Search results “Zero iteration count oracle”
CS50 2018 - Lecture 8 - SQL
00:00:00 - Introduction 00:00:50 - Hackathon Teaser 00:02:23 - Week 7 Recap 00:05:35 - C$50 Finance 00:07:47 - Cookies 00:15:46 - store 00:22:22 - Databases 00:27:15 - Mock Database 00:29:07 - SQL 00:39:32 - SQLite 00:51:52 - phpLiteAdmin 01:12:54 - lecture 01:38:39 - Race Conditions 01:45:57 - SQL Injection Attacks
Views: 5050 CS50
Q&A with BitcoinABC and Others
Bitcoin ABC developers Amaury Sechet, Shammah Chancellor, Jason B. Cox and Antony Zegers are joined by Chris Pacia, Jonathan Toomim, Juan Garavaglia and Guillermo Paoletti to discuss Canonical/Lexical Transaction Ordering, OpCheckDataSig, 100 byte limit for transactions and Block Size www.thefutureofbitcoin.cash
Views: 1706 The Future of Bitcoin
Write a program to print prime numbers between 1 to 100
Love to make Game? watch these video to learn :) https://www.youtube.com/edit?o=U&video_id=Voob8ZHuCL8 Love to free download movies games watch this https://youtu.be/YCZWhq-fJg8
Views: 176548 Get Placed
Java & MySQL - Check if a value already exists
Easy tutorial on how to check if a value already exists in the database.
Views: 25487 Mozoran
PY4E - Dictionaries (Chapter 9 Part 1)
http://www.py4e.com - Python for Everybody: Exploring Data in Python 3.0 Please visit the web site to access a free textbook, free supporting materials, as well as interactive exercises.
Views: 5793 Chuck Severance
Mark Thompson: "Creating a Life that Matters: Discovering Your True [...]" | Talks at Google
How do you find success that is lasting, meaningful and rewarding in your life and work? In a global Wharton and Stanford research study across 110 nations, Executive Coach and New York Times Bestselling author Mark Thompson surveyed high achievers who’ve had strong impact in their field for 20 years or more: Pulitzer Prize, Academy, and Tony Award winners; Olympians; self-made billionaires; and Nobel laureates, from Nelson Mandela to the Dalai Lama. He was surprised to discover six factors that defied the dictionary definition of success. During this special talk, Mark Thompson reveals the results of his research and demonstrates how you can apply these principles to your everyday life and work. Learn more about Mark's work: http://www.markcthompson.com/ Get the book: https://goo.gl/ExhzmD
Views: 5044 Talks at Google
Excel and DataTables Automation 3.3
Learn how UiPath operates with Excel and Data Tables: - Excel application scope - Opening a workbook - access modes - Read and write range - Output datatable Watch a practical example of how to sort data in an Excel file and iterate through all rows.
