Thanks to this TECH postgraduate diploma, you can direct your career towards the most advanced computational research”

In parallel computing, it is essential for computer scientists to master the optimization of the various codes used. This allows them to extract maximum performance from the programming environment they are working with. To possess this ability, it is necessary to have not only knowledge of how to measure the performance of an algorithm or program but also a comprehensive understanding of how different computer systems communicate and coordinate. 

Therefore, this postgraduate diploma starts by laying the foundations of message-oriented communication, flows, multicast, and other forms of communication in parallel computing Following that, the postgraduate diploma delves into the most sophisticated methods for analyzing and programming parallel algorithms. The discussion concludes with a comprehensive review of  benchmarking  and the various considerations that need to be taken into account regarding parallel performance. 

All of these courses are conveniently offered in a 100% online format, eliminating the need for students to attend in-person classes or adhere to a pre-set schedule All the course content is available for download from the virtual classroom, enabling students to study conveniently from their preferred devices such as  tablets , computers, or even smartphones. This postgraduate diploma also offers a decisive advantage for individuals who have demanding personal or professional responsibilities. 

Immerse yourself in state-of-the-art programming and computational performance models, guided by true experts in the field”

This postgraduate diploma in Advanced Parallel 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 program is designed with graphical, schematic, and highly practical content, which gathers essential information about disciplines that are crucial for the professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• The incorporation of theoretical lessons, interactive question-and-answer sessions with experts, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will have at your disposal a large number of didactic and interactive resources that will help you to contextualize all the knowledge imparted"

The program features a teaching staff comprising professionals from the industry who bring their valuable work experience to the training. Additionally, renowned specialists from prestigious reference societies and universities contribute their expertise to further enrich the program. 

The program offers multimedia content developed using the latest educational technology, creating a contextual and immersive learning environment for professionals. This includes a simulated environment designed to provide training in real-life situations. 

The program's design emphasizes Problem-Based Learning, requiring professionals to actively solve various real-world practice situations that are presented to them throughout the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts. 

You have the freedom to choose when, where, and how to tackle the entire course load, allowing you to distribute the study material according to your own preferences and schedule"

You can achieve the career goal you deserve with the unwavering support of a teaching team that possesses in-depth knowledge of the job market and the strategies needed for success"

The main objective of this postgraduate diploma is to equip computer scientists with the most advanced tools and knowledge in the field of Parallel Computing. By completing this program, graduates will significantly enhance their prospects of securing high-level positions in projects that demand a specialized technical approach, such as those related to  big data, blockchain, or climate.  Thanks to the depth of the syllabus, students will have the opportunity to start improving their skills even before completing the program.

At TECH, we strive to make it effortless for you to achieve your most ambitious goals by offering the best possible lessons and teaching staff for studying Advanced Parallel Computing”

General Objectives

• Analyze  the different components of Parallel and Distributed Computing
• Measure and compare their efficiency to analyze the performance of the set of components used
• Analyze in depth Multiplatform Parallel Computing to use task-level parallelism between different hardware accelerators
• Analyze in detail current software and architectures 
• Develop in depth the relevant aspects of Parallel and Distributed Computing
• Specialize the student in the use of Parallel and Distributed Computing in different sectors

Specific Objectives

Module 1. Communication and Coordination in Computing Systems 

• Analyze the different architectures and models of distributed systems
• Determine the characteristics of parallel and distributed systems
• Delve into the different communications that occur at the process level 
• Examine remote, flow-oriented, message-oriented and multicast communications along with more recent examples and considerations 
• Establish the types of communications that are emerging, their strengths and limitations 
• Develop the processes to be followed in the choice of algorithms to be applied for name service, clock synchronization, coordination and agreement between the elements of the system 
• Compile scenarios using different types of communication technologies that improve performance and scalability

Module 2. Analysis and Programming of Parallel Algorithms 

• Analyze the different Parallel Programming paradigms
• Examine the most advanced tools to perform Parallel Programming
• Analyze parallel algorithms for fundamental problems 
• Specify the design and analysis of parallel algorithms 
• Develop parallel algorithms and implement them by using MPI, OpenMP, OpenCL/CUDA

Module 3. Parallel Performance 

• Analyze the aspects of parallel algorithms that affect their performance and scalability
• Establish the main performance and scalability metrics of parallel algorithms 
• Examine the main techniques for comparing parallel algorithms 
• Identify the constraints that hardware resources impose on Parallelization 
• In the program, you will learn the best practices for optimizing the performance of different types of parallel programs. This includes shared memory parallel programs, message passing parallel programs, hybrid parallel programs, and parallel programs with heterogeneous computation
• Compile state-of-the-art tools for analyzing the performance of parallel algorithms
• Introduce the main patterns of parallel processing 
• Specify a robust procedure for the definition of high-performance parallel programs

With our program, you will delve into the parallelization of processes and various communication methods from a modern perspective. The syllabus is regularly updated to ensure its alignment with the current market reality”