Delve into the different ways of the current parallelism: TLP, DLP, and ILP, with all their features and secrets unraveled to the smallest detail”

Every computer scientist knows that success in their profession depends, to a large extent, on their own ability to adapt to a constantly changing environment. The evolution of processing in recent years, both in terms of hardware and software, has been remarkable. Supercomputers are becoming more powerful and faster, and anyone can have access to the cloud or to devices with parallel processing capabilities. 

This provides a significant advantage to computer scientists who are prepared and well-versed in Parallel and Distributed Computing. This applies to their own entrepreneurial software development projects as well as research and academic fields, where they can study new forms of processing and computational architectures. 

To begin exploring these topics, it is essential to have a strong and well-founded understanding of Parallel and Distributed Computing, particularly parallelisms and their various implementation forms. The computer scientists will delve into all these details and specific issues in 10 exhaustive topics, providing essential knowledge to delve into Parallel and Distributed Computing. 

The format program is 100% online, which means that there are no classes or established schedules. The students decide how to distribute the teaching load, which is a decisive advantage for balancing this degree with other personal and professional responsibilities. 

Get the career boost you're looking for and enroll in a program created by computer experts with a great reputation and a track record of success”

This Postgraduate certificate in Parallelism in Paralel and Distributed Computing 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 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 program incorporates 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 

Enroll today and seize the opportunity to deepen and modernize your knowledge in the technology of the present and future, Parallel and Distributed Computing”

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 learn about performance measures that govern parallel computing, as well as the most common networks and architectures”

Join the world's largest online academic institution, offering the best educational and technological resources right at your fingertips”

In order to facilitate the student's learning techniques, TECH incorporates the relearning pedagogical methodology in its programs. Thanks to this, computer scientists acquire the most important concepts of parallelism naturally and progressively, without having to make a significant investment in study hours. This allows them to allocate more time to other complementary activities in the program, enabling them to acquire much deeper knowledge in the fields of study. 

You will have access to a wide range of supplementary teaching materials, including videos created by the instructors themselves”

Module 1. Parallelism in Paralel and Distributed Computing

1.1. Parallel Processing:

1.1.1. Parallel Processing:
1.1.2. Parallel Processing in Computing. Purpose
1.1.3. Parallel Processing: Analysis

1.2. Parallel System

1.2.1. The Parallel System
1.2.2. Levels of Parallelism
1.2.3. Parallel System

1.3. Processor Architectures

1.3.1. Processor Complexity
1.3.2. Processor Architecture. Mode of Operation
1.3.3. Processor Architecture. Memory Organization

1.4. Networks in Parallel Processing

1.4.1. Mode of Operation
1.4.2. Control Strategy
1.4.3. Switching Techniques
1.4.4. Topology

1.5. Parallel Architectures

1.5.1. Algorithms
1.5.2. Coupling
1.5.3. Communication

1.6. Performance of Parallel Computing

1.6.1. Performance Evolution
1.6.2. Performance Measures
1.6.3. Parallel Computing Study Cases

1.7. Flynn's Taxonomy

1.7.1. MIMD: shared memory
1.7.2. MIMD: distributed memory
1.7.3. MIMD: Hybrid systems
1.7.4. Data Flow

1.8. Forms of Parallelism: TLP (Thread Level Paralelism)

1.8.1. Forms of Parallelism: TLP (Thread Level Paralelism)
1.8.2. Coarse grain
1.8.3. Fine grain
1.8.4. SMT

1.9. Forms of Parallelism: DLP (Data Level Paralelism)

1.9.1. Forms of Parallelism: DLP (Data Level Paralelism)
1.9.2. Short Vector Processing
1.9.3. Vector Processors

1.10. Forms of Parallelism: ILP (Instruction Level Paralelism)

1.10.1. Forms of Parallelism: ILP (Instruction Level Paralelism)
1.10.2. Segmented Processors
1.10.3. Superscalar Processor
1.10.4. Very Long Instruction Word (VLIW) Processor

The virtual classroom will be available 24 hours a day, and can be accessed from any device with an internet connection”