registro completo en: http://sedici.unlp.edu.ar/handle/10915/5557Open modeling and simulation framework for evolutive analysis
Open modeling and simulation framework for evolutive analysisServicio de Difusión de la Creación Intelectual (SEDICI)
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Executive Level Tracking for Agile Projects
- 1. Executive Level Tracking for Agile Projects (Theory and Execution) Elliot Susel, Agile Project Manager
- 2. Flexibility from agile is great… But how the heck do I track and plan through uncertainty?
- 3. What Executives Want vs. Agile Methodology Big picture understanding of features Smallest possible decomposition of features Set deadlines and release dates Select content only at the start of a sprint Conflicting Interests
- 4. The Solution? Map the details back to the big picture
- 6. Display costs of features Story Maps
- 7. Nice theory… But how exactly do we execute on this?
- 10. Calculate the total point cost per epic and feature group
- 11. Use prioritization, point costs, and velocity to calculate completion Building a Story Map
- 12. Questions? [email_address] online presence: about.me/ElliotSusel