Based on the instruction of the file below named “Team paper B instruction”, choose one topic of these three presentations’ PowerPoint to write an essay.
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Outline: Before writing the paper create an outline for the paper based on the structure for the term-paper, and must attach the outline at the end of your paper.
After completing Term Paper B, add a short creative 300-word section showing possible links (connections) between Term Paper A and Term Paper B, within the context of the development, management, and commercialization of technology. Call this section “Integration.” I’ll attach Term Paper A below.
CSE 170
Winter 2020
02-13-2020
From the IBM PS/2 Computer to the Smartphone: A
Perspective of the Computing Revolution from the Trenches
Sam Huynh, Principal Member of Technical
Staff, Advanced Micro Devices, Sunnyvale, CA
Abstract:
This talk will cover the technological and economic changes that enabled the computing
revolution for the past 35 years focusing on the last 25. In particular, I will discuss how
AMD’s innovations and products impacted those changes from the K5 to Ryzen and
Radeon to the APU.
AMD is a publically held company (NYSE: AMD) headquartered in Sunnyvale, CA with
10 major design centers in countries including Canada, China, and India. AMD is a
Fortune 500 company with approximately 10,000 employees worldwide and
approximately $5 billion in revenues for 2017. AMD products are sold at Target, Costco,
Best Buy and other major retailers.
About the Speaker:
Sam is a Principal at AMD and is responsible for developing methodologies using next
generation technologies for System on a Chip (SOC) Physical Design (PD) teams. For a
particular chip, he has the responsibility of implementing the chip from RTL (register
transfer level) to GDS and subsequent release to a foundry for manufacturing.
Before joining AMD, Sam held technical and management positions at Montalvo
Systems, ATI, ArtX and SGI. He has a Ph.D. in Electrical Engineering from the
University of Washington.
Next week: 02/20/20: Professor Ira Pohl, Computer Science, UCSC, on “Artificial
Intelligence and its Applications”.
CSE 170
Winter 2020
02/20/20
Artificial Intelligence and its Applications
Ira Pohl, Professor Emeritus
UCSC, Fellow of the ACM
Abstract:
Artificial Intelligence is considered one of the three major trends bringing us the
technological “Singularity”. We will discuss its origins, key ideas, important results,
and the current state of the art. We will also talk about the societal impacts: such as
the consequences of a robotically driven economy, and AI tools making significant
decisions such as when to shoot at the “enemy” on a chaotic battlefield.
About the speaker:
Professor Pohl is well known for AI theory connected to heuristic search and more
recently for programming in C++ MOOCs for Coursera.
Week 8 – 02/27/20: Kailey Oppenheim, Senior Manager, Accenture, on “Journey
of an IT Consultant.”
CSE 170
Winter 2020
02/27/2020
Modernizing the Workforce
Abstract:
How do we bring enterprises from antiquated technologies into the modern world? Imagine how
much time and money is spent using slow systems and manual processes. Each department
within an organization works in their own tools, creating siloes and a lack of communication
across the business. Many companies struggle with not only selecting the right technology to
solve this underlying issue, but also having the processes and people in place to support it.
Using a platform like ServiceNow allows each department within an enterprise to work
collaboratively together. As a cross-functional tool, ServiceNow can increase visibility to
business issues and transform them into opportunities for improvement. By having an efficient
governance model for application development, project management, and process
improvement, companies will see a spike in productivity and maturation in the workforce.
About the speaker:
Kailey Oppenheim graduated with a B.S. in Information Systems Management (TIM) from
UCSC in 2009. During her years at UCSC, she was heavily involved with ISMA and became co-
president of the club from 2008-2009. After graduating from UCSC, she worked both as an
Intern and Full time for Plantronics, which helped jump start her career. Kailey is currently
working as a Senior Manager for Accenture. Her knowledge of business aspects such as IT,
Finance, Human Resources, and Marketing allow her to design and implement process
optimization to over 100 companies worldwide ranging in industries such as retail, healthcare,
media, and banking. She has a Project Management Professional (PMP), certified in ITIL
Foundations v3, and a certified ServiceNow Administrator, Implementation Specialist,
Application Developer, and Trainer.
Next Week – 03/05/20: Ming Chao, Director, Netflix, on “Supply Chain Management at
Netflix”;
ARTIFICIAL INTELLIGENCE
2019
Ira Pohl
TIM Feb 21, 2019
Talk
What is AI?
A brief history
Use in Industry
Is AI an existential Threat
Future
UCSC work
What is AI?
