Let us time some code solution intro to parallel programming this video is part of an online course, intro to parallel. Parallel programming may rely on insights from concurrent programming and vice versa. Although, once you learn cuda it will not be too difficult to jump over to opencl. Back in february 20, i successfully completed the heterogenous parallel programming course offered by coursera. Introduction to heterogeneous computing, overview of cuda c, and kernelbased parallel programming, with lab tour and programming assignment of vector addition in cuda c. Having more clearly established what parallel programming is, lets take a look at various forms of parallelism. Michael klemm senior application engineer software and services group michael. Coursera cryptography quiz 3 cryptocoins info club. Coursera heterogeneous parallel programming student. However, neither discipline is the superset of the other. But simply scaling the number of cores will soon run out of steam, so architectures are also becoming heterogeneous to handle specific types of computation more efficiently e. To begin, well go over an introduction to heterogeneous parallel computing. Memory model for locality, tiling for conserving memory bandwidth, handling boundary conditions, and performance considerations, with programming assignment of simple matrixmatrix multiplication in.
It is application oriented and only introduces necessary technological knowledge to solidify understanding. This is just my thoughts on heterogeneous parallel. Introduction to heterogeneous computing, overview of cuda c, and kernelbased parallel programming, with lab tour and programming assignment of. Kernelbased data parallel programming and memory model for locality, with programming assignment of. Heterogeneous parallel programming coursera course hw github.
Give to caesar what belongs to caesar all these materials can be found at courseras heterogeneous parallel. This courseraheterogeneous project provides offline resources to work on the assignments of heterogenous parallel programming course from coursera. I have taken both the coursera course and the equivalent course uiuc offers as ece 408 cs 483. Examples such as array norm and monte carlo computations illustrate these concepts. The mac signing algorithm s is applied to the file contents and nothing else. Introduction to parallel computing parallel programming. The coursera course is specifically about nvidia cuda programming.
Well laid out goals for a computer science student. And finally in module five, youll get a compile to run your opencl programs using the intel fpga sdk through opencl. Coursera heterogeneous parallel programming academic. As course enrollment grew and the heterogeneous parallel programming course on coursera was developed with the same material, challenges of scalability, security, and automatic grading led to the. Coursera heterogeneous parallel programming university. For advanced computer architecture, i believe following are good resources onur mutlus lecture videos and materials 6.
We show how to estimate work and depth of parallel programs as well as how to benchmark the implementations. Heterogeneous parallel programming course of coursera. Video created by intel for the course introduction to opencl on fpgas. It offers a detailed discussion of various techniques for constructing parallel programs. A handson approach, second edition, teaches students how to program massively parallel processors. This is a collaborative effort by the students of the course and you are welcome to contribute to improve it. Introduction to parallel computing with heterogeneous systems. Heterogeneous parallel programming in jade martin c. Heterogeneous computing refers to systems that use more than one kind of processor or cores. Thus, by concentrating on best practices in parallel programming models for dla on heterogeneous architectures, we will indirectly address other areas, as long as the. Anyone of you enrolled at the heterogeneous parallel programming course at coursera. As almasi and gottlieb were quoted saying in 1989, parallel computing is a form of computation in which many calculations are carried out simultaneously. Concurrent programming may be used to solve parallel programming problems.
Parallel computing courses from top universities and industry leaders. With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly. Coursera heterogeneous parallel programming books pics. It covers heterogeneous computing architectures, dataparallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns. Heterogeneous parallel programming coursera course hw mp2. It covers heterogeneous computing architectures, data parallel programming models, techniques for memory bandwidth management, and parallel. This was a very good experience and i will get additional marks for this in computer architecture thanks to coursera.
Heterogeneous parallel computing week 1 notes youtube. Introduction to opencl heterogeneous parallel computing. Wenmei hwu of uiuc and it is based on the uiuc course that he and david kirk, of nvidia, taught back when cuda was first introduced. This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. So, were, today, were talking about parallelism and synchronization. Suppose a mac system s,v is used to protect files in a file system by appending a mac tag to each file. Nice course, really enjoyed every challenge in the course. What tampering attacks replacing the contents of a file with the concatenation of two files let s,v be a secure mac defined over k,m. Use database technology adapted for largescale analytics, including the concepts driving parallel databases, parallel query processing, and indatabase analytics 4.
Blelloch scan intro to parallel programming this video is part of an online course, intro to parallel programming. The concepts learned in this course form a strong foundation for learning other types of parallel programming systems. Aspire short course on parallel programming berkeleyx. Opencl provides a common language, programming interfaces, and hardware abstractions enabling developers to accelerate applications with taskparallel or dataparallel computations in a heterogeneous computing environment consisting of the host cpu and any attached opencl devices. Opencl is a standard for writing parallel programs for heterogeneous systems, much like the nvidia cuda programming language. Hwu this course teaches the use of cudaopencl, openacc, and mpi for programming heterogeneous parallel computing systems. Ive been uploading a few coursera courses for the past 10 days on kat. Lam computer systems laboratory stanford university, ca 94305 abstract this paper presents jade, a highlevel parallel programming language for managing coarsegrain concurrency. This is just my thoughts on heterogeneous parallel computing week 1, from the coursera course. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models. We motivate parallel programming and introduce the basic constructs for building parallel programs on jvm and scala. Sign in sign up instantly share code, notes, and snippets. In the fpga environment, opencl constructs are synthesized into.
What is the best way to learn about advanced computer. It covers heterogeneous computing architectures, dataparallel programming models, techniques for memory bandwidth management, and parallel. Parallel programming models for dense linear algebra on heterogeneous systems m. These systems gain performance or energy efficiency not just by adding the same type of processors, but by adding dissimilar coprocessors, usually incorporating specialized processing capabilities to. Heterogeneous parallel programmingmachine problem coding histogram mp8. Hands on opencl is a twoday lecture course introducing opencl, the api for writing heterogeneous applications. Contribute to kaastor heterogeneousparallelprogramming development by creating an account on github. We will provide an introduction to parallel architectures and programming issues, a thorough exposure to languages and tools for shared memory programming, including handson experience, a presentation of high level programming parallel programming. The concepts learned in this course form a strong foundation for learning other types of parallel. Heterogeneous parallel programmingmachine problem coding. Parallel programming models for dense linear algebra on.
Heterogeneous parallel programming free computer science online course on coursera by univ. Solutions to programming assignments for heterogeneous parallel programming at coursera. Heterogeneous parallel programming cs 377 by coursera on. Introduction to parallelism parallel programming 1. Contribute by either seeding or downloading the other courses from coursera. Nikolaygenovheterogeneousparallelprogrammingcoursera. Fundamentals of parallelism on intel architecture coursera. Introduction to heterogeneous computing and a quick overview of cuda c and mpi, with lab setup and programming assignment of vector addition in cuda c. Hands on opencl an open source twoday lecture course for teaching and learning opencl welcome. The student will be provided with a brief motivation for the necessity of parallel computing along with its inherent challenges. Parallel computing is now ubiquitous across all domains, from cellphones to multicore chips and supercomputers.
298 897 799 751 1295 766 112 1393 1640 250 223 790 1226 1136 667 377 419 868 521 322 198 303 951 451 965 1498 1199 1076 1389 631 873 1220 126