Tabla de Contenidos: “…Develop rail capacity to improve the route's throughput and sustainability -- Set up adequate environmental standards and incentives to develop a low-carbon transport offer -- References -- Notes -- 5 Effective implementation: strategic planning, private sector involvement and regional co-operation -- Regional dialogue on the Middle Corridor has intensified, but greater co-ordination will be needed to develop it -- A regional inter-governmental dialogue on an action plan to develop the route has started to formalise -- Collaboration between Middle Corridor countries is increasing but could be further improved -- Reform efforts also largely remain within the domestic scope -- At the national level, the lack of an integrated strategy and limited co-ordination between levels of government constrain reform -- Co-operation and co-ordination among various authorities, as well as between the public and private sectors at the national level, is still insufficient -- Public-private co-operation also remains at the margins and limits private sector involvement in the planning and financing of the route's development -- Public-private partnership frameworks for infrastructure financing and development exist, yet remain at an early stage of development -- Despite improved dialogue at the regional level, the private sector is largely excluded from strategic discussions about the route's development, at the national level -- Current infrastructure projects therefore remain mainly publicly financed, with limited interest from private investors -- Defining a co-ordination framework and building capacity for efficient and transparent planning to enhance regional co-operation -- Develop the institutional tools to support a common approach to the development of the Middle Corridor -- Set up a formal coordination framework for the Middle Corridor…”

“…This IBM Redbooks publication provides an overview of WebSphere Information Integrator Q replication, and provides guidelines for exploiting its high throughput, low latency, and other capabilities in the design and implementation of high-availability and high-performance distributed business solutions on the z/OS and AIX platforms. …”

Tabla de Contenidos: “…-- Exam FC0-U61 Exam Objectives -- FC0-U61 Certification Exam Objective Map -- How to Contact the Publisher -- Part I Domain 1.0: IT Concepts and Terminology -- Chapter 1 Notational Systems: Objective 1.1: Compare and contrast notational systems -- Storing Data -- Character Encoding -- Chapter 2 Data Types: Objective 1.2: Compare and contrast fundamental data types and their characteristics -- Data Types -- Chapter 3 Computing Basics: Objective 1.3: Illustrate the basics of computing and processing -- Computer Actions -- Chapter 4 Value of Data: Objective 1.4: Explain the value of data and information -- Data and Information -- Intellectual Property -- Securing Data -- Chapter 5 Units of Measure: Objective 1.5: Compare and contrast common units of measure -- Measuring Data Storage -- Measuring Data Throughput -- Measuring Processor Speed -- Chapter 6 Troubleshooting Methodology: Objective 1.6: Explain the troubleshooting methodology -- Troubleshooting Methodology -- Part II Domain 2.0: Infrastructure -- Chapter 7 Input/Output Device Interfaces: Objective 2.1: Classify common types of input/output device interfaces -- Network Interfaces -- Peripheral Interfaces -- Graphic Interfaces -- Chapter 8 Installing Peripherals: Objective 2.2: Given a scenario, set up and install common peripheral devices to a laptop/PC -- Peripheral Types -- Installing and Configuring Peripherals -- Chapter 9 Internal Computing Components: Objective 2.3: Explain the purpose of common internal computing components. -- CPU -- Motherboard -- Firmware -- Memory -- Disk Drives -- Network Interface Cards -- GPU -- Power and Cooling -- Chapter 10 Internet Service Types: Objective 2.4: Compare and contrast common Internet service types -- Service Types…”