Views: 170036 UiPath
Optimize Cloud SQL performance and availability (Google Cloud Next '17)
Get the most from Google Cloud SQL: Google's fully-managed database service that makes it easy to set up and maintain your relational databases in the cloud. In this video, Stanley Feng and Brett Hesterberg show you how to scale performance and securely connect to Cloud SQL from anywhere in the world. They dive into Cloud SQL's architecture to understand tradeoffs between performance and availability and discuss important considerations for instance sizing. You'll come away knowing how to get the most from your database, while letting Cloud SQL handle the mundane, but necessary and often time consuming tasks — like applying patches and updates, managing backups and configuring replications — so you can focus on developing your next great apps. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
Views: 2082 Google Cloud Platform
Real-World Performance - 6 - Leaking Cursors
Check out the entire series on the Oracle Learning Library at http://www.oracle.com/goto/oll/rwp In this video, listen and watch Andrew Holdsworth, Vice President of Oracle Database Real-World Performance at Oracle Corporation, as he demonstrates how leaking cursors affect performance. Copyright © 2014 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement
Support Vector Machines - The Math of Intelligence (Week 1)
Support Vector Machines are a very popular type of machine learning model used for classification when you have a small dataset. We'll go through when to use them, how they work, and build our own using numpy. This is part of Week 1 of The Math of Intelligence. This is a re-recorded version of a video I just released a day ago (the audio/video quality is better in this one) Code for this video: https://github.com/llSourcell/Classifying_Data_Using_a_Support_Vector_Machine Please Subscribe! And like. And comment. that's what keeps me going. Course Syllabus: https://github.com/llSourcell/The_Math_of_Intelligence Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ More Learning resources: https://www.analyticsvidhya.com/blog/2015/10/understaing-support-vector-machine-example-code/ http://www.robots.ox.ac.uk/~az/lectures/ml/lect2.pdf http://machinelearningmastery.com/support-vector-machines-for-machine-learning/ http://www.cs.columbia.edu/~kathy/cs4701/documents/jason_svm_tutorial.pdf http://www.statsoft.com/Textbook/Support-Vector-Machines https://www.youtube.com/watch?v=_PwhiWxHK8o And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 123664 Siraj Raval
The Programming Language Wars
Modern society is built on software platforms that encompass a great deal of our lives. While this is well known, software is invented by people and this comes at considerable cost. Notably, approximately $331.7 billion are paid, in the U.S. alone, in wages every year for this purpose. Generally, developers in industry use programming languages to create their software, but there exists significant dispersion in the designs of competing language products. In some cases, this dispersion leads to trivial design inconsistencies (e.g., the meaning of the symbol +), while in other cases the approaches are radically different. Studies in the literature show that some of the broader debates, like the classic ones on static vs. dynamic typing or competing syntactic designs, provide consistent and replicable results in regard to their human factors impacts. For example, programmers can generally write correct programs more quickly using static typing than dynamic for reasons that are now known. In this talk, we will discuss three facets of language design dispersion, sometimes colloquially referred to as the “programming language wars.” First, we will flesh out the broader impacts inventing software has on society, including its cost to industry, education, and government. Second, recent evidence has shown that even research scholars are not gathering replicable and reliable data on the problem. Finally, we will give an overview of the facts now known about competing alternatives (e.g., types, syntax, compiler error design, lambdas).  See more on this video at https://www.microsoft.com/en-us/research/video/the-programming-language-wars/
Views: 1484 Microsoft Research
New capabilities for modern data integration in the cloud : Build 2018
This session focuses on the needs of the data integrator and data engineer whether that be for data warehousing & BI, advanced analytics of data for SaaS applications. We walk through a comprehensive set of new additions to Azure Data Factory and SSIS for moving and integrating data across on-premises and cloud. Topics and examples will include simple, scalable and reliable data pipelines in ADF using a serverless, parallel data movement service to/from the cloud, provisioning of Azure-SSIS Integration Runtime (IR) – dedicated servers for lifting & shifting SSIS packages to cloud– and its customization with your own/3rd party extensions, the execution of SSIS packages as first-class activities in ADF pipelines and their combination with other ADF activities to create modern ETL/ELT workflows all through the new code-free experience. Create a Free Account (Azure): https://aka.ms/azft-migrate