AI – a science/engineering of intelligence
In analogy to aeronautical engineering/flying
AI – model of “human/cognitive” system
Is done as a theory of human intelligence
Acting humanly: Turing Test
Turing (1950) “Computing machinery and intelligence”:
Predicted that by 2000, a machine might have a 30% chance of fooling a lay person for 5 minutes
Anticipated most major arguments against AI
Loebner Prize
SIRI(Apple) Cortana(Microsoft) OK GOOGL(Alphabet)
Alexa(Amazon)
Thinking humanly: cognitive modeling
1960s “cognitive revolution”: information-processing psychology Newell and Simon GPS
Requires scientific theories of internal activities of the brain
— How to validate? Requires
1) Predicting and testing behavior of human subjects (top-down)
or 2) Direct identification from neurological data (bottom-up)
Thinking rationally: “laws of thought”
Several Greek schools developed various forms of logic: notation and rules of derivation for thoughts;
Direct line through mathematics and philosophy to modern AI
-Leibnitz,Boole
Kleene, Church, Turing – McCarthy, Robinson
AI prehistory
Philosophy Logic, methods of reasoning, mind as physical
system foundations of learning, language,
rationality
Mathematics Formal representation and proof algorithms,
computation, (un)decidability, (in)tractability,
probability,bayes
Economics/OR utility, decision theory
Neuroscience physical substrate for mental activity
Psychology phenomena of perception and motor control,
experimental techniques
Computer Science building fast computers, algorithms
Linguistics knowledge representation, grammar
Statistics bayes, big data
Abridged history of AI
1943 McCulloch & Pitts: Boolean circuit model of brain
1950 Turing’s “Computing Machinery and Intelligence”
1950s Early AI programs, including Samuel’s checkers
program, Newell & Simon’s Logic Theorist,
1956 Dartmouth meeting: “Artificial Intelligence” adopted
1980 AI industry –Symbolics & Knowledge Based Systems
1983 Learning theory – resurgence (after Minsky-Papert Perceptron)
1995 The emergence of intelligent agents
1997 Kasparov loses to Deep Blue
2003 iRobot – Roomba, Pacbot510
2011 Google Car –self driving 300,000 miles
2011 MOOCs – autograded classes, edX software
2014 Hawking “spell the end of the Human race” –BBC
2015 Google AlphaGo beats European champion-using learning
2016 IBM Watson does oncology (having won Jeopardy)
2017 Okay GOOGLE, Nest, Alexa – AI runs the home
2018 ALPHA-GO learns chess in two hours and beats STOCKFISH
2018 Protein Folding-Deepmind alpha-fold Dec 2018
Riba Description
RIBA — short for “Robot for Interactive Body Assistance” — was developed by researchers at Japan’s Institute of Physical and Chemical Research (RIKEN) and Tokai Rubber Industries, Ltd. (TRI). Designed primarily to assist nurses by lifting patients in and out of their beds and wheelchairs (as well as on and off the toilet), the 180-kilogram (400-lb) robot can safely pick up and carry people weighing as much as 61 kilograms (135 lbs).
RIBA -2008 Nurse Robot
Skilled Work without the Worker
NYT_ Aug 18, 2012 by John Markoff
Take the cavernous solar-panel factory run by Flextronics in Milpitas, south of San Francisco. A large banner proudly proclaims “Bringing Jobs & Manufacturing Back to California!”
Yet in the state-of-the-art plant, where the assembly line runs 24 hours a day, seven days a week, there are robots everywhere and few human workers. All of the heavy lifting and almost all of the precise work is done by robots that string together solar cells and seal them under glass. The human workers do things like trimming excess material, threading wires and screwing a handful of fasteners into a simple frame for each panel.
GO- Learning/MC
Go Program is now (Google Go program European Champ) about to surpass human ability
How: learning, big data, MC computation;
Distinctly not “human” cognition
Implication: Machine Intelligence is surpassing human ability in ways that humans cannot “understand”
State of the art
Deep Blue defeated the reigning world chess champion Garry Kasparov in 1997 -current best 3100+ vs 2800 for humans
Proved a mathematical conjecture (Robbins conjecture) unsolved for decades 1996 by EQP
No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) in 1995 -2005 132mile unknown terrain-completely autonomous
During the 1991 Gulf War, US forces deployed an AI logistics planning and scheduling program that involved up to 50,000 vehicles, cargo, and people
Roomba 2002 > Now pet hair version, mopping, eaves, windows
RIBA 2007
IBM WATSON- 2011 – wins Jeopardy against all time champs
Google robot Car 2012 300,000 miles Now >> 1,000,000
Achievements
LISP, Time Sharing
Games – early space war games
Intellectual Games – mastery in Chess, checkers, Hex, othello, backgammon, scrabble- and now GO and Poker
MACSYMA –Mathematica, MATLAB
DENDRAL(chemistry, medicine … experts)
WATSON-IBM
Robotics
Speech and Handwriting recognition (SIRI)
Large trends
Big data and learning- google can translate effectively between natural languages;
Big Computation- monte carlo simulations with simple metrics can outperform humans with deep knowledge
Yet to come
Will humans need to work?
GO store in Seattle –Amazon no cashiers
TESLA –autopilot for Semis
3.5 million cashier jobs, 5million driving jobs
Will their be a “singularity”
Is there an existential threat?
If work and intelligence do not define us; what does?
