Memory operations per second or MOPS is a metric for an expression of the performance capacity of semiconductor memory. It can also be used to determine the efficiency of RAM in the Windows operating environment. MOPS can be affected by multiple applications being open at once without adequate job scheduling. (Wikipedia).
This videos explains how to convert from one unit of time to another. It also shows how to add and subtract different units of time. Complete Video List: http://www.mathispower4u.yolasite.com
From playlist Unit Conversions: Converting Between Standard and Metric Units
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
Application of Scientific Notation - Quotient 2 (Time for Computer Operations)
This video explains how to determine the quotient of two numbers in scientific notation to solve an application problem.
From playlist Exponents and Simplifying Expressions with Exponents
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
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
Vintage 1962 "Digital Computer Techniques" - core memory, magnetic storage, etc.
Original un-edited 1962 film. A “somewhat dry” Army/Navy film of basic computer concepts. Detailed descriptions & diagrams of computing “input, store, control, arithmetic, output”, etc. Machine peripherals shown briefly. Film quality starts poor, but gets better towards the end. Nice d
From playlist Computers of the 1960's
The way how to show time using clocks. It is 12 hours video you can use as a screensaver on clock, every number changing is completely random. Please enjoy.
From playlist Timers
1.4.1.1 LAFF: Counting flops and memops
From playlist LAFF - Week 1
EEVblog #617 - Tektronix Oscilloscope Anomaly
Dave shows how Tektronix digital oscilloscopes work fundamentally different in their Auto trigger mode from other brands. And also some random ad-hock comparisons between the Tektronix MDO3000, Agilent MSOX3000, Rigol DS2000, and GW Instek GDS-2000A oscilloscopes. Forum: http://www.eevblog
From playlist Oscilloscope Tutorials
EEVblog #1311 - Can Your Oscilloscope Zoom OUT?
Zooming in is easy, but can your oscilloscope zoom OUT? A look at the results of differences in scope acquisition architecture, and fixed vs auto memory depth. And what's the difference between the STOP button and the SINGLE button? Follow-up video: https://www.youtube.com/watch?v=wLcdZjF
From playlist Oscilloscope Tutorials
Lecture 15 | Efficient Methods and Hardware for Deep Learning
In Lecture 15, guest lecturer Song Han discusses algorithms and specialized hardware that can be used to accelerate training and inference of deep learning workloads. We discuss pruning, weight sharing, quantization, and other techniques for accelerating inference, as well as parallelizati
From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
Thesis Talk: The Evaluation Chapter
As I'm working towards graduation, I'm spending a lot of time on thesis writing. And I realized that this is a process that may be pretty foreign to a lot of people out there. So with this video (series?), I'm hoping to give some insight into what the PhD thesis process is like, and the ki
From playlist Noria live-streams
Jack Deslippe - Guiding Exascale Application Optimization - IPAM at UCLA
Recorded 17 March 2023. Jack Deslippe of Lawrence Berkeley Laboratory presents "Guiding Exascale Application Optimization" at IPAM's New Mathematics for the Exascale: Applications to Materials Science Tutorials. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/new-mathemat
From playlist 2023 New Mathematics for the Exascale: Applications to Materials Science Tutorials
Stanford Seminar - Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors...
Dave Ditzel is the founder and executive Chairman of Esperanto Technologies Inc. This talk was given on March 2, 2022. TAccelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors on a 7nm Chip To accelerate Machine Learning Recommendation and other workloads, Esperant
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
November 1, 2006 lecture by William Dally for the Stanford University Computer Systems Colloquium (EE 380). A discussion about the exploration of parallelism and locality with examples drawn from the Imagine and Merrimac projects and from three generations of stream programming systems.
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
Petascale Kinetic Plasma Simulation with VPIC and Roadrunner - Kevin Bowers
Petascale Kinetic Plasma Simulation with VPIC and Roadrunner Kevin Bowers Los Alamos National Laboratory and D.E. Shaw Research July 23, 2009
From playlist PiTP 2009
Stanford Seminar - Making the Invisible Visible: Observing Complex Software Dynamics
Dick Sites March 9 Dick discusses key topics in his recent book "Understanding Software Dynamics". Over his career he has taken a particular interest in complex software performance and determining why things can be slow. He will cover examples for each of the seven reasons code may not b
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Measuring Time Solution - 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
TPS and TB - When to Scale Up and How to Scale Out
Originally aired on July 23, 2014. With more people using more devices to access information via websites, mobile apps, social, video and tv, applications are under intense pressure to handle more transactions per second (TPS) and terabytes of data in real-time. But how much time is real-
From playlist O'Reilly Webcasts 3