Views: 1114 Microsoft Developer
HARDEST Combo in MTG! Amulet Titan | Pretty Deece TCGplayer
Put an Amulet of Vigor in play, stick a Primeval Titan, win the game. That sounds pretty simple, but the thing about Amulet Titan is that its opening hands aren’t very intuitive and the “combo” isn’t really on the battlefield—the deck just wins in a flurry of triggered abilities all on one turn. Let's walk through the deck, shall we? Check the deck out: http://bit.ly/AmuletTitan See the old version of the deck: http://bit.ly/AmuletBloom Buy cards: http://bit.ly/TCGplayerYT Read Jon's TCGplayer articles: http://bit.ly/TCGplayerJonCorpora Follow Jon on Twitter: https://twitter.com/feb31st
Views: 101637 TCGplayer
How Oracle Argus Safety Migrations Work
Learn how to migrate to Oracle's Argus Safety. -- Is your organization considering migrating to Argus Safety, Oracle's comprehensive safety and pharmacovigilance system? Then you probably already know that moving and reformatting legacy adverse event cases can be a major bottleneck. BioPharm, with our partner, Valiance, can quickly automate and streamline many aspects of the migration and implementation process without resorting to custom scripts, existing APIs, and time-consuming manual tasks. From the assessment and strategy to the complete migration and verification of adverse event cases from your source system (e.g., AERS, ARISg, Excel, Trace, Custom, etc.), leveraging our tried-and-true methodologies and technologies helps you accelerate the entire process with confidence. Please join BioPharm's Dr. Rodney Lemery and Valiance's Richard Wells for a free one-hour webinar that will explore: -- The types of risks and challenges associated with safety data system migrations, including those related to Japan and other countries -- How to successfully approach a safety and pharmacovigilance system migration and implementation project -- The benefits of pre-configured migration software and automated 100% migration testing -- Examples of past migration and implementation projects -- Your own migration questions and challenges To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/c281688i2iki&eom Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc Google+: https://plus.google.com/+BioPharm
Views: 1747 BioPharmSystems
19. Discovering Quantitative Trait Loci (QTLs)
MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This lecture is guided by the question "Where is missing heritability found?" Prof. David Gifford discusses computational models that can predict phenotype from genotype. He then discusses how to discover and model quantitative trait loci. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 15507 MIT OpenCourseWare
Taskar Memorial Lecture 2018: M. Jordan (UC, Berkeley)
On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex Abstract: Many new theoretical challenges have arisen in the area of gradient-based optimization for large-scale statistical data analysis, driven by the needs of applications and the opportunities provided by new hardware and software platforms. I discuss several recent, related results in this area: (1) a new framework for understanding Nesterov acceleration, obtained by taking a continuous-time, Lagrangian/Hamiltonian/symplectic perspective, (2) a discussion of how to escape saddle points efficiently in nonconvex optimization, and (3) the acceleration of Langevin diffusion. Bio: Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. This video is closed captioned.
Views: 1573 Paul G. Allen School
Firebase Database Querying 101 - The Firebase Database For SQL Developers #3
Learn more about qureying in the official documentation: https://goo.gl/iLDAvS Welcome to the third video in the Firebase Database for SQL Developers series! Querying may be less powerful in NoSQL databases than compared to SQL databases, but there's still a lot you can do with the Firebase Database. Watch more videos from this series: https://goo.gl/ZDcO0a Subscribe to the Firebase Channel: https://goo.gl/9giPHG
Views: 89028 Firebase
RubyConf 2017: That time I used Ruby to crack my Reddit password by Haseeb Qureshi
RubyConf 2017: That time I used Ruby to crack my Reddit password by Haseeb Qureshi I lost my password. So I used Ruby to crack it, kinda. I will re-enact the story live in front of a group of strangers. I'm going to be honest, this is a weird and fairly embarrassing story. You probably shouldn't come see it. You know what, forget I even said anything.
Views: 3077 Confreaks
Four Solutions to a Trivial Problem - Guy Steele Jr.
Google Tech Talk, 12/1/2015, Presented by Guy L. Steele Jr. ABSTRACT: We present a small but interesting geometrical problem and then examine four different computational approaches to solving it: a "classic sequential solution" and three different approaches that are amenable to parallel implementation, comparing them to highlight various advantages and disadvantages, including total work required and minimum time to solution. All four solutions are illustrated both pictorially and with working code. We argue that certain approaches work better than others if exploitation of parallelism is to be automated. There will also be at least one joke. About the Speaker https://en.wikipedia.org/wiki/Guy_L._Steele,_Jr.