Baxter – $3.00 per hour
Rodney Brooks : general purpose trainable indutrial robot: cost $22,000.
AI reads minds??
‘MIND-READING’ ALGORITHM DECODES THE PICTURES IN YOUR HEAD
Researchers from ATR Computational Neuroscience Laboratories and Kyoto University in Japan developed a deep learning-based algorithm that can generate images from brain activity.
CYBORGS
AI HELPS AMPUTEE PLAY PIANO FOR FIRST TIME SINCE 2012
Georgia Institute of Technology researchers developed an ultrasonic sensor that allows amputees to control individual fingers on a prosthetic hand.
UCSC AI-and related
Pohl- Heuristic Search, Should Robots have Nuclear ARMs
Getoor- Big Data Inference
Mateas-Games Intelligent dialog for characters,Façade Interactive drama
Helmbold, Warmuth, Haussler- effective learning algorithms
Elkaim- Autonomous Sailboat > now a degree program
Lots of new people since I retired – check web pages
Modernizing the Workforce
Kailey Oppenheim
2
/27/2
02
0
1
Q&A
Solving for Efficiency
Introduction
About Accenture
DEMO: ServiceNow
Project Methodology
02
01
0
3
05
04
06
agenda
2
Copyright © 2020 Accenture. All rights reserved
.
3
Introduction
‹#›
Copyright © 2020 Accenture. All rights reserved
Certifications
ITIL Foundations v3
Project Management Professional (PMP)
ServiceNow Administrator
ServiceNow Implementation Specialist for IT Service Management, Human Resources, Customer Service, Project and Portfolio Management
ServiceNow Trainer
ServiceNow Application Developer
Kailey Oppenheim
kailey.oppenheim@accenture.com
‹#›
Copyright © 2020 Accenture. All rights reserved
4
Graduated from UCSC with a BS in Information Systems Management (now TIM)
ISMA Co-President (2008-2009)
2010
Started a new job as a ServiceNow Business Analyst Consultant at Navigis
2014+
2009
Internship with Plantronics, transitioned to a Full Time role
2012
Started a new role working for Macys.com
Current role: Senior Manager at Accenture
2013
Navigis acquired by Cloud Sherpas
Cloud Sherpas acquired by Accenture
My Career Journey
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
5
Service Desk Intern
Business Analyst
Manager
Senior Business Analyst
Senior Manager
My Role at Accenture
Senior Manager
Work with clients in various industries to identify opportunities for efficiency
Propose projects to the client, write the Statement of Work (SOW), staff the delivery team, and manage the delivery and implementation
Team Lead
Lead a team of 7 people
Advise and support career growth
Assign team members to projects
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
A Typical Work Day…
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Working from home
On the road
Travel about 80%
Visit the client’s office and work with stakeholders
Schedule and facilitate meetings to ensure we are meeting their vision
Design a roadmap for future work
No commute
Meetings using VoIP (screen share, web cam, digital whiteboards)
Start the day when the client starts
8
About Accenture
‹#›
Copyright © 2020 Accenture. All rights reserved
Accenture is a leading global professional services company
We provide a broad range of services and solutions in strategy, consulting, digital, technology and operations.
Leveraging our deep expertise across industries and business functions, we help organizations shape their vision for the future
We drive innovation to develop and implement differentiated solutions that accelerate growth and increase efficiency – and we may run parts of clients’ businesses on their behalf
Ultimately, we enable clients to maximize their performance and create sustainable value for their stakeholders
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Accenture is a leading professional services company, with capabilities in strategy, consulting, digital, technology and operations.
Leveraging our deep expertise across industries and business functions, we help organizations shape their vision for the future
We drive innovation to develop and implement differentiated solutions that accelerate growth and increase efficiency – and we may run parts of clients’ businesses on their behalf
Ultimately, we enable clients to maximize their performance and create sustainable value for their stakeholders
9
How Does Accenture Collaborate?
TRANSFORMS
Management Consulting
Technology Consulting
SHAPES
Business
Strategy
Technology
Strategy
DIGITIZES
Interactive
Mobility
Analytics
POWERS
Application
Services
Labs
Ecosystem
Alliances
OPERATES
As a Service
Business Process
Cloud
Security
A global consulting firm providing professional services to clients. This can include subject matter expertise, staff augmentation, or helping clients with innovative ideas to operate at the next level.
There are 400,000+ Accenture employees world wide!
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Accenture Strategy is where we shape our clients’ future… combining deep business insight with the understanding of how technology will impact industry and business models.
In Accenture Consulting, we transform, bringing together the very best of Accenture to help our clients transform their businesses to compete in today’s digital world.
In Accenture Digital, we digitize, enabling our clients to unleash the power of digital… by providing analytics, interactive marketing and mobility services to create new value.
Accenture Technology is where we power our clients’ businesses with “best in class” established and emerging technologies.
And Accenture Operations is where we operate business processes and infrastructure as a service on behalf of our clients.
