From parallel architecture to mapreduce hadoop passing on grid, UNIFI coursePaolo Nesi
Contesto tecnologico
Architetture Parallele
GRID: definizione e motivazioni
Concetti estesi dei GRID, microgrid
Applicazioni e problemi dei GRID
Soluzioni GRID...Globus, Condor
Soluzioni MicroGRID: AXCP grid
Applicazioni per microGRID
Confronto fra GRID
Architetture MapReduce
Yes special occasions like birthdays and anniversaries are indeed special. Not because they come only once in a year, but because they are the times when your life took an important turn.
El amor se compone de ternura, fidelidad, atracción, sinceridad, aprecio, amistad, cariño, felicidad y honestidad. Estos elementos forman la base de una relación sólida y significativa entre dos personas.
Mobiilioppiminen voi olla muutakin kuin valmiin materiaalin opiskelua laitteesta. Siihen liittyy yhteydenpitoa ja kommunikointia, materiaalin tuottamista itse ja ryhmissä sekä monipuolisia mahdollisuuksia tukea oppimista autenttisissa tilanteissa. Tässä muutamia esimerkkejä ammatillisesta koulutuksesta.
A few years ago, Domo created a wildly-popular infographic that catalogued how much data is created by common web services every minute. Since the internet landscape changes so quickly, we thought it would be interesting to revisit the topic and see what’s changed, through the same ‘one minute’ lens. Enjoy!
Diego Pacheco discusses his experiences with agile software development techniques like pairing, Scrum, and XP. He shares photos and links related to starting a new project, managing costs and contracts, transparency, collaboration tools, code reviews, and retrospectives. Pacheco thanks his audience at the end.
Belleza bajo el agua- By Zena Hollowaymaditabalnco
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las importaciones de productos rusos de alta tecnología y a las exportaciones de bienes de lujo a Rusia. Además, se congelarán los activos de varios oligarcas rusos y se prohibirá el acceso de los bancos rusos a los mercados financieros de la UE.
Felix Valles is a student at the University of Puerto Rico at Cayey pursuing a Bachelor's degree in Biology with the goal of attending veterinary school. He has gained research experience through the RISE program where he has presented papers on topics such as the inhibition of TNF-α and extra-pair paternity in birds. Valles also gained experience at a veterinary hospital in Ponce and has demonstrated skills in techniques such as protein separation using magnetic nanoparticles. He is fluent in Spanish and English and involved in the RISE program and a pre-vet student group.
Este documento describe las diferencias entre señales análogas y digitales. Explica que las señales análogas varían de forma continua, mientras que las señales digitales toman valores discretos. También define conceptos como amplitud, frecuencia, periodo, fase y longitud de onda que caracterizan a las señales. Finalmente, destaca las ventajas de las señales digitales sobre las análogas, como su mejor calidad y aprovechamiento del ancho de banda.
The document discusses concurrency and synchronization in distributed computing. It provides an overview of Petr Kuznetsov's research at Telecom ParisTech, which includes algorithms and models for distributed systems. Some key points discussed are:
- Concurrency is important due to multi-core processors and distributed systems being everywhere. However, synchronization between concurrent processes introduces challenges.
- Common synchronization problems include mutual exclusion, readers-writers problems, and producer-consumer problems. Tools for synchronization include semaphores, transactional memory, and non-blocking algorithms.
- Characterizing distributed computing models and determining what problems can be solved in a given model is an important area of research, with implications for distributed system design.
The document discusses weakly supervised learning from video and images using convolutional neural networks. It describes using scripts as weak supervision for learning actions from movies without explicit labeling. Methods are presented for jointly learning actors and actions from scripts, and for action learning with ordering constraints. The use of CNNs for object and action recognition in images is also summarized, including work on training CNNs using only image-level labels without bounding boxes.
From parallel architecture to mapreduce hadoop passing on grid, UNIFI coursePaolo Nesi
Contesto tecnologico
Architetture Parallele
GRID: definizione e motivazioni
Concetti estesi dei GRID, microgrid
Applicazioni e problemi dei GRID
Soluzioni GRID...Globus, Condor
Soluzioni MicroGRID: AXCP grid
Applicazioni per microGRID
Confronto fra GRID
Architetture MapReduce
Yes special occasions like birthdays and anniversaries are indeed special. Not because they come only once in a year, but because they are the times when your life took an important turn.
El amor se compone de ternura, fidelidad, atracción, sinceridad, aprecio, amistad, cariño, felicidad y honestidad. Estos elementos forman la base de una relación sólida y significativa entre dos personas.
