The Microarchitectural Data Sampling (MDS) vulnerabilities are a set of weaknesses in Intel x86 microprocessors that use hyper-threading, and leak data across protection boundaries that are architecturally supposed to be secure. The attacks exploiting the vulnerabilities have been labeled Fallout, RIDL (Rogue In-Flight Data Load), ZombieLoad., and ZombieLoad 2. (Wikipedia).
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Frequency Domain Interpretation of Sampling
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.
From playlist Sampling and Reconstruction of Signals
Research Methods 1: Sampling Techniques
In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de
From playlist Research Methods
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
Statistics - Types of sampling
This video will show you the many ways that you could sample. Remember to look for those small differences such as if you are breaking things into groups first. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
Statistics: Introduction (12 of 13) Sampling: Definitions and Terms
Visit http://ilectureonline.com for more math and science lectures! We will review a sampling of definitions and terms of statistics: census, sampling frame, sampling plan, judgment sample, probability samples, random samples, systematic sample, stratified sample, and cluster sample. To
From playlist STATISTICS CH 1 INTRODUCTION
Stanford Seminar - A Superscalar Out-of-Order x86 Soft Processor for FPGA
Henry Wong University of Toronto, Intel June 5, 2019 Although FPGAs continue to grow in capacity, FPGA-based soft processors have grown little because of the difficulty of achieving higher performance in exchange for area. Superscalar out-of-order processor microarchitectures have been us
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Stanford Seminar - Exploiting modern microarchitectures: Meltdown, Spectre, & other hardware attacks
EE380: Computer Systems Colloquium Seminar Exploiting modern microarchitectures: Meltdown, Spectre, and other hardware attacks Speaker: Jon Masters, Redhat Recently disclosed vulnerabilities against modern high performance computer microarchitectures known as 'Meltdown' and 'Spectre' are
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
FPGA Design with MATLAB, Part 3: Architecting Efficient Hardware
Generating an efficient FPGA design generally involves balancing the throughput, latency, and hardware resources. Depending on the nature of your design and your goals, there are a number of ways to adapt your algorithm for efficient hardware implementation. This part of the tutorial showc
From playlist FPGA Design with MATLAB
Powered by https://www.numerise.com/ Surveys & questionnaires (2)
From playlist Collecting data
Embedded Recipes 2019 - Knowing your ARM from your ARSE
Modern SoC designs incorporate technologies from numerous vendors, each with their own inconsistent, confusing, undocumented and even contradictory terminology. The result is a mess of acronyms and product names which have a surprising impact on the ability to develop reusable, modular co
From playlist Embedded Recipes 2019
Gibbs Sampling : Data Science Concepts
Another MCMC Method. Gibbs sampling is great for multivariate distributions where conditional densities are *easy* to sample from. To emphasize a point in the video: - First sample is (x0,y0) - Next Sample is (x1,y1) - Next Sample is (x2,y2) ... That is, we update *all* variables once
From playlist Bayesian Statistics
The Central Processing Unit (CPU): Crash Course Computer Science #7
Today we’re going to build the ticking heart of every computer - the Central Processing Unit or CPU. The CPU’s job is to execute the programs we know and love - you know like GTA V, Slack... and Power Point. To make our CPU we’ll bring in our ALU and RAM we made in the previous two episode
From playlist Computer Science
Energy Harvesting for Wireless Sensors
May 30, 2007 lecture by Raj Amirtharajah for the Stanford University Computer Systems Colloquium (EE 380). In this talk, Raj gives an overview of energy harvesting mechanisms, describes circuit and system microarchitecture techniques for energy harvesting wireless sensors, and gives speci
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
Stanford Seminar - Dynamic Code Optimization and the NVIDIA Denver Processor
"Dynamic Code Optimization and the NVIDIA Denver Processor" - Nathan Tuck of NVIDIA Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating syst
From playlist Engineering
Lec 18 | MIT 6.189 Multicore Programming Primer, IAP 2007
Lecture 18: The Raw experience License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007
Future Evolution of High-Performance Microprocessors
September 27, 2006 lecture by Norm Jouppi for the Stanford University Computer Systems Colloquium (EE 380). The evolution of high-performance microprocessors has recently gone through a significant inflection point; such issues will be discussed, as well as the likely future of high per
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
At-scale Formal Verification for Industrial Semiconductor Designs - Professor Tom Melham
https://www.turing-gateway.cam.ac.uk/sites/default/files/asset/doc/1707/Big%20Proof%20Day%20Melham%2019-07-2017.pdf #TuringSeminars
From playlist Turing Seminars
Types of Sampling | Introduction to Data Mining part 13
In this Data Mining Fundamentals tutorial, we discuss the different types of sampling for data preprocessing, such as random sampling, stratified sampling, sampling without and with replacement. We will also dive into the issues of sample size, and how that can effect your sampling. -- Lea
From playlist Introduction to Data Mining