We are the only company with the ability to combine and integrate these end-to-end capabilities—strategy, consulting, digital, technology and operations—in an industry context.
10
OUR GLOBAL DELIVERY NETWORK
DELIVERS AT SPEED AND AT SCALE
The largest and most diversified group of strategy, digital, technology and operations professionals in the world
More than 50 delivery
centers across five continents, offering services in 39 languages
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
11
12
The Business Problem
‹#›
Copyright © 2020 Accenture. All rights reserved
Enterprise Organization
There are many departments within an organization
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Common business problems
Departmental
silos
Manual
Processes
Redundancy
Offline
tools
Copyright © 2020 Accenture. All rights reserved.
‹#›
Common business problems
Departmental
silos
Manual
processes
Redundancy
Offline
tools
Copyright © 2020 Accenture. All rights reserved.
‹#›
Departmental Silos
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Departments are often using different technologies or tools
Processes aren’t defined to work seamlessly across the enterprise
Transferring work between departments is slow and inefficient
Common business problems
Departmental
silos
Manual
processes
Redundancy
Offline
tools
Copyright © 2020 Accenture. All rights reserved.
‹#›
Manual processes
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
18
Manual processes
Entering data
Creating reports
Approving requests
Fulfilling requests
Lack of enterprise knowledge
No standards
No central repository
No FAQs or How to guides
Who owns the knowledge?
Common business problems
Departmental
silos
Manual
processes
Redundancy
Offline
tools
Copyright © 2020 Accenture. All rights reserved.
‹#›
Redundancy
Entering the same data into two different systems AKA “Swivel Chair”
From an offline form into an online form
Two systems without an integration between them
Lack of documentation of communication between customer and service provider leads to repeated conversations
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Common business problems
Departmental
silos
Manual
processes
Redundancy
Offline
tools
Copyright © 2020 Accenture. All rights reserved.
‹#›
Tools hindering business productivity
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Email
Paper forms
Offline or non-shared documents
Multiple enterprise applications
Poor customer/ user experience
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Dissatisfied employees reduce productivity
Manual processes slow down the business
Evolution of “Shadow IT”
Dissatisfied end users
24
Solving for Efficiency
‹#›
Copyright © 2020 Accenture. All rights reserved
One enterprise platform
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
SaaS, or Software as a Service, is a cloud solution that can provide businesses with an easy product to develop, maintain, and secure.
Having one platform across the enterprise allows transparency, efficiency, and standardization.
Accenture’s ServiceNoW Practice
…by the numbers
5,000+
ServiceNow Projects
175+
Global 200 Customers
ServiceNow Global 2000 Customers Supported
9.7
YTD CSAT
Calendar Year 2020
7,000+
Students Trained on ServiceNow
250 Classes delivered in 2020
6,380+
Share Downloads
Average 5-star rating
1,850+
ServiceNow & ITSM Certifications
2,250+
ServiceNow Skilled Resources Globally
1,200+
ServiceNow Initial Implementations
1
Forrester ITSM Leader
Only Dedicated ServiceNow
Services Partner in the Leader Wave
1
HfS Winners Circle, Blueprint for ServiceNow Service Assessment
3x
ServiceNow Federal Partner of the Year
2
ServiceNow Store Apps Legal & Security
We Are ServiceNow’s Largest Professional Services Partner
Global Strategic Partner
Gold Sales Partner
Gold Services Partner
Authorized Training Partner
‹#›
Copyright © 2020 Accenture. All rights reserved
As a partner in the ecosystem for more than 10 years, we have continued to invest in growing our capabilities and partnership with ServiceNow.
Accenture’s ServiceNow Practice
Continuously Investing in Growth
Accenture acquires Cloud Sherpas
ServiceNow Federal Partner of the Year (3x)
K15 Partner Award – Highest Partner CSAT
Cloud Sherpas named Leader by Forrester for ITSM Implementation Services
Accenture and ServiceNow sign strategic alliance agreement
Accenture achieves ServiceNow global systems integrator status
Cloud Sherpas one of the first Master Services Partner
Accenture builds formal ServiceNow offering
Accenture launches ServiceNow practice
Cloud Sherpas first ServiceNow Preferred Services Partner
Accenture
co-authors
ITIL Service Strategy book
Cloud Sherpas (Navigis)
begins offering clients ServiceNow capabilities
Accenture largest global ServiceNow Strategic Partner
Named Gold Partner – Sales, Services and Technology
Largest ACV Revenue Contributing Partner
Awarded Trainer of the Year
Awarded Most Partner Certifications
Acquired Nashco
2007
2013 – 2014
2011-2012
2015
2018
2020
Named Global Strategic Partner by ServiceNow
Top Sponsor of ServiceNow’s SKO & K19
Awarded Highest CSAT (EMEA)
Awarded ServiceNow Top Influencer
Acquisitions
‹#›
Copyright © 2020 Accenture. All rights reserved
About ServiceNow
NYSE: NOW
4,000+
Enterprise Customers
10,000+
Global Employees
Major Sites
San Diego, Silicon Valley, Seattle, Amsterdam,
London, Sydney, Israel, India
‹#›
Copyright © 2020 Accenture. All rights reserved
Global enterprises from all industries rely on ServiceNow
‹#›
Copyright © 2020 Accenture. All rights reserved
‹#›
Copyright © 2020 Accenture. All rights reserved
Advanced High Availability Architecture
Global Data Center Pairs
ServiceNow’s data centers are arranged in pairs. ServiceNow has 8 data center pairs (for a total of 16 data centers) across four geographic regions including Asia Pacific Japan (APJ); Europe, Middle East and Africa (EMEA); North America; and South America. Within several of these regions, there are specific country pairs for Canadian, U.S., Australian, and Swiss customers.