Views: 24391 GoogleTechTalks
Cloud Spanner 101: Google's mission-critical relational database  (Google Cloud Next '17)
In this video, Dominic Preuss shares an overview of Google Cloud Spanner, Google's mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You'll learn how Cloud Spanner evolved, how Google uses it internally, and how you can use it for your next project. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
Views: 17093 Google Cloud Platform
Efficient Second-order Optimization for Machine Learning
Stochastic gradient-based methods are the state-of-the-art in large-scale machine learning optimization due to their extremely efficient per-iteration computational cost. Second-order methods, that use the second derivative of the optimization objective, are known to enable faster convergence. However, the latter has been much less explored due to the high cost of computing the second-order information. We will present second-order stochastic methods for (convex and non-convex) optimization problems arising in machine learning that match the per-iteration cost of gradient-based methods, yet enjoy the faster convergence properties of second-order optimization overall leading to faster algorithms than the best known gradient-based methods. See more at https://www.microsoft.com/en-us/research/video/efficient-second-order-optimization-for-machine-learning/
Views: 1243 Microsoft Research
Java Loops
Java while, do-while and for loop discussion
Views: 17 Dan McElroy
Calculating Percentile Rank Using Excel
This video describes how to calculate percentile rank using Microsoft Excel.
Views: 81965 Dr. Todd Grande
Google I/O 2011: Java Puzzlers - Scraping the Bottom of the Barrel
Josh Bloch, Jeremy Manson How can they do it? How can Josh Bloch and Jeremy Manson keep coming up with such great programming puzzlers year after year? They can't! In this, the eighth installment of the perennial crowd pleaser, Click and Hack the Type-It brothers are truly scraping the bottom of the barrel. But the dregs they come up can still astonish, delight, and educate. So come to "Java Puzzlers,—Scraping the Bottom of the Barrel, have some fun, and learn to avoid the traps and pitfalls in the Java programming language. One of these puzzlers is about regular expressions, whose performance is a rich topic with many surprises. For background and details, see http://swtch.com/~rsc/regexp/regexp1.html.
Views: 54952 Google Developers
Chapter 4: Using a loop to keep a running total
Shows how to keep a running total using a for loop. From: http://cs.simpson.edu/cmsc150/index.php?chapter=loops#section_4.1.3
Views: 24806 Professor Craven
Create a Two Variable Data Table
Check out my Blog: http://exceltraining101.blogspot.com In a previous post I showed you how to create a one variable data table. You should know by now how Excel just wants you to be able to do more! So much more that there is a two variable data table feature. The use case for this is if you want to input two varying pieces of data and see how the output changes. For example say you are taking out a loan and maybe not sure how much you want to take out. At the same time you are unsure of the rate you might get. What are the possibilities of monthly payments you'll have? It's almost endless! With a two variable data table you can a range of interest rate AND a range of loan amounts and let the handy-dandy data table feature figure out the different monthly payments that are possible. Amazing! See the magic at work in the video. Check out my Blog: http://exceltraining101.blogspot.com #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel
Views: 220530 Doug H
Infinite Loops - Intro to Java Programming
This video is part of an online course, Intro to Java Programming. Check out the course here: https://www.udacity.com/course/cs046.
Views: 1185 Udacity
Java program to find odd or even number | Only for Beginners
A simple example to illustrate how java.util.Scanner works would be reading a single integer from System.in . It's really quite simple. Scanner sc = new Scanner(System.in); int i = sc.nextInt(); To retrieve a username I would probably use sc.nextLine(). Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearnings Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmkk8bMSOF-UBF43z-pdGQ?sub_confirmation=1 Telusko Hindi : https://www.youtube.com/channel/UCitzw4ROeTVGRRLnCPws-cw?sub_confirmation=1
Views: 48249 Telusko
Print Matrix Diagonally
Given a matrix of mxn dimensions, print the elements of the matrix in diagonal order. Algorithm: rowCount = number of rows columnCount = number of columns Then, number of diagonals will be = rowCount + columnCount - 1 Step 1: Print first rowCount diagonals Print diagonals that start from the first column elements. Step 2: Print next columnCount - 1 diagonals Print diagonals that start from the last row elements. Step 1 Details: Print first rowCount diagonals Iterate to print diagonals from row k = 0 to rowCount - 1. 1: Start with row = k and col = 0 2: Print the element matrix[row][col] 3: Decrement row by 1 Increment col by 1till row greater than or equal to 0 and col less than columnCount Step 2 Details: Print next columnCount – 1 diagonals Iterate to print diagonals from column k = 1 to columnCount - 1 1: Start with last row, row = rowCount – 1 and col = k 2: Print the element matrix[row][col] 3: Decrement row by 1 Increment col by 1till row greater than or equal to 0 and col less than columnCount Order of the Algorithm: Time Complexity: O(mn) Space Complexity: O(1) Code and Algorithm Visualization: http://www.ideserve.co.in/learn/print-matrix-diagonally Website: http://www.ideserve.co.in Facebook: https://www.facebook.com/IDeserve.co.in
Views: 13450 IDeserve
My Logisim Floating Point CPU / Computer - (FPU) (Fractals, Raytracer, Etc.)