Tabla de Contenidos: “…References -- Chapter 9: Advanced Training Concepts -- Evaluating and improving throughput -- Calculating model TFLOPS -- Using Flash Attention to speed up your training runs -- Speeding up your jobs with compilation -- Integrating compilation into your PyTorch scripts -- Amazon SageMaker Training Compiler and Neo -- Best practices for compilation -- Running compiled models on Amazon's Trainium and Inferentia custom hardware -- Solving for an optimal training time -- Summary -- References -- Part 4: Evaluate Your Model -- Chapter 10: Fine-Tuning and Evaluating -- Fine-tuning for language, text, and everything in between -- Fine-tuning a language-only model -- Fine-tuning vision-only models -- Fine-tuning vision-language models -- Evaluating foundation models -- Model evaluation metrics for vision -- Model evaluation metrics in language -- Model evaluation metrics in joint vision-language tasks -- Incorporating the human perspective with labeling through SageMaker Ground Truth -- Reinforcement learning from human feedback -- Summary -- References -- Chapter 11: Detecting, Mitigating, and Monitoring Bias -- Detecting bias in ML models -- Detecting bias in large vision and language models -- Mitigating bias in vision and language models -- Bias mitigation in language - counterfactual data augmentation and fair loss functions -- Bias mitigation in vision - reducing correlation dependencies and solving sampling issues -- Monitoring bias in ML models -- Detecting, mitigating, and monitoring bias with SageMaker Clarify -- Summary -- References -- Chapter 12: How to Deploy Your Model -- What is model deployment? …”

“…Database Cloud Storage: The Essential Guide to Oracle Automatic Storage Management shows how to monitor your system, maximize throughput, and ensure consistency across servers and clusters. …”

Tabla de Contenidos: “…First time yield (FTY) -- Illustration 3 -- Illustration 4 -- First time yield and z value -- Illustration 5 -- Layout for calculation -- Rolled throughput of a process -- Illustration 6 -- Illustration 7 -- Illustration 8 -- Illustration 9 -- Illustration 10 -- A note on m, opportunities for defects -- Sustainability of improvement -- First time yield and z value of a process chain -- Application of Six Sigma tool -- Illustration 11 -- Illustration 12 -- Illustration 13 -- Illustration 14 -- Assessment of cycle time -- Cycle time of inspection and testing (CT. …”

Tabla de Contenidos: “…Designing process automation by utilizing platform building blocks and data -- Creating repeatable and reusable patterns to ease implementation complexity -- Summary -- Chapter 8: Platform Team Processes, Standards, and Techniques -- Platform management and technical standards -- Setting standards to manage platform maintenance and risk -- Standards and tips to manage platform changes -- Operational processes and techniques of technical development -- Teams should manage the accuracy of their estimations and the consistency of their throughput -- Teams should use version control whenever possible and use it as a way of managing code review and quality control processes -- Summary -- Part 3 - From Success to Innovation -- Chapter 9: Effectively Operating ServiceNow -- The differences between operations and project work -- Establishing a platform strategy -- Who will be the platform's customers? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credit -- Dedicated -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Entering the World of the Internet of Things -- Chapter 1: Transforming to an IoT Business -- Understanding IoT technologies -- Leveraging IoT for digital transformation -- Monitoring and managing assets and inventory -- Increasing operational efficiencies and productivity -- Creating smart factories -- New business opportunities -- Improving the customer experience -- Understanding IoT markets -- Transportation -- Supply chain logistics -- Industrial and manufacturing -- Healthcare -- Energy/utilities -- Summary -- Chapter 2: Understanding IoT Devices and Architectures -- High-level IoT architecture -- The link layer -- The network layer -- The transport layer -- The application layer -- The data format -- The cellular IoT network architecture -- The UE -- eNodeB -- EPC -- An overview of IoT device types and use cases -- Serial modems -- Routers -- Gateways -- Remote monitoring devices -- Asset trackers -- Best practices -- Leveraging off-the-shelf technology components -- Leveraging established IoT technology partners -- Planning on solution life cycle management -- Slow and steady wins the race -- Security is paramount -- Summary -- Chapter 3: Introducing IoT Wireless Technologies -- Licensed versus unlicensed technologies -- Network topologies -- WWAN and WLAN IoT technologies -- Bluetooth/BLE -- Wi-Fi -- LoRa and LoRaWAN -- LR-WPAN (IEEE 802.15.4) -- Technical and cost comparisons -- Frequency spectrum -- Range -- Power consumption -- Data throughput -- Module cost -- Wireless technology use cases -- Bluetooth/BLE -- Wi-Fi -- LoRa -- LR-WPAN -- Best practices in deploying IoT wireless technologies -- 1. …”