ServiceNow’s data centers and cloud-based infrastructure have been designed to be highly available. All servers and network devices have redundant components and multiple network paths to avoid single points
of failure.
Through ServiceNow’s unique, multi-instance architecture, Advanced High Availability meets and exceeds stringent requirements surrounding data sovereignty, availability and performance.
‹#›
Copyright © 2020 Accenture. All rights reserved
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Copyright © 2020 Accenture. All rights reserved
What ServiceNow can do
Photo by: ServiceNow
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Copyright © 2020 Accenture. All rights reserved
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Copyright © 2020 Accenture. All rights reserved
31
32
ServiceNow Demo
‹#›
Copyright © 2020 Accenture. All rights reserved
33
Project Methodology
‹#›
Copyright © 2020 Accenture. All rights reserved
Benefits of Agile – in the Context of Training
34
Copyright © 2020 Accenture All Rights Reserved.
34
Waterfall Methodology vs. Agile Methodology
35
Copyright © 2020 Accenture All Rights Reserved.
Q&A
36
*
| Styx Review | January 23, 2013 | Confidential – Internal Only
FROM THE PS/2 TO THE SMARTPHONE, A PERSPECTIVE OF THE COMPUTING REVOLUTION FROM THE TRENCHES
Sam Huynh
Principal Member of Technical Staff
October 24, 2019
Agenda
Who am I?
Introduction to AMD
My role inside AMD
From the PS/2 to the smartphone, a perspective of the computing revolution from the trenches
Q and A
*
*
Who am I?
Born in Saigon (now known as Ho Chi Minh City), Vietnam at the end of the Vietnam War.
Family immigrated to Seattle, Washington after the Vietnam War
Grew up in Seattle and eventually attended the University of Washington
BSEE ’94, MSEE ‘96 and Ph.D. EE ’99
Relocated to Mountain View, CA in ‘98 and now live in Santa Cruz, CA
Three patents (ATI/AMD)
Dynamic impedance compensation circuit and method
Bit deskewing IO method and system
Methods and apparatus for transmitting and receiving data signals
*
*
Career Journey
*
*
Cascade
Design
Automation
Introduction to AMD
Advanced Micro Devices (AMD), Inc was founded on May 1, 1969 and is based in Santa Clara, CA.
The company designs, develops, and sells microprocessor products, such as central processing units (CPU), accelerated processing units (APU), and graphics processing units (GPU) for servers, desktop PCs, and mobile devices.
Its microprocessors for server platforms include AMD Epyc series processors (previous generations include Opteron);
CPUs for desktop and mobile PC platforms comprise the AMD Ryzen 3, 5, 7, M and Threadripper
APU processors are a combination of Ryzen + Vega
Discreet graphics solutions include Radeon and Radeon HD series (Vega)
AMD controller hub-based chipsets for its APUs; and graphics, video, and multimedia products for use in desktop and notebook computers
*
*
World wide locations
*
*
Sunnyvale, CA
Austin, TX
Orlando, FL
Toronto, Ontario
Boston, MA
Beijing, China
Shanghai, China
Bangalore, India
Hydrabad, India
9 major
design
centers
world wide
Approximately
8,000 employees
World wide
About AMD
The AMD mission: To be the leading designer and integrator of innovative, tailored technology solutions that empower people to push the boundaries of what is possible
Operations in 31 countries with more than 50 locations, including more than a dozen R&D facilities, nearly two dozen international sales offices, and assembly/test manufacturing facilities in Malaysia and China
Fortune 500 company
2019 revenues of $6.73 billion
Main competitors:
*
*
AMD and YOU
Great brands join with AMD to bring their products to life
Technology providers you know and trust, such as Acer, Apple, Asus, Cisco, Dell, GE, HP, Lenovo, Microsoft, Nintendo, Samsung, Sapphire, Sony, Toshiba, Vizio, and XFX.
These leading brands count on AMD to find innovative ways to power the solutions they create for the different ways you work and play with technology in your every day life.
Named Top 100 best corporate citizens of 2013 by the Corporate Responsibility (CR) Magazine
Innovation and technology are what we do, but responsibility is who we are.
