With the knowledge and tools provided by this Diploma, you can elevate your professional career to unprecedented heights, unlocking remarkable opportunities for growth and success”

The development of new software parallelization algorithms necessitates computer scientists who possess extensive training and specialized expertise in their analysis and programming techniques. Moreover, there is a significant amount of work involved in adapting existing algorithms to the new capabilities of different hardware, which is why this field is currently booming. 

The essential knowledge that computer science professionals need to specialize in this field encompasses a comprehensive understanding of Parallel Programming Paradigms, key parallel algorithms, and the prevalent tools utilized in their programming. 

This Diploma delves into all these aspects and further expands them with dedicated topics on OpenMP, MPI, Shared Memory Parallel Programming, as well as OpenCL and CUDA, among other relevant subjects. These topics are invaluable for any IT professional seeking to specialize in Parallel Computing. 

The online format of the program facilitates the integration of various activities and personal responsibilities. There are no in-person classes or rigid schedules in this program. Instead, all the educational materials for the certificate are available for download from the very beginning.  The students have the freedom to adapt the course load to their own pace. 

At TECH, you won't have to attend in-person classes or adhere to fixed schedules. You will be the one who decides the schedule and when to study each topic”

This Postgraduate certificate in Analysis and Programming of Parallel Algorithms contains the most complete and up-to-date program on the market. The most important features include:

• The program includes the development of case studies presented by experts in Parallel and Distributed Computing
• The program is designed with graphic, schematic, and highly practical content, providing essential information on disciplines that are crucial for professional practice. These practical resources offer valuable insights and skills relevant to real-world applications
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• The program incorporates theoretical lessons, interactive question-and-answer sessions with experts, and individual reflection assignments
• Participants have the convenience of accessing the program's contents from any fixed or portable device with an internet connection

Leveraging the support of TECH, the world's largest online academic institution, which provides you with the most innovative educational and technological resources”

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 is designed with a focus on problem-based learning, where professionals are tasked with solving various real-life professional practice situations that arise throughout the academic year.  For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

Uncover the intriguing secrets and advantages of parallel programming and incorporate them into your daily work to differentiate yourself from the competition"

Achieve access to the cutting-edge Parallel Algorithm Design, equipped with extensive expertise in OpenCL, CUDA, and OpenMP"

By incorporating the  relearning  into this degree, students guarantee a progressive and organic learning experience of the essential terms and concepts related to parallel algorithm programming. The program offers a wide array of educational materials, including real-life examples provided by the teaching team. This comprehensive range of resources contributes to an exceptional academic program that is rigorous, comprehensive, and specifically designed to align with the current IT landscape. 

The detailed videos, video summaries, and other audiovisual materials will greatly help you alleviate the academic workload of the entire syllabus”

Module 1. Analysis and Programming of Parallel Algorithms

1.1. Parallel Algorithms

1.1.1. Problem Decomposition
1.1.2. Data Dependencies
1.1.3. Implicit and Explicit Parallelism

1.2. Parallel Programming Paradigms

1.2.1. Parallel Programming with Shared Memory
1.2.2. Parallel Programming with Distributed Memory
1.2.3. Hybrid Parallel Programming
1.2.4. Heterogeneous Computing- CPU + GPU
1.2.5. Quantum Computing New Programming Models with Implicit Parallelism.

1.3. Parallel Programming with Shared Memory

1.3.1. Models of Parallel Programming with Shared Memory.
1.3.2. Parallel Algorithms with Shared Memory
1.3.3. Libraries for Parallel Programming with Shared Memory

1.4. OpenMP

1.4.1. OpenMP
1.4.2. Running and Debugging Programs with OpenMP
1.4.3. Parallel Algorithms with Shared Memory in OpenMP

1.5. Parallel Programming by Message Passing

1.5.1. Message Passing Primitives
1.5.2. Communication Operations and Collective Computing
1.5.3. Parallel Message-Passing Algorithms
1.5.4. Libraries for Parallel Programming with Message Passing

1.6. Message Passing Interface (MPI)

1.6.1. Message Passing Interface (MPI)
1.6.2. Execution and Debugging of Programs with MPI
1.6.3. Parallel Message Passing Algorithms with MPI

1.7. Hybrid Parallel Programming

1.7.1. Hybrid Parallel Programming
1.7.2. Execution and Debugging of Hybrid Parallel Programs
1.7.3. MPI-OpenMP Hybrid Parallel Algorithms

1.8. Parallel Programming with Heterogeneous Computing

1.8.1. Parallel Programming with Heterogeneous Computing
1.8.2. AIH vs. GPU
1.8.3. Parallel Algorithms with Heterogeneous Computing

1.9. OpenCL and CUDA

1.9.1. OpenCL vs. CUDA
1.9.2. Executing and Debugging Parallel Programs with Heterogeneous Computing
1.9.3. Parallel Algorithms with Heterogeneous Computing

1.10. Design of Parallel Algorithms

1.10.1. Design of Parallel Algorithms
1.10.2. Problem and Context
1.10.3. Automatic Parallelization vs. Manual Parallelization
1.10.4. Problem 

You will find complementary readings and practical exercises for each of the topics provided"