Stay updated on the latest advancements in Parallel and Distributed Computing, encompassing both theoretical and practical aspects, including parallel decomposition”

The cloud has significantly expanded the possibilities in the realm of computing, particularly in the context of Parallel Computing. It has substantially decreased the cost of required services while simultaneously augmenting the available capacity. The combination of these factors, along with the emergence of new programming tools, has made Parallel and Distributed Computing accessible to ambitious computer scientists. 

Whether the objective is to tackle projects of varying sizes or engage in computational research, this postgraduate diploma presents the most vital knowledge about Parallel and Distributed Computing in a convenient and accessible format, essential for every computer scientist. 

All of this is delivered in a 100% online format, eliminating the need for face-to-face classes and fixed schedules. The entire program is available for students to download and they will be the ones to decide when to take on the full course load. The virtual classroom is accessible 24 hours a day, offering unparalleled flexibility for students to balance this postgraduate diploma with their other professional or personal responsibilities. 

Redirect your career towards advanced programming or even computational academic research environments by enrolling in this program”

This postgraduate diploma in Parallel and Distributed Computing contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Parallel and Distributed Computing
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice 
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions for experts and individual reflection work 
• Content that is accessible from any fixed or portable device with an Internet connection 

You will delve into various forms of application of Parallel and Distributed Computing, including blockchain, databases, and distributed systems in the field of medicine”

The program’s teaching staff includes professionals from sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed using the latest educational technology, enables professionals to learn in a contextual and situated learning environment. This simulated environment provides immersive education, specifically designed to prepare individuals for real-life situations.

The program is designed with a focus on Problem-Based Learning, where professionals are required to solve various professional practice situations that are presented to them throughout the academic year. To facilitate this process, the students will receive assistance through an innovative interactive video system developed by renowned and experienced experts in the field.

Indeed, this program will provide the necessary quality boost to your CV, enabling your career to reach new heights”

You will have access to a comprehensive library of diverse multimedia resources, including videos created by the instructors”

TECH's program in Parallel and Distributed Computing aims to equip computer scientists with both fundamental and cutting-edge knowledge in the field. Through its unique emphasis on contemporary computational theory and the latest industry developments, this postgraduate diploma will empower students to advance into positions of greater responsibility within the IT sector.

Your professional goals and TECH's are aligned, so you will find the greatest support throughout the entire program”

General Objectives

• Analyze the difference between the Parallel and Distributed Computing components
• Measure and compare its development to analyze the performance of the different components
• In-depth analysis of cross-platform parallel computing to use task-level parallelism between different hardware accelerators 
• Analyze in detail current software and architectures 
• Develop in-depth the most relevant aspects of Parallel and Distributed Computing
• Specialize the students in the use of Parallel and Distributed Computing and its application in different industry sectors

Specific Objectives

Module 1. Parallel Decomposition in Parallel and Distributed Computing 

• Analyze the importance of Parallel Decomposition of Processes in Computational Problem Solving
• Examine different examples to demonstrate the application and use of computation and its Parallel Decomposition
• Expose procedures and tools that allow the execution of parallel processes, seeking to obtain the best possible performance
• Develop specialized knowledge to identify parallel process decomposition scenarios and choose and apply the appropriate tool

Module 2. Parallel Computing applied to  cloud  environments

• Developing the Cloud Computing Paradigm
• Identify the different approaches based on the degree of Automation and Service 
• Analyze the main pieces of a cloud architecture
• Establishing the differences with an On-Premise Architecture
• Analyze the different Cloud Deployment options: Multi-Cloud, Hybrid Cloud
• Deepen the benefits inherent to Cloud Computing
• Develop the Cloud Computing economic principles: The transition from CAPEX to OPEX
• Evaluate the commercial offers from different suppliers
• Evaluate the capabilities of Supercomputing in the Cloud
• Examine Security in Cloud Computing

Module 3. Parallel and Distributed Computing Applications

• Demonstrate the significant contributions of parallel and distributed computing applications to our environment
• Determine the reference architectures in the market
• Evaluate the benefits of the study cases
• Introduce successful solutions to the market
• Demonstrate why it is important to evaluate the climate change
• Determine the current importance of GPUs
• Present the impact of this technology on power grids
• Explore distributed engines to serve our customers
• Learn about the benefits of distributed engines to bring advantages to our companies
• Present examples of In-Memory Databases and their importance

TECH's advanced teaching methodology ensures that you can integrate the knowledge you acquire into your daily practice even before completing the degree”