Tabla de Contenidos: “…Communication bottlenecks in data parallel training -- Analyzing the communication workloads -- Parameter server architecture -- The All-Reduce architecture -- The inefficiency of state-of-the-art communication schemes -- Leveraging idle links and host resources -- Tree All-Reduce -- Hybrid data transfer over PCIe and NVLink -- On-device memory bottlenecks -- Recomputation and quantization -- Recomputation -- Quantization -- Summary -- Section 2 - Model Parallelism -- Chapter 5: Splitting the Model -- Technical requirements -- Single-node training error - out of memory -- Fine-tuning BERT on a single GPU -- Trying to pack a giant model inside one state-of-the-art GPU -- ELMo, BERT, and GPT -- Basic concepts -- RNN -- ELMo -- BERT -- GPT -- Pre-training and fine-tuning -- State-of-the-art hardware -- P100, V100, and DGX-1 -- NVLink -- A100 and DGX-2 -- NVSwitch -- Summary -- Chapter 6: Pipeline Input and Layer Split -- Vanilla model parallelism is inefficient -- Forward propagation -- Backward propagation -- GPU idle time between forward and backward propagation -- Pipeline input -- Pros and cons of pipeline parallelism -- Advantages of pipeline parallelism -- Disadvantages of pipeline parallelism -- Layer split -- Notes on intra-layer model parallelism -- Summary -- Chapter 7: Implementing Model Parallel Training and Serving Workflows -- Technical requirements -- Wrapping up the whole model parallelism pipeline -- A model parallel training overview -- Implementing a model parallel training pipeline -- Specifying communication protocol among GPUs -- Model parallel serving -- Fine-tuning transformers -- Hyperparameter tuning in model parallelism -- Balancing the workload among GPUs -- Enabling/disabling pipeline parallelism -- NLP model serving -- Summary -- Chapter 8: Achieving Higher Throughput and Lower Latency -- Technical requirements…”

“… Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. …”

Tabla de Contenidos: “…-- Using Intel MPI Library -- Using Intel Composer XE -- Tuning Intel MPI Library -- Gather Built-in Statistics -- Optimize Process Placement -- Optimize Thread Placement -- Tuning Intel Composer XE -- Analyze Optimization and Vectorization Reports -- Use Interprocedural Optimization -- Summary -- References -- Chapter 2: Overview of Platform Architectures -- Performance Metrics and Targets -- Latency, Throughput, Energy, and Power -- Peak Performance as the Ultimate Limit -- Scalability and Maximum Parallel Speedup -- Bottlenecks and a Bit of Queuing Theory -- Roofline Model -- Performance Features of Computer Architectures -- Increasing Single-Threaded Performance: Where You Can and Cannot Help -- Process More Data with SIMD Parallelism -- Distributed and Shared Memory Systems -- Use More Independent Threads on the Same Node -- Don't Limit Yourself to a Single Server -- HPC Hardware Architecture Overview -- A Multicore Workstation or a Server Compute Node -- Coprocessor for Highly Parallel Applications -- Group of Similar Nodes Form an HPC Cluster -- Other Important Components of HPC Systems -- Summary -- References -- Chapter 3: Top-Down Software Optimization -- The Three Levels and Their Impact on Performance -- System Level -- Application Level -- Working Against the Memory Wall -- The Magic of Vectors -- Distributed Memory Parallelization -- Shared Memory Parallelization -- Other Existing Approaches and Methods -- Microarchitecture Level -- Addressing Pipelines and Execution -- Closed-Loop Methodology -- Workload, Application, and Baseline -- Iterating the Optimization Process -- Summary -- References -- Chapter 4: Addressing System Bottlenecks…”

“…Introduces advanced high-capacity data encoding and throughput improvement techniques for fully printable multi-bit Chipless RFID tags and reader systems The book proposes new approaches to chipless RFID tag encoding and tag detection that supersede their predecessors in signal processing, tag design, and reader architectures. …”

