Search result for Distributed memory models Online Courses & Certifications
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High Performance Computing
by Rich Vuduc , Catherine Gamboa- 0.0
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Approx. 4 months
This course will give you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. Offered at Georgia Tech as CS6220 lesson 1 Work-Span or Dynamic Multithreading Model Intro to the basic algorithmic model Intro to OpenMP a practical programming model Comparison-based sorting algorithms Scans and linked list algorithms Tree algorithms Graph algorithms e....
Free
Big Data Analysis with Scala and Spark
by Prof. Heather Miller- 4.7
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Approx. 28 hours to complete
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala....
Big Data Analytics Using Spark
by Yoav Freund- 0.0
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10 Weeks
In data science, data is called "big" if it cannot fit into the memory of a single standard laptop or workstation. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark....
$350
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. Logistic Regression Models...
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
*The components of a high-performance distributed computing system *Types of parallel programming models and the situations in which they might be used *Shared memory parallelism *Distributed memory parallelism Parallel Memory Models...
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner....
Scientific Computing™ with HPC, OpenMP, MPI, CUDA & AWS HPC
by Scientific Programming Team- 0.0
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3.5 hours on-demand video
This course has been specially designed to enable you to utilize parallel & distributed programming and computing resources to accelerate the solution of a complex problem with the help of HPC systems and Supercomputers. We understand that CUDA is a difficult API, particularly the memory models....
$12.99
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Oracle Exadata Database Machine and Cloud Service | 1Z0-338
by Smart Cloud- 0.0
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Describe memory capabilities of different models Monitor the storage cell using Cell Command Line Interface and Distributed Command Line Interface...
$12.99
Introduction to UI Design
by Loren Terveen , Haiyi Zhu , Lana Yarosh , Dr. Brent Hecht , Joseph A Konstan- 4.7
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Approx. 14 hours to complete
Conceptual models High-Level Models: Distributed Cognition, Activity Theory, Situated Action...
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
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Approx. 20 hours to complete
Our course presents Distributed Key-Value Stores and in memory databases like Redis used in data centers for performance. We finish up week two with a presentation on Distributed Publish/Subscribe systems using Kafka, a distributed log messaging system that is finding wide use in connecting Big Data and streaming applications together to form complex systems....