This video shows the addition of floating point components to my CPU which allows for more complex programs such as a raytracer, fractal plotter, and function plotter (all and more shown in video). Also shows my graphical version of my CPU/computer simulator for this CPU. This CPU is based on the 16 instruction microprocessor I designed for a homework assignment, but is now up to 100 instructions and counting. If you want to know more technical aspects of this CPU or want to know how it evolved, refer to my other CPU / Logisim videos (reverse chronological order): My CPU & Computer Simulator - A Very Useful Tool For My Logisim CPU https://www.youtube.com/watch?v=Fwkt0emsCnY My CPU: Goodbye Gated Clocks! Hello Indirect Jumps (Now With More Programs) https://www.youtube.com/watch?v=exkqWAXH0y8 Converting My CPU to Verilog Via Logisim Evolution (for Eventual FPGA Board?) https://www.youtube.com/watch?v=zh_X6_6jCik Converting My CPU to VHDL Via Logisim Evolution (for Eventual FPGA Board?) https://www.youtube.com/watch?v=drIQLX6GrM4 My CPU / Computer: Conversion from Original Logisim to Logisim Evolution https://www.youtube.com/watch?v=yd7DeWTbfWQ My CPU With Improved Sound and MIDI Musical Keyboard Via Logisim https://www.youtube.com/watch?v=_VW074myq44 Using My Even More Improved CPU in a Full-Fledged Computer Via Logisim https://www.youtube.com/watch?v=Os-1ZQ6BXFI Testing and Improving My CPU Design with Logisim (And Digital Logic Basics) https://www.youtube.com/watch?v=YRacHluDx_g If you need a primer on logic gates or their implementation using transistors, etc., refer to my other videos: CMOS Transistor Logic Gates and SPICE Analysis (LTSpice, oregano, etc.): https://www.youtube.com/watch?v=kiDl0AdmkbQ NOR Gate Transistor Design and CMOS Gate Array Implementation: https://www.youtube.com/watch?v=Ikaji3Oj9cE NAND Gate Transistor Design and CMOS Gate Array Implementation: https://www.youtube.com/watch?v=MjfBSqkZ3yw ******************************************************************************* Links to various Verilog and VHDL processing programs Icarus Verilog main website: http://iverilog.icarus.com/ Icarus Verilog Windows binaries: http://bleyer.org/icarus Icarus Verilog Windows 32-bit binary download: http://bleyer.org/icarus/iverilog-10.0-x86_setup.exe GHDL: Version 0.34: https://github.com/tgingold/ghdl/releases GHDL: Version 0.34 (direct link (Windows)): https://github.com/tgingold/ghdl/releases/download/2017-03-01/ghdl-0.34-dev-mcode-2017-03-01-win32.zip GHDL: Version 0.33: https://github.com/tgingold/ghdl/releases/tag/v0.33 GHDL: Main github page: https://github.com/tgingold/ghdl GTKWave: Main sourceforge page: http://gtkwave.sourceforge.net/ ******************************************************************************* Link to notepad++: https://notepad-plus-plus.org/ ******************************************************************************* Here are links to various Logisim versions and Java: http://www.cburch.com/logisim/ (project website) https://sourceforge.net/projects/circuit/ (download page) https://sourceforge.net/projects/circuit/files/latest/download (easiest download link) Since the original creator of Logisim has discontinued work on it due to time constraints, others have created other versions using his code. Here are some different "forks" of Logisim: https://github.com/kevinawalsh/logisim-evolution (Improved Logisim Evolution fork by the author of the Cornell version of Evolution) http://reds-data.heig-vd.ch/logisim-evolution/logisim-evolution.jar (compiled program direct link. Need to "java -jar logisim-evolution.jar") https://github.com/reds-heig/logisim-evolution (source code (needs to be compiled) - click "Clone or download") https://codeload.github.com/reds-heig/logisim-evolution/zip/master (source code direct link) https://github.com/lawrancej/logisim (needs to be compiled. Click "Clone or download") https://code.google.com/p/logisim-iitd (project page) http://www.cs.cornell.edu/courses/cs3410/2017sp/logisim/logisim-evolution.jar (download link) http://www.cs.cornell.edu/courses/cs3410/2017sp (course page) Also, Digital is a similar program: https://github.com/hneemann/Digital (project page and download section. Needs to be compiled. Click "Clone or download") https://github.com/hneemann/Digital/releases/download/v0.9/Digital.zip (compiled program direct link) If you need JAVA: http://www.oracle.com/technetwork/java/javase/downloads/jre8-downloads-2133155.html http://www.oracle.com/technetwork/java/javase/downloads/index.html (general download page) https://www.java.com (general java page) Whichever Java package you choose, for safety reasons, you might want to disable the JAVA browser plugin if it gets installed (not to be confused with Javascript).
Views: 2051 MrMcsoftware
CodeRage XII - Steve McConnell - Managing Technical Debt
Join Steve McConnell, author of Code Complete, for this presentation on Managing Technical Debt as part of Embarcadero CodeRage XII. After the presentation, Steve joins us for a conversation on technical debt and software craftsmanship in general. Find all the amazing CodeRage XII replays online at Embarcadero Academy https://www.embarcaderoacademy.com/p/coderage-xii
Fireside Chat with Optimizely Co-founder and Executive Chairman Dan Siroker
On Aug 15, we had the pleasure to host Optimizely's CEO Dan Siroker at the new Atlassian Offices. Throughout the night, TechSydney CEO Dean McEvoy quizzed Dan and we got to hear more about the person behind Dan Siroker (and his twin), his journey throughout the years and future goals for Optimizely, and also if he believes in aliens! Thanks everyone for coming! Check out TechSydney and Optimizely: www.techsydney.com.au/ www.optimizely.com/
Views: 108 TechSydney
MIT Professor Walter Lewi's Physics 801 Lecture 29
Topics covered: This lecture reviews selected concepts previously covered in lectures 16 through 24.
