By enrolling in this program, you will have the opportunity to cultivate expertise in parallel decomposition, with instruction provided by esteemed computer scientists and engineers” 

The availability of new programming tools and libraries has created a favorable entrepreneurial environment for computer scientists. Now, even smaller and specialized teams can undertake projects that were once complex and expensive. 

Among the various domains, Parallel and Distributed Computing stands out prominently. Practically, the majority of programs and hardware are governed by this new computational model, which has become the prevailing standard. Computer scientists must be adequately prepared to utilize cutting-edge parallel decomposition tools, as this proficiency will significantly enhance their working conditions and propel their career trajectory forward. 

This Diploma serves as an excellent starting point for delving deeper into parallel decomposition, covering a comprehensive agenda that encompasses common parallel hardware and software, graphics processing units, hybrid parallelization utilizing MPI and OpenMP, as well as computation with MapReduce. 

Furthermore, this program is offered in a fully online format, enabling you to seamlessly balance your educational pursuits with other professional or personal commitments. Right from the first day of the degree program, the complete syllabus is downloadable, granting students the freedom to proceed with the course load at their own preferred pace. 

Delve into different scenarios of Parallel Computing such as data mining or audio and image processing”

This Postgraduate certificate in Parallel Decomposition 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 

Incorporating this certificate into your resume will provide a substantial boost to your career”

The teaching staff of the program consists of professionals from the industry who bring their valuable work experience to the table. Additionally, renowned specialists from leading societies and prestigious universities contribute their expertise to enrich the program.

The program's multimedia content, created using state-of-the-art educational technology, enables professionals to learn in a contextual and situated learning environment. This simulated environment offers immersive education specifically designed to prepare individuals for real-world 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 will have the opportunity to learn about the foremost parallel decomposition systems from esteemed computer science professionals"

At TECH, you have the autonomy to make crucial decisions, such as determining when, where, and how to undertake the entire teaching load"

Relearning, a pedagogical methodology in which TECH is a pioneer, helps computer scientists save crucial time in the study process. By reiterating the most important concepts throughout the course, students naturally and progressively acquire all the expected knowledge. The availability of a substantial amount of complementary material further strengthens the position of this certificate as a preferred academic option for those seeking to delve deeper into parallel decomposition. 

You will have access to detailed videos, summaries, and audiovisual content created by the professors themselves” 

Module 1. Parallel Decomposition in Parallel and Distributed Computing 

1.1. Parallel Decomposition 

1.1.1. Parallel Processing
1.1.2. Architecture 
1.1.3. Supercomputers 

1.2. Parallel Hardware and Parallel Software 

1.2.1. Serial Systems 
1.2.2. Parallel Hardware 
1.2.3. Parallel Software 
1.2.4. Input and Output 
1.2.5. Performance 

1.3. Parallel Scalability and Recurring Performance Issues 

1.3.1. Parallelism 
1.3.2. Parallel Scalability 
1.3.3. Recurring Performance Issues 

1.4. Shared Memory Parallelism 

1.4.1. Shared Memory Parallelism 
1.4.2. OpenMP and Pthreads 
1.4.3. Shared Memory Parallelism Examples

1.5. Graphics Processing Unit (GPU) 

1.5.1. Graphics Processing Unit (GPU) 
1.5.2. Computational Unified Device Architecture (CUDA) 
1.5.3. Unified Computational Device Architecture (CUDA). Examples

1.6. Message Passing Systems 

1.6.1. Message Passing Systems 
1.6.2. MPI. Message Passing Interface 
1.6.3. Message Passing Systems. Examples

1.7. Hybrid Parallelization with MPI and OpenMP 

1.7.1. Hybrid Programming 
1.7.2. MPI/OpenMP Programming Models 
1.7.3. Hybrid Decomposition and Mapping 

1.8. MapReduce Computing 

1.8.1. Hadoop 
1.8.2. Other Computing Systems 
1.8.3. Parallel Computing Examples

1.9. Model of Actors and Reactive Processes 

1.9.1. Stakeholder Model 
1.9.2. Reactive Processes 
1.9.3. Actors and Reactive Processes. Examples

1.10. Parallel Computing Scenarios 

1.10.1. Audio and image processing 
1.10.2. Statistics/Data Mining 
1.10.3. Parallel Sorting 
1.10.4. Parallel Matrix Operations  

Real-life case studies will enhance your understanding of all the advanced topics covered in the Diploma, providing practical insights into their application”