External memory algorithms | Analysis of algorithms | Models of computation | Algorithms
In computing, external memory algorithms or out-of-core algorithms are algorithms that are designed to process data that are too large to fit into a computer's main memory at once. Such algorithms must be optimized to efficiently fetch and access data stored in slow bulk memory (auxiliary memory) such as hard drives or tape drives, or when memory is on a computer network. External memory algorithms are analyzed in the external memory model. (Wikipedia).
The role of the hard drive buffer and interrupts when a file is transferred from primary memory (RAM) to a secondary storage device.
From playlist Computer Hardware and Architecture
Dynamic Random Access Memory (DRAM). Part 1: Memory Cell Arrays
This is the first in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This particular video covers the structure and workings of the DRAM memory cell. That is, the basic unit of st
From playlist Random Access Memory
Centrality - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Cbc Implementation Solution - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Dynamic Random Access Memory (DRAM). Part 7: Memory Address Mapping
This is the seventh in a series of videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video illustrates how the individual bits of a memory address can be allocated among rows, columns and banks in order to c
From playlist Random Access Memory
Dynamic Random Access Memory (DRAM). Part 2: Read and Write Cycles
This is the second in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video covers stages of the read cycle and the write cycle including memory address multiplexing as a means
From playlist Random Access Memory
Build a Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Dynamic Random Access Memory (DRAM). Part 5: DIMM Organisation
This is the fifth in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video explains how a memory module can be built using large rectangular arrays of memory cells which maximi
From playlist Random Access Memory
Meta-Learning and One-Shot Learning
A survey of some current research, including my own, in a particular subfield of machine learning. Lake et al: http://web.mit.edu/cocosci/Papers/Science-2015-Lake-1332-8.pdf Santoro et al: https://arxiv.org/abs/1605.06065 Finn et al: https://arxiv.org/abs/1703.03400 Ravi et al: https://op
From playlist Machine Learning
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf This lecture discusses different means of storage allo
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
Operating System Full Course | Operating System Tutorials for Beginners
An operating system is system software that manages computer hardware and software resources and provides common services for computer programs. In this operating system full course you will be learning following topic in details. Hardware Resources Introduction
From playlist Operating System
22C3: On working memory and mental imagery
Speaker: Victor Eliashberg How does the brain learn to think? A representation of an untrained human brain, call it B(0), is encoded in the human genome -- its size can hardly exceed a few megabytes. In contrast, a representation of a trained brain, B(t), after big enough time t (say t=2
From playlist 22C3: Private Investigations
Sorting Through the Ages Gregory Stark
When new versions of Postgres are released most of the attention is focused on new features. Inevitably a release note claiming speed improvements seems relatively mundane and doesn't provide the compelling argument for upgrading. However the reality is that these speed improvements repre
From playlist 2016
Nexus Trimester - Paris Koutris (University of Wisconsin)
Worst-Case Optimal Algorithms for Parallel Query Processing Paris Koutris (University of Wisconsin) February 11, 2016 Abstract: We study the communication complexity for the problem of computing a conjunctive query on a large database in a massively parallel setting. In contrast to previ
From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme
Fetch Decode Execute Cycle in more detail
This computer science video illustrates the fetch decode execute cycle. The view of the CPU focusses on the role of various registers including the accumulator, memory address register, memory data register, current instruction register and the program counter. The arithmetic and logic un
From playlist Computer Hardware and Architecture
#BrianGreene #Neuroscience #Brain How does the brain retrieve memories, articulate words, and focus attention? Recent advances have provided a newfound ability to decipher, sharpen, and adjust electrical signals relevant to speech, attention, memory and emotion. Join Brian Greene and leadi
From playlist WSF Latest Releases
C Programming For Beginners | Learn C Programming | C Tutorial For Beginners | Edureka
🔥 Edureka C Programming Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/c-programming-course 🔥 Edureka Computer Science Bootcamp Program: https://www.edureka.co/masters-program/computer-science-bootcamp-program This Edureka video on "C Programming For Beginners" ( C Tutorial blog: ht
From playlist Learn C programming
Online Learning in Reactive Environments - Raman Arora
Seminar on Theoretical Machine Learning Topic: Online Learning in Reactive Environments Speaker: Raman Arora Affiliation: Johns Hopkins University; Member, School of Mathematics Date: December 18, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
DeepMind x UCL | Deep Learning Lectures | 8/12 | Attention and Memory in Deep Learning
Attention and memory have emerged as two vital new components of deep learning over the last few years. This lecture by DeepMind Research Scientist Alex Graves covers a broad range of contemporary attention mechanisms, including the implicit attention present in any deep network, as well a
From playlist Learning resources