Tabla de Contenidos: “…-- Data model concepts -- Operations -- Table operations -- Item operations -- The Query and Scan operations -- Provisioned throughput -- DynamoDB features -- Fully managed -- Durable -- Scalable -- Fast -- Simple administration -- Fault tolerance -- Flexible -- Indexing -- Secure -- Cost effective -- How do I get started? …”

Tabla de Contenidos: “…Online Analytic Processing -- Amazon Relational Database Service -- Database Engines -- Licensing Considerations -- Database Option Groups -- Database Instance Classes -- Storage -- Read Replicas -- High Availability (Multi-AZ) -- Single-Master -- Multi-Master -- Backup and Recovery -- Automated Snapshots -- Maintenance Items -- Amazon RDS Proxy -- Amazon Redshift -- Compute Nodes -- Data Distribution Styles -- Redshift Spectrum -- AWS Database Migration Service -- Nonrelational (NoSQL) Databases -- Storing Data -- Querying Data -- Types of Nonrelational Databases -- DynamoDB -- Partition and Hash Keys -- Attributes and Items -- Throughput Capacity -- Reading Data -- Global Tables -- Backups -- Summary -- Exam Essentials -- Review Questions -- Chapter 6 Authentication and Authorization-AWS Identity and Access Management -- Introduction -- IAM Identities -- IAM Policies -- User and Root Accounts -- Access Keys -- Groups -- Roles -- Authentication Tools -- Amazon Cognito -- AWS Managed Microsoft AD -- AWS Single Sign-On -- AWS Key Management Service -- AWS Secrets Manager -- AWS CloudHSM -- AWS Resource Access Manager (AWS RAM) -- AWS CLI Example -- Summary -- Exam Essentials -- Review Questions -- Chapter 7 CloudTrail, CloudWatch, and AWS Config -- Introduction -- CloudTrail -- Management Events -- Data Events -- Event History -- Trails -- Log File Integrity Validation -- CloudWatch -- CloudWatch Metrics -- Graphing Metrics -- Metric Math -- CloudWatch Logs -- CloudWatch Alarms -- Amazon EventBridge -- AWS Config -- The Configuration Recorder -- Configuration Items -- Configuration History -- Configuration Snapshots…”

Tabla de Contenidos: “…Configuring an exchange -- Configuring a binding -- Configuring RabbitAdmin -- Configuring a message converter -- Creating a RabbitTemplate -- Configuring a listener container -- Creating a message receiver -- Creating a message producer -- Maximizing throughput with RabbitMQ -- Performance and scalability with RabbitMQ -- Summary -- Chapter 8: Multithreading and Concurrent Programming -- Java classical threads -- Creating threads -- Thread life cycle and states -- More advanced thread tasks -- Synchronizing threads -- Issues with multithreading -- The java.util.concurrent package -- Executors -- ThreadFactory -- Synchronizers -- Concurrent collection classes -- Lock -- Callable and Future -- Atomic variables -- Using thread pools for asynchronous processing -- Spring task execution and scheduling -- TaskExecutor -- TaskScheduler -- Spring Async -- The @EnableAsync annotation -- The @Async annotation -- @Async with CompletableFuture -- Spring and threads - transactions -- Java threads best programming practices -- Summary -- Chapter 9: Profiling and Logging -- Performance profiling -- Application performance -- Application logging and monitoring -- Application logging -- Logging best practices -- Logging tools -- Java standard logging -- Apache Log4j 2 -- Application monitoring -- Stagemonitor -- Pinpoint -- MoSKito -- Glowroot -- New Relic -- Profiling tools -- VisualVM -- JConsole -- Summary -- Chapter 10: Application Performance Optimization -- Performance issue symptoms -- Timeouts -- Running out of worker threads -- Threads waiting on class loaders -- Time spent on class-loading activities -- Class loader trying to load non-existent classes -- Performance tuning life cycle -- Connection pooling -- Hibernate -- Transaction -- Periodical clearing of Hibernate sessions -- Lazy initialization -- Constructor-based HQLs -- Entity and query caching…”

