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C Programming For Beginners | Learn C Programming | C Tutorial For Beginners | Edureka
🔥 Edureka C Programming Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") 🔥 Edureka Computer Science Bootcamp
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High Performance Scientific Computing with C 2.2: Algorithm Complexity and Performance
How does the design of our programs affect their speed and accuracy? • Learn about floating-point round-off error • Learn about computational complexity • Examine the divide-and-conquer design approach
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High Performance Scientific Computing with C 1.2: Introduction – Why Use Computers for Math?
Why is the history of computation so tied with mathematics? How are computers used today to solve mathematical problems?
• Understand the need for computers to solve mathematical pro
blems
• Understand the problems for which...
• Understand the need for computers to solve mathematical pro
blems
• Understand the problems for which...
Curated Video
High Performance Scientific Computing with C 4.1: Parallel Architectures, Amdahl's Law, and Gustafson’s Law
How can we extend our programs to use multiple cores? Why would we want to? What limitations might exist?
• Learn the different kinds of parallel architec
tures
• Learn about strong scaling and Am
dahl’s law
• Learn about...
• Learn the different kinds of parallel architec
tures
• Learn about strong scaling and Am
dahl’s law
• Learn about...
Curated Video
High Performance Scientific Computing with C 2.4: Compiler Optimizations
How can we use the compiler to automatically speed up our programs?<br/>
• Learn about the basic -O op<br/>timizations
• See how -Ofast-math can squeak out eve<br/>n better optimizations
• See why -Of<br/>ast-math isn’t enabled by default
• Learn about the basic -O op<br/>timizations
• See how -Ofast-math can squeak out eve<br/>n better optimizations
• See why -Of<br/>ast-math isn’t enabled by default
Curated Video
High Performance Scientific Computing with C 2.1: Floating-Point Numbers and IEEE-754
How are real numbers stored and manipulated? How does this affect our program’s performance? • Learn how the IEEE-754 standard defines floating-point storage • Learn the range of floating-point numbers • See how we can go beyond this...
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High Performance Scientific Computing with C 3.2: Pipelining and Hardware-Oriented Design
How can we design our programs to take the most advantage of modern CPU design? • Learn about caching • Learn about branch prediction and speculative execution • Stay out of the way of the CPU and compiler!
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High Performance Scientific Computing with C 1.4: Numerical Integration
How can we calculate integrals with a computer? How can we solve differential equations? • Calculate integrals with the trapezoid and Simpson’s rule • See how the error terms scale with different algorithms • Solve differential equations...
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Learn and Master C Programming - Section Introduction - Quick Intro To Computer Basics
This section is for absolute beginners, so if you have a background in computer science or you have programmed in another language.
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This clip is from the chapter "Quick Intro To Computer Basics" of the series "Learn and...
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This clip is from the chapter "Quick Intro To Computer Basics" of the series "Learn and...
Zach Star
What is Computer Engineering?
Computer engineering is the combination of electrical engineering and computer science. Computer engineering majors will take basic circuit analysis classes where they will learn about voltage and current in...
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Julia for Data Science (Video 4)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 8)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 11)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 2)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 9)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 18)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 6)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 5)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 10)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 12)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 1)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 23)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 14)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 26)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...