AMD was founded on the belief that if you put people first, products and profits will follow.
Today we call this culture The AMD Way.
It means doing business in a responsible way, caring for the environment and contributing to our communities.
*
*
AMD Time line (1969 – 2010)
*
*
AMD Founded
5/1/1969
1970
1980
1990
2000
2010
ATI acquires
ArtX in 2000
AMD acquires
ATI in 2006
AMD signs on
as second source
for x86 in 1982
AMD introduced
K5; split with Intel
in 1996
Athlon 64
Introduced in
2003
ATI Founded
In 1985
ATI introduced
Radeon in 2000
GameCube
In 2001
Wii in
2006
Xbox 360
in 2005
AMD was founded in
1969 by a group of former
executives from Fairchild
Semiconductors.
AMD became a fabless semiconductor
company in 2009 with the spin off of foundry
operations to become Global Foundries.
Dual core 2005
AMD Time line (2010 – 2019)
*
*
2010
2015
AMD introduce
APUs in 2011
Wii U in
2012
AMD Seattle
64 bit ARM sever
in 2014
Xbox one/PS4
in 2013
Carrizo introduced in 2015
Radeon
HD8000
In 2013
Radeon Fury X
In 2015
2016
2017
Polaris line
June, 2016
Launched in early 2017
Epyc launched in mid 2017
Vega GPU Q3 2017
2018
Ryzen gen 2 Apr 2018
AMD Time line (2019 – Present)
*
*
2019
2020
Ryzen Gen 3 2H 2019
2021
2022
Radeon VII Febv
2023
Radeon RX 5700 XT
Navi
My role inside AMD
Responsible for developing methodologies using next generation technologies (3nm)
Our main mission:
Convert source code into an actual silicon chip
This process is known as RTL-to-GDS
Register Transfer Level (RTL) is a form of verilog used to describe the chip’s functionality
Graphic Database System (GDS) is the geometrical information released to foundries for silicon manufacturing
Work with teams in Austin, Boston, Toronto, and India
Create synergies for cross functional teams and inter disciplines
Work with flex time
Cycles (CES, E3, back to school, and Christmas)
*
*
RTL-to-GDS
*
*
Input: RTL
Synthesis
DRC/LVS
Floorplanning
Place and Route
Timing closure
Output: GDS
to the foundry
Converts high
level description
language into
physical gates
Organizes blocks
based on timing
and connectivity
Makes the physical
connections
Design Rule Check (DRC)
Layout Versus Schematic (LVS)
Meets frequency
specs
FROM THE PS/2 TO THE SMARTPHONE, A PERSPECTIVE OF THE COMPUTING REVOLUTION FROM THE TRENCHES
*
*
How did we get from…
*
*
$3000 ($6926.95 in 2019 dollars) in
1987 with university student
discount
~$600 with 2 year commitment
(in 2019)
This is how…
Demand: Performance, Power, and Price
Globalization
Foundry/circuit technology
Electronic Design Automation (EDA) tools
*
*
Performance, Power and Price
Performance
Clock frequency
IPC (Instructions Per Cycle)
Power
Maintain a certain level of performance but reduce power consumption
Battery life
Price
Lower and keeps getting lower
More features
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Globalization
How do we improve performance, reduce power, lower cost/price and still make money?
Performance and power foundry/circuit tech
Increase market size expand world wide specifically China, India, Brazil, etc…
Intellectual competition especially Taiwan, China and India
TSMC is the world’s largest independent semiconductor foundry (founded in 1987)
Effective “24 hour” operation
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Foundry/Circuit technology
Foundry technology
Bipolar junction transistors (BJT) Complimentary Metal Oxide Semiconductor (CMOS)
Feature size: 3um (3000nm) 3nm
Approximately 1000x reduction in approximately 40 years
Circuit technology
Serial links
ISA EISA PCI, AGP USB, PCIE, and SATA
Main Memory
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BJT versus CMOS
Advantages of CMOS over BJT
CMOS is a better switch
Effective zero static power consumption
High packing densities
Relative easy design, integration and manufacturing process
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Radeon from 2000 – 2019
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8086 – APUs
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Year Technology Voltage Bus width Freq.