Tabla de Contenidos: “…Performance and concurrency -- Managing the database -- Provisioned throughput -- Auto scaling -- Backing up and restoring data -- Controlling user access -- Improving the serverless store -- Retrieving all products -- Retrieving the user's shopping cart -- Saving the user's shopping cart -- Processing the checkout -- Amazon S3 (for media files) -- Uploading and downloading files -- Enabling CORS -- Backing up and restoring data -- Using S3 versioning -- Summary -- Chapter 8: Securing the Serverless Application -- Security basics -- Information security -- Authentication -- Authorization -- Confidentiality -- Integrity -- Non-repudiation -- Availability -- Security on AWS -- Shared responsibility model -- The Trusted Advisor tool -- Pen testing -- AWS CloudTrail -- MFA -- Handling authentication and authorization -- Amazon Cognito -- Creating a user pool -- Creating an identity pool -- Using Cognito in our serverless store -- The Signup page -- The Login page -- Persisting the user token -- Logging out -- Handling authentication in Lambda functions -- Summary -- Chapter 9: Handling Serverless Notifications -- AWS IoT -- Protocols -- Finding the IoT endpoint -- AWS IoT SDK -- Implementing serverless notifications -- Public notifications -- Adding a comment box -- Updating the list of comments -- Creating a new instance of the IoT SDK -- Sending and receiving new comments -- Triggering a Lambda function with IoT -- Private notifications -- Using credentials of an authenticated user -- Updating the logout feature -- Creating an IoT policy -- Attaching an IoT policy and connecting -- Passing the Cognito Identity to the Lambda function -- Sending IoT messages with Lambda -- Summary -- Chapter 10: Testing, Deploying, and Monitoring -- Testing your solution -- Unit testing Lambda functions -- Mocking external services -- Using Sinon.JS for mocking…”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Part 1: Understanding IoT Fundamentals -- Chapter 1: IoT Essentials, All You Should Know -- The evolving definition of IoT -- Deployed from fixed to mobility -- Mobility from a local area to a wide area -- Presence from city to barren fields -- Throughput from Mb/s to Gb/s -- Battery life from days to years -- Networking from point-to-point and point-to-multipoint to mesh and star topologies -- Intelligence at edge node -- AI and ML -- Addressable markets -- Residential -- Commercial and business -- Neighborhood and campus -- Cities -- Rural areas -- Industries -- How IoT impacts us -- Living comfort and safety improvement -- Operational efficiency improvement -- Environmental protection improvement -- Industrial productivity improvement -- Summary -- Further reading -- Chapter 2: IoT Network, the Neural System of Things -- IoT networks at home -- Home Wi-Fi -- BLE -- Thread -- IoT networks on campuses and in buildings -- Enterprise Wi-Fi -- Thread mesh -- Private LoRaWAN network -- No one-size-fits-all approach -- IoT networks in cities -- Cellular network -- Public LoRaWAN network -- IoT networks in rural areas -- Private LoRaWAN network -- LEO network -- Summary -- Chapter 3: IoT End Devices, the Neuron Cells of an IoT System -- Device types -- Installing indoors versus outdoors -- Powering via external supply versus batteries -- Connected by wire versus wireless -- The need for edge computing -- Hardware architecture -- MCUs -- Roles -- Key features -- Critical components -- Off-the-shelf MCU -- DIY-friendly MCU -- Peripherals and interfaces -- GPIO -- SPI -- I2C -- UART -- USB -- SDIO -- ADCs -- DACs -- PWM outputs -- JTAG -- Timers -- Real-time clock -- Sensors and actuators -- Sensors -- Actuators -- Common pins on sensors -- Understanding sensor specifications…”

Tabla de Contenidos: “…6.4.3 Tools and administration -- 6.5 Acquisition of new companies -- 6.6 Consolidation -- 6.6.1 Consolidation via new business acquisition -- 6.6.2 Server consolidation -- 6.7 Development or augmentation of BI systems -- 6.7.1 Preliminary sizing estimate and capacity planning for growth -- 6.7.2 Data movement into the BI system -- 6.7.3 Availability -- 6.7.4 Scalability -- 6.7.5 Systems management -- 6.7.6 Parallelism -- 6.7.7 Query performance and throughput -- 6.7.8 Database support skills -- 6.7.9 Conclusions for BI systems on z/OS -- 6.8 Customer growth -- 6.9 Requirement for storing new data types -- 6.10 DB2 Query Management Facility -- 6.10.1 DB2 QMF components -- 6.10.2 More on Visionary -- 6.11 Summary -- Chapter 7. …”