Mobiilioppiminen voi olla muutakin kuin valmiin materiaalin opiskelua laitteesta. Siihen liittyy yhteydenpitoa ja kommunikointia, materiaalin tuottamista itse ja ryhmissä sekä monipuolisia mahdollisuuksia tukea oppimista autenttisissa tilanteissa. Tässä muutamia esimerkkejä ammatillisesta koulutuksesta.
A few years ago, Domo created a wildly-popular infographic that catalogued how much data is created by common web services every minute. Since the internet landscape changes so quickly, we thought it would be interesting to revisit the topic and see what’s changed, through the same ‘one minute’ lens. Enjoy!
Diego Pacheco discusses his experiences with agile software development techniques like pairing, Scrum, and XP. He shares photos and links related to starting a new project, managing costs and contracts, transparency, collaboration tools, code reviews, and retrospectives. Pacheco thanks his audience at the end.
Belleza bajo el agua- By Zena Hollowaymaditabalnco
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las importaciones de productos rusos de alta tecnología y a las exportaciones de bienes de lujo a Rusia. Además, se congelarán los activos de varios oligarcas rusos y se prohibirá el acceso de los bancos rusos a los mercados financieros de la UE.
Felix Valles is a student at the University of Puerto Rico at Cayey pursuing a Bachelor's degree in Biology with the goal of attending veterinary school. He has gained research experience through the RISE program where he has presented papers on topics such as the inhibition of TNF-α and extra-pair paternity in birds. Valles also gained experience at a veterinary hospital in Ponce and has demonstrated skills in techniques such as protein separation using magnetic nanoparticles. He is fluent in Spanish and English and involved in the RISE program and a pre-vet student group.
Este documento describe las diferencias entre señales análogas y digitales. Explica que las señales análogas varían de forma continua, mientras que las señales digitales toman valores discretos. También define conceptos como amplitud, frecuencia, periodo, fase y longitud de onda que caracterizan a las señales. Finalmente, destaca las ventajas de las señales digitales sobre las análogas, como su mejor calidad y aprovechamiento del ancho de banda.
The document discusses concurrency and synchronization in distributed computing. It provides an overview of Petr Kuznetsov's research at Telecom ParisTech, which includes algorithms and models for distributed systems. Some key points discussed are:
- Concurrency is important due to multi-core processors and distributed systems being everywhere. However, synchronization between concurrent processes introduces challenges.
- Common synchronization problems include mutual exclusion, readers-writers problems, and producer-consumer problems. Tools for synchronization include semaphores, transactional memory, and non-blocking algorithms.
- Characterizing distributed computing models and determining what problems can be solved in a given model is an important area of research, with implications for distributed system design.
The document discusses weakly supervised learning from video and images using convolutional neural networks. It describes using scripts as weak supervision for learning actions from movies without explicit labeling. Methods are presented for jointly learning actors and actions from scripts, and for action learning with ordering constraints. The use of CNNs for object and action recognition in images is also summarized, including work on training CNNs using only image-level labels without bounding boxes.
This document discusses common C++ bugs and tools to find them. It describes various types of memory access bugs like buffer overflows on the stack, heap, and globals that can lead to crashes or security vulnerabilities. Threading bugs like data races, deadlocks, and race conditions on object destruction are also covered. Other undefined behaviors like initialization order issues, lack of sequence points, and integer overflows are explained. The document provides examples of each type of bug and emphasizes that undefined behavior does not guarantee a predictable result. It concludes with a quiz to find bugs in a code sample and links to additional reading materials.
AddressSanitizer, ThreadSanitizer, and MemorySanitizer are compiler-based tools that detect bugs like buffer overflows, data races, and uninitialized memory reads in C/C++ programs. AddressSanitizer instruments loads and stores to detect out-of-bounds memory accesses. ThreadSanitizer intercepts synchronization calls to detect data races between threads. MemorySanitizer tracks initialized and uninitialized memory using shadow memory to find uses of uninitialized values. The tools have found thousands of bugs with low overhead. Future work includes supporting more platforms and languages and detecting additional bug classes.
This document discusses common C++ bugs and tools to find them. It describes various types of memory access bugs like buffer overflows on the stack, heap, and globals that can lead to crashes or security vulnerabilities. Threading bugs like data races, deadlocks, and race conditions on object destruction are also covered. Other undefined behaviors like initialization order issues, lack of sequence points, and integer overflows are explained. The document provides examples of each type of bug and quizzes the reader to find bugs in a code sample. It recommends resources for further reading on debugging techniques and thread sanitizers that can detect races and data races.
This document provides examples and snippets of code for MapReduce, Pig, Hive, Spark, Shark, and Disco frameworks. It also includes two sections of references for related papers and Disco documentation. The examples demonstrate basic MapReduce jobs with drivers, mappers, and reducers in Java, Pig and Hive queries, Spark and Shark table operations, and a Disco MapReduce job.
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