Views: 4082 Chang Barrick
Offloading & CUDA: Parallelism in C++ #3/3 (also OpenMP, OpenACC, GPU & Coprocessors like Xeon Phi)
Computer programs can be made faster by making them do many things simultaneously. Let’s study three categorical ways to accomplish that in GCC. In the third episode, we study ways to offload code to various accelerators such as GPU on a graphics card. We also explore CUDA. The previous episode can be found at: https://www.youtube.com/watch?v=MfEkOcMILDo As a plot device in this tool-assisted education video, a Mandelbrot fractal is rendered. Twitter: https://twitter.com/RealBisqwit Liberapay: https://liberapay.com/Bisqwit (alternatives at http://iki.fi/bisqwit/donate.html) Twitch: http://twitch.tv/RealBisqwit Homepage: http://iki.fi/bisqwit/ OpenMP HQ: http://www.openmp.org/ OpenACC HQ: https://www.openacc.org/ You can contribute subtitles: http://www.youtube.com/timedtext_video?ref=share&v=kIA_UtdVabQ All downloads and compilation instructions: — https://github.com/bisqwit/cpp_parallelization_examples Background music: — Aoki Densetsu Shoot-bang — Game 01 — Kennosuke Suemura — Energy Breaker ­— Golden-Colored Wind — Yukio Nakajima — Tales of Phantasia ­— I Miss You — Motoi Sakuraba All music is played through OPL3 synthesis. Sound effects and foley are mostly from YouTube Audio Library. Some are recorded from video games like The Guardian Legend, Duck Hunt, Earthbound, and Super Mario All-Stars. Peter Penguin and Hazel Hopkins are characters of the Hackles webcomic which is © Drake Emko & Jen Brodzik. You can read it at: http://hackles.org/cgi-bin/archives.pl?request=1 #Bisqwit #Parallelism #Tutorial #Programming #Offloading #CUDA #NVidia #VectorCalculation
Views: 24052 Bisqwit
Science Commons
Google Tech Talks June 25, 2007 ABSTRACT Science Commons was launched to expand the Creative Commons mission into the scientific realm. James Boyle will be talking about two Science Commons projects: The Neurocommons and the Materials Transfer Project. The Materials Transfer Project uses standard machine readable licenses so that one day sharing biological materials between labs might be as easy as buying books from Amazon. If these words weren't forbidden at Google, he'd describe the Neurocommons as a first draft of an open "semantic web" for neurology. The overall goal is to take some of the ingenuity we devote to allowing teenagers to flirt with each other online, or people to share and find...
Views: 1953 Google
Data Engineers panel with Reddit, Thumbtack, Tapjoy,  and Google
Join Reddit, Thumbtack, and Tapjoy to discuss how they manage their big data with Google Cloud. Join: - Luis Bitencourt-Emilio, Principal Director of Engineering, Machine Learning at Reddit - Andreas Sekine, Software Engineer at Thumbtack - Robin Li, Director of Data Engineering and Data Science at Tapjoy - Felipe Hoffa, Developer Advocate at Google Cloud - Andrei Savu, Software Engineer at Twitter Recorded at the Data Engineers Club in San Francisco, November 2017 https://twitter.com/felipehoffa https://twitter.com/andreisavu https://twitter.com/bitoflime https://www.meetup.com/Data-Engineering-Club/
Views: 1254 Google Cloud Platform
Computing with Power Not Previously Possible with BigQuery & Compute Engine (Cloud Next '18)
Learn how the top research universities are utilizing tools such as Google Compute Engine, BigQuery, and preemptible virtual machines to drastically reduce the time from idea to discovery, run millions of simulations at lightning-fast speed, and scale research capabilities with ease. Get tips for moving workloads to GCP and understand the differentiators. DA112 Event schedule → http://g.co/next18 Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Lec 9 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
Lecture 9: Cache-Efficient Algorithms II Instructor: John Dong, Saman Amarasinghe, Charles Leiserson View the complete course: http://ocw.mit.edu/6-172F10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 2345 MIT OpenCourseWare
Ron Eglash: The fractals at the heart of African designs
http://www.ted.com "I am a mathematician, and I would like to stand on your roof." That is how Ron Eglash greeted many African families he met while researching the fractal patterns hed noticed in villages across the continent. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers are invited to give the talk of their lives in 18 minutes -- including speakers such as Jill Bolte Taylor, Sir Ken Robinson, Hans Rosling, Al Gore and Arthur Benjamin. TED stands for Technology, Entertainment, and Design, and TEDTalks cover these topics as well as science, business, politics and the arts. Watch the Top 10 TEDTalks on TED.com, at http://www.ted.com/index.php/talks/top10
Views: 93163 TED
Java and MicroProfile on Azure: Building microservices in style - BRK3343
This session dives into the steps required to design, build, deploy, and orchestrate a cloud native microservice architecture using Java and Eclipse MicroProfile. We use Red Hat’s MicroProfile implementation known as Thorntail, optimized for deployment to OpenShift and integrated with Azure services. Hear from Microsoft and Red Hat experts how adopting Cloud Native open source projects and open standards, while making use of tools, APIs, and Java specifications that developers are already familiar with, can allow you to achieve superior productivity. This session includes an overview of MicroProfile and demonstrations of how to put it into practice in the cloud.