Tabla de Contenidos: “…3.6.1 Image Formats, Containers, and Compression Standards -- 3.7 Speech and Audio Coding -- 3.8 Shannon-Fano Coding -- 3.9 Human Coding -- 3.10 Arithmetic Coding -- 3.11 Lempel-Ziv-Welch Coding -- 3.12 Run-length Encoding -- 3.13 MPEG Audio and Video Coding Standards -- 3.14 Psychoacoustic Model of Human Hearing -- 3.14.1 The Masking Phenomenon -- 3.14.2 Temporal Masking -- 3.14.3 Perceptual Coding in MPEG Audio -- 3.15 Dolby -- 3.16 Linear Predictive Coding Model -- 3.17 Solved Problems -- Multiple Choice Questions -- Review Questions -- Part B: Error Control Coding -- Chapter 4: Coding Theory -- 4.1 Introduction -- 4.2 Types of Codes -- 4.2.1 Code Rate -- 4.3 Types of Errors -- 4.4 Error Control Strategies -- 4.4.1 Throughput Efficiency of ARQ -- 4.5 Mathematical Fundamentals -- 4.5.1 Modular Arithmetic -- 4.5.2 Sets -- 4.5.3 Groups -- 4.5.4 Fields -- 4.5.5 Arithmetic of Binary Field -- 4.5.6 Roots of Equations -- 4.5.7 Galois Field -- 4.6 Vector Spaces -- 4.6.1 Subspace -- 4.6.2 Linear Combination -- 4.6.3 Basis (or Base) -- 4.6.4 Dimension -- 4.6.5 Orthogonality -- 4.6.6 Dual Space -- 4.7 Matrices -- 4.7.1 Row Space -- 4.8 Solved Problems -- Multiple Choice Questions -- Review Questions -- Chapter 5: Linear Block Codes -- 5.1 Introduction -- 5.2 Generator Matrices -- 5.3 Parity-Check Matrices -- 5.3.1 Dual Code -- 5.4 Error Syndrome -- 5.4.1 Undetectable Error Pattern -- 5.5 Error Detection -- 5.6 Minimum Distance -- 5.7 Error-detecting Capability -- 5.8 Error-correcting Capability -- 5.9 Standard Array and Syndrome Decoding -- 5.9.1 Coset and Coset Leader -- 5.10 Probability of Undetected Errors Over a BSC -- 5.11 Hamming Code -- 5.12 Solved Problems -- Multiple Choice Questions -- Review Questions -- Chapter 6: Cyclic Codes -- 6.1 Introduction -- 6.2 Generation -- 6.2.1 Generation and Parity-check Matrices -- 6.2.2 Realization of Cyclic Code…”

Tabla de Contenidos: “…Introduction -- 1.1 The financial services landscape -- 1.2 A business viewpoint -- 1.3 Concept -- 1.3.1 Message broker -- 1.3.2 WebSphere BI for FN terminology -- 1.4 Architecture -- 1.4.1 Extension for SWIFTNet -- 1.4.2 Bridge for SWIFTNet (BSN) -- 1.4.3 SWIFTAlliance Gateway (SAG) -- 1.4.4 MERVA -- 1.4.5 Routing a FIN message -- 1.4.6 SWIFTNet FIN support -- 1.5 A systems programmer's viewpoint -- 1.5.1 Overview of the software infrastructure -- 1.5.2 z/OS components -- 1.5.3 WebSphere MQ components -- 1.5.4 DB2 and XML extensions -- 1.5.5 Software requirements for run-time system -- 1.6 Configuration considerations -- 1.6.1 High availability -- 1.6.2 Security -- 1.6.3 Message throughput -- Part 2 Installation and operations -- Chapter 2. …”