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High Performance Computing in Clouds
This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics cove...
Advances in Edge Computing: Massive Parallel Processing and Applications
The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge. Edge computing aims to alleviate the computational burden of the IoT for the Cloud by pushing some of the computations and logics of processing from the Cloud to the Edge of the Int...
High Performance Computing Systems
This book constitutes the refereed proceedings of the 19th Symposium on High Performance Computing System, WSCAD 2018, held in São Paulo, Brazil, in October 2018. The 12 revised full papers presented were carefully reviewed and selected out of 61 submissions. The papers included in this book are organized according to the following topics: cloud computing; performance; processors and memory architectures; power and energy.
Innovative Topologies and Algorithms for Neural Networks
The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved state-of-the-art applications in many fields, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks has been devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. This book gives significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications.
Code-Based Cryptography
This book constitutes the refereed and revised post-conference proceedings of the 7th International Workshop on Code-Based Cryptography, CBC 2019, held in Darmstadt, Germany, in May 2019. The eight papers presented in this book were carefully reviewed and selected from numerous submissions. These contributions are divided into two groups: The first four papers deal with the design of code-based cryptosystems, while the following four papers are on cryptanalysis of code-based cryptosystems.
Intelligent Systems
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis; Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.
Computer Architecture
This book constitutes the thoroughly refereed post-conference proceedings of the workshops held at the 37th International Symposium on Computer Architecture, ISCA 2010, in Saint-Malo, France, in June 2010. The 28 revised full papers presented were carefully reviewed and selected from the lectures given at 5 of these workshops. The papers address topics ranging from novel memory architectures to emerging application design and performance analysis and encompassed the following workshops: A4MMC, applications for multi- and many-cores; AMAS-BT, 3rd workshop on architectural and micro-architectural support for binary translation; EAMA, the 3rd Workshop for emerging applications and many-core architectures; WEED, 2nd Workshop on energy efficient design, as well as WIOSCA, the annual workshop on the interaction between operating systems and computer architecture.
Computer Architecture
Not since the 1980s has computer architecture been so exciting! This book captures the moment, mining the history of computing to teach key concepts in modern hardware design and introduce the neural and quantum architectures of the future. Computer Architecture is an in-depth exploration of the principles and designs that have shaped computer hardware through the ages, from counting devices like the abacus, to Babbage’s Difference Engine, to modern GPUs and the frontiers of quantum computing. This engaging blend of history, theory, hands-on exercises, and real-world examples is sure to make for an insightful romp through a fast-changing world. You won’t just read about computer architec...
Programming Languages
This book constitutes the proceedings of the 18th Brazilian Symposium on Programming Languages, SBLP 2014, held in Maceio, Brazil, in October 2014. The 11 full papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as program generation and transformation; programming paradigms and styles; formal semantics and theoretical foundations; program analysis and verification; programming language design and implementation.
High Performance Computing for Computational Science – VECPAR 2018
This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on High Performance Computing in Computational Science, VECPAR 2018, held in São Pedro, Brazil, in September 2018. The 17 full papers and one short paper included in this book were carefully reviewed and selected from 32 submissions presented at the conference. The papers cover the following topics: heterogeneous systems, shared memory systems and GPUs, and techniques including domain decomposition, scheduling and load balancing, with a strong focus on computational science applications.