Views: 171 Microsoft Ignite
A Framework for Interactive Learning
A Google Algorithms TechTalk, 10/9/17, presented by David Kempe, USC Talks from visiting speakers on Algorithms, Theory, and Optimization
Views: 1421 GoogleTechTalks
Lec 12 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
Lecture 12: Multicore Programming Instructor: Charles Leiserson, John Dong View the complete course: http://ocw.mit.edu/6-172F10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 2400 MIT OpenCourseWare
[@IndeedEng]: Large scale interactive analytics with Imhotep
Link to slides: http://www.slideshare.net/indeedeng/large-scale-interactive-analytics-with-imhotep In a previous talk, we explained how we developed Imhotep, a distributed system for building decision trees for machine learning. We went on to describe how we build large scale interactive analytics tools using the same platform. This has kept our engineering and product organizations focused on key metrics by analyzing test results. It also gives our marketing organization timely and accurate insight into our data - allowing us to identify opportunities, spot trends, and learn about our job seekers. In this talk, Zak Cocos, who leads our Marketing Sciences team, and Product Manager Tom Bergman will discuss and provide examples of the valuable insights that can be gained by using Imhotep with almost any data set.
Views: 2088 @IndeedEng Talks
Google I/O 2008 - Underneath the Covers at Google
Underneath the Cov I/ers at Google: Current Systems and Future Directions Jeff Dean (Google) Over the past several years, we have built a collection of systems and tools that simplify the storing and processing of large-scale data sets, and the construction of heavily-used public services based on these data sets. These systems are intended to work well in Google's computational environment, which consists of large numbers of commodity machines connected by commodity networking hardware. Our systems handle issues like storage reliability and availability in the face of machine failures, and our processing tools make it relatively easy to write robust computations that run reliably and efficiently on thousands of machines. In this talk I'll highlight some of the systems we have built, and discuss some challenges and future directions for new systems.
Views: 24758 Google Developers
LLBMC: The Low-Level Bounded Model Checker
Google Tech Talk (more info below) February 22, 2011 Presented by Carsten Sinz, Stephan Falke, & Florian Merz, Karlsruhe Institute of Technology, Germany. ABSTRACT Producing reliable and secure software is time consuming and cost intensive, and still many software systems suffer from security vulnerabilities or show unintended, faulty behavior. Testing is currently the predominant method to ascertain software quality, but over the last years formal methods like abstract interpretation or model checking made huge progress and became applicable to real-world software systems. Their promise is to reach a much higher level of software quality with less effort. In this talk we present a recent method for systematic bug finding in C programs called Bounded Model Checking (BMC) that works fully automatic and achieves a high level of precision. We present our implementation, LLBMC, which---in contrast to other tools---doesn't work on the source code level, but employs a compiler intermediate representation (LLVM IR) as a starting point. It is thus easily adaptable to support verification of other programming languages such as C++ or ObjC. LLBMC also uses a highly precise (untyped) memory model, which allows to reason about heap and stack data accesses. Moreover, we show how LLBMC can be integrated into the software development process using a technique called Abstract Testing.
Views: 3374 GoogleTechTalks
What is a Clinical Trial Management System (CTMS)?
Learn the basics of clinical trial management systems (CTMS). -- If you've ever wondered what a CTMS is, how one is beneficial, or how to select and implement one, then this webinar is for you. Join BioPharm Systems' Param Singh, vice president of clinical trial management solutions, for this one-hour session that will provide you with a basic understanding of clinical trial management systems. This webinar will answer the following questions: -What is a CTMS? -Which types of organizations need one? -How do you choose one? -How do you decide on an implementation strategy? -What are the best practices to consider for implementation? -What are some implementation pitfalls to avoid? To view this webinar in its entirety, please visit: http://www.biopharm.com or https://cc.readytalk.com/r/1s0dn4vwxki. Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc
Views: 14330 BioPharmSystems

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