Materias:

Materias:

“…Power converters have progressively become the most efficient and attractive solution in recent decades in many industrial sectors, ranging from electric mobility, aerospace applications to attain better electric aircraft concepts, vast renewable energy resource integration in the transmission and distribution grid, the design of smart and efficient energy management systems, the usage of energy storage systems, and the achievement of smart grid paradigm development, among others.In order to achieve efficient solutions in this wide energy scenario, over the past few decades, considerable attention has been paid by the academia and industry in order to develop new methods to achieve power systems with maximum harmonic performance aiming for two main targets. On the one hand, the high-performance harmonic performance of power systems would lead to improvements in their power density, size and weight. …”

“…In this interview, Ally MacDonald talks to Guillermo Esteves about how companies can make the shift to being "performance-first" at both a technical and organizational level. …”

“…In this interview, Ally MacDonald talks to Todd DeCapua about how companies can make the shift to being "performance-first" at both a technical and organizational level. …”

“…In this interview, Ally MacDonald talks to Jim Pierson about how companies can make the shift to being "performance-first" at both a technical and organizational level. …”

“…In this interview, Ally MacDonald talks to Tom Barker about how companies can make the shift to being "performance-first" at both a technical and organizational level. …”

“…How educational resources are allocated is just as important as the amount of resources available. High-performing countries and economies tend to allocate resources more equitably across socio-economically advantaged and disadvantaged schools. …”

Materias: “…Performance Software Engineering ModellierungPerformance Engineering Software Modeling…”

“…Section 1 What This Digital Short Cut Will Cover Section 2 Understanding the Tools Used in an AD Health Check Section 3 Performing an AD Health Check Section 4 Interpreting the Data from AD Health Check Tools Section 5 Fixing Common Problems Found in AD Health Checks Section 6 Other Resources Section 7 Appendix…”

Materias:

Tabla de Contenidos: “…Front Cover; Intel® Xeon PhiTM Coprocessor High-Performance Programming; Copyright Page; Contents; Foreword; Preface; Organization; Lots-of-cores.com; Acknowledgements; 1 Introduction; Trend: more parallelism; Why Intel® Xeon PhiTM coprocessors are needed; Platforms with coprocessors; The first Intel® Xeon PhiTM coprocessor; Keeping the "Ninja Gap" under control; Transforming-and-tuning double advantage; When to use an Intel® Xeon PhiTM coprocessor; Maximizing performance on processors first; Why scaling past one hundred threads is so important; Maximizing parallel program performance…”

Tabla de Contenidos: “…SQL Query Performance Tuning -- System Performance Analysis -- SQL Query Performance Analysis -- Index Analysis -- Database Engine Tuning Advisor -- Bookmark Lookup Analysis -- Statistics Analysis -- Fragmentation Analysis -- Execution Plan Cache Analysis -- Stored Procedure Recompilation -- Query Design Analysis -- Blocking Analysis -- Deadlock Analysis -- Cursor Cost Analysis -- Database Workload Optimization -- SQL Server Optimization Checklist…”

Materias:

Materias:

“…Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm…”