8086 1976 3000nm > 5V 16 bits 5MHz – 10MHz
286 1984 1500nm 5V 16 bits 8MHz – 20MHz
368 1991 1500nm – 800nm 5V 32 bits 20MHz – 40MHz
486 1993 500nm 3.3V – 5V 32 bits 25MHz – 100MHz
5×86 1995 350nm 3.3V – 3.45V 32 bits 133MHz – 150MHz
K6 1997 350nm 2.9V – 3.3V 32 bits 166MHz – 300MHz
Athlon 1999 250nm – 130nm 1.6V – 1.8V 32 bits 500MHz – 2.33GHz
Athlon64 (first dual core) 2003 130nm – 65nm 1.3V – 1.5V 64 bits 1GHz – 3.2GHz
Phenom (2 – 6 cores) 2007 65nm – 45nm 1.2V 64 bits 2GHz – 3.8GHz
APU (2 – 8 cores with GPU) 2011 32nm 1.2V 64 bits 3GHz – 5GHz
Ryzen (4 – 16 cores) 2017 14nm 1.1V 64 bits 3GHz – 5GHz
Ryzen 3rd gen (4 – 32 cores) 2019 7nm 1.1V 64 bits 3.6GHz – 5HGz
APUs
Raven Ridge 2017: Zen
Picasso 2019: Zen+
Renoir 2020: Zen-2
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Age of Parallel Computing
SISD = Single Instruction Single Data
8086 – 486
SIMD = Single Instruction Multiple Data
Graphics Processing Units (GPU) – Radeon
MISD = Multiple Instruction Single Data
No personal experience with this architecture
MIMD = Multiple Instruction Multiple Data
Multi-core CPU (Athlon, Phemon, Ryzen, etc…)
APU = Accelerated Processing Unit
Mulit-core CPU + GPU (MIMD + SIMD)
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Parallel versus Serial links
Parallel link transmits several streams of data simultaneously along multiple channels (wires, etc…)
Pros: Easier to design
Cons: More pins (more area), limited data rate
Serial link transmits a single stream of data
Pros: Fewer pins (less area), higher data rate
Cons: Design complexity
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BUS interfaces (1981 – now)
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Style Bus Width Bit rate
ISA Parallel 8 or 16 8/16/32 Mbytes/s Industry Standard Architecture
EISA Parallel 32 33 Mbytes/s Extended ISA
VLB Parallel 32 100/133/166/200 Mbytes/s Video Electronics Standards Association local bus
PCI Parallel 32 or 64 133/266/533 Mbytes/s Peripheral Component Interconnect
AGP Parallel 32 2133 Mbytes/s Accelerated Graphics Port
ATA Parallel 16 16/33/66/100/133 Mbytes/s PC/AT Attachment
USB Serial 1 1.5/12/480/5000/10000 Mbits/s Universal Serial Bus
PCIe Serial 1 250/500/985/1969 Mbytes/s PCI express
SATA Serial 1 1.5/3.0/6.0 Gbits/s Serial ATA
DRAMs (Dynamic random access memory)
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HBM 2016 Peak bandwidth = 128GBps
HBM2 2019 Peak bandwidth = 460GBps
DRAM density
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High Bandwidth Memory
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AMD Polaris with HBM
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Today’s tools to build tomorrow’s technologies
Electronic Design Automation (EDA) tools
Cadence (Virtuoso), Synopsys (PrimeTime), Mentor Graphics (Calibre), etc…
Linux (approximately 2003 to present)
Enabled cheap PCs (~$2K) to replace specialized expensive servers (~$20K)
Get a lot more compute for the same price
Multi-threading (approximately 2007 to present)
Took advantage of multiple cores
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All that leads to this…
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CPU
Northbridge
Southbridge
AGP
48GB DDR4
DRAM
3000MHz
Single core
ATA 300MB
My build in 1994
$2000 ($3512.44 in 2019 dollars)
My son’s build in 2020
(< $2249)
SB
Graphics
NB
Ryzen 9
12 cores
4MB SDR
DRAM 133MHz
KB
M
USB
SATA – 4TB
752GB SSD
PCIe
PCI
VLB
Network
Dual GFX
cards
KB
M
other
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1994
2000
2006
2013
2013
2012
2006
2001
1996
1991
1985
2005
2001
Conclusion
The Revolution continues
Companies that can adapt and evolve continues to survive (AMD)
Because you demand more performance, less power, lower prices
The electronics industry responds with innovations in technology
And AMD puts it all together and brings those products to you.
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Q & A
Open forum – questions and answers
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CSE170 Term Paper B
Instructions for Term Paper B, and for completing the required coursework (due on canvas, on
Thursday, 03/12/20).
Course website: https://canvas.ucsc.edu/courses/30042
A. General feedback for the class based on reading Term Paper A
• The quality of work on Term paper A ranged, for the most part, from good (A-) to excellent (A+).
• If I made suggestions for improvement, then you can use these suggestions to revise and re-submit your
paper. Keep these comments and suggestions firmly in mind as you work on Term Paper B (the new
topic).
• On composition: Make the paragraph the unit of your composition, which means the following. Start
each paragraph with a sentence expressing a single idea or theme. Then use the paragraph to develop this
single idea (only). Do not jump to other ideas in the same paragraph, unless the purpose of the paragraph
is to compare or contrast two or more ideas. Use real examples from the speaker’s presentation to
illustrate your ideas. End the paragraph with a conclusion/bridge to the next paragraph. Finally, make sure
that your paragraphs tell a continuous story.
B. Instructions for Term Paper B (Topic 2) and for the final submission of the work
required for this course (due in-canvas, on Thursday, 03/12/20):
1. Term Paper A. First complete Term Paper A: This may require you to refine and expand your Term
Paper A based on my feedback and suggestions.
2. Choose a Topic for Term Paper B. For Term Paper B, choose, as the topic, one of the eight
speakers (including today’s speaker) presentations . The speaker presentation that for you choose for
Part B must be different from the one you selected for Term Paper A.
3. Term Paper B. Write Term Paper B using the guidelines that were given for writing Term Paper A.
First create a structured outline for Term Paper B. (Please remember to submit your outline within
the same document.) Then expand this outline into a short 1500-2000 word paper (approximately
6-8 double-spaced pages) term paper clearly structured into sections (and subsections if appropriate)
with appropriate headings for each section.
4. Integration. After completing Term Paper B, add a short creative 300-word section showing
possible links (connections) between Term Paper A and Term Paper B, within the context of the
development, management, and commercialization of technology. Call this section “Integration.”
5. Attach all outlines at the end. It is also recommended that you have a table of contents.
Submit the final version of your completed work (Term Paper A, Term Paper B; Integration; Outline of
Term Paper A, Outline of Term Paper B in 1 single document) on Canvas on Thursday, 12 March, 2020.
(No extensions).
https://canvas.ucsc.edu/courses/30042
The Correlation between Water and Energy
Freshwater management and supply in cities and towns is a difficult issue for suppliers
to ensure. This issue is how to supply freshwater to every point needed in a timely manner with
the right quality and quantity. Water is the basic need of society. Therefore, it is necessary to
come up with strategies to ensure that communities have adequate and quality water in a timely
manner after interventions are taken.
Energy also faces the same problem, that is, society cannot make full use of energy
when it is needed. The relationship between water and energy makes it necessary for
management to propose strategies to intervene in natural systems, because both energy and
water come from natural resources, which means that proper management of natural therapies
can help solve the current shortage of hydropower. The correlation between water and energy
makes it necessary to conduct research on both at the same time, as electricity can be used to
generate water, and water is useful to society in different ways, such as irrigation purposes,
industrial use, mining, domestic use supplied in homesteads, livestock use, and commercial use
(Marcus, 1991).
Energy also depends on water to some extent, for example, water can be used to
facilitate the movement of the electrical machine responsible for generating electricity. Water is
also used by different agencies responsible for energy generation, as water is used as a coolant
to help maintain the temperature of such machines.
Hypothesis
Increased use of water leads to increased demand for energy.
Research question
What is the linkage between water and energy resources?
Discussions
There is a high correlation between water and energy use. When increasing water use,
this means that energy use should also be improved to meet the growing demand for water,
which is essential to ensure pumping and supply to the general public.
Pumping water from machines and pumps requires energy. Therefore, when there is
pressure for increased demand of water from the society, this means that the amount of energy
needs to be increased. Because it is responsible for water pumping, this means that the more
power, the more water is pumped and supplied, and vice versa. So it’s clear that when society’s
demand for water increases, it will put pressure on the demand for energy because it will then
need more electricity to help pump more water to meet society’s needs.
When water is pumped from the source, for example, rivers or other sources, it contains
impurities that are not healthy for human consumption. It is, therefore, essential for the
management team of water supply to the society to come up with a proper water treatment
process that will ensure that water is purified and safe for human consumption. The purification
process also requires energy for the process to run faster. Therefore, when the demand for
water increases, it means that the purification need will also increase, meaning that a lot of
water will require to be purified, which will lead to increased energy requirement.
When the demand for water increases, naturally there will be increased demand for
water equipment from the companies responsible for water pumping and supplying to the
society. When the demand for water equipment rises, companies accountable for the
manufacturing such equipment need to use more energy to manufacture the increased amount
of machines demanded. This example clearly explains the close relationship exists between
water and energy resources where they complement each other, and there is no way one can
work without another.
Monitoring water systems requires energy. Water supply is a process, and failure of one
stage in the process will ultimately affect the amount of water supplied. Therefore, the water
supply management team will usually use the monitoring and evaluation team to ensure that all
processes are running properly for the benefit of the company and society. Because when the
process is running normally, waste is minimized and the company will be in position to reduce
its cost of production which enables it to maximize its profit. For the case of the society, when
the quality of water being supplied is appropriate, it is safe for the health of the members using
the pool. But for the monitoring team to effectively perform the monitoring exercise successfully,
it will require a lot of effort while using inspection machines and other tests.
Heating and cooling of water is a mandatory process in any water treatment process as
it helps to soften the water to remove impurities, which are unnecessary minerals that come
from the soil and rivers and are not suitable for human use. Another reason why heating is
essential is that it helps in killing the germs that are usually found in natural water because such
water is not protected. In order to heat and cool water, energy is a mandatory requirement. The
demand for electricity means that as the demand for water increases, more water will be
needed, which will result in the heating and cooling of large amounts of water, which justifies