LAFF-On Programming for High Performance
Is my code fast? Can it be faster? Scientific computing, machine learning, and data science are about solving problems that are compute intensive. Choosing the right algorithm, extracting parallelism at various levels, and amortizing the cost of data movement are vital to achieving scalable speedup and high performance.
In this course, the simple but important example of matrix-matrix multiplication is used to illustrate fundamental techniques for attaining high-performance on modern CPUs. A carefully designed and scaffolded sequence of exercises leads the learner from a naive implementation to one that effectively utilizes instruction level parallelism and culminates in a high-performance multithreaded implementation. Along the way, it is discovered that careful attention to data movement is key to efficient computing.
Prerequisites for this course are a basic understanding of matrix computations (roughly equivalent toWeeks 1-5 of Linear Algebra: Foundations to Frontiers on edX) and an exposure to programming. Hands-on exercises start with skeletal code in the C programming language that is progressively modified, so that extensive experience with C is not required. Access to a relatively recent x86 processor such as Intel Haswell or AMD Ryzen (or newer) running Linux is required.
MATLAB Online licenses will be made available to the participants free of charge for the duration of the course.
Join us to satisfy your need for speed!
What you'll learn
- Mapping algorithms to architectures
- Extracting parallelism at multiple levels
- Amortizing data movement over computation
- Understanding performance data
- Managing complexity through layering of software
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 5 weeks, 4–6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $99 |
From | UTAustinX, The University of Texas at Austin via edX |
Instructors | Maggie Myers, Robert van de Geijn, Devangi Parikh |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Exercise and Movement Science Coordinator $36k
Asset Movement Specialist $41k
Technology Movement Control Specialist Lead $42k
Dance/Movement Teaching Artist $46k
Movement Teacher $49k
Movement Specialist, Athletic Dept $62k
Chair - Stage Movement Committee $65k
Movement for Actors Instructor $68k
Movement Control Specialist Lead $74k
Movement Control Specialist 1 $77k
Project Movement Control Specialist Lead $117k
Senior Manager, IT Project Management - Movement Control $157k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 5 weeks, 4–6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $99 |
From | UTAustinX, The University of Texas at Austin via edX |
Instructors | Maggie Myers, Robert van de Geijn, Devangi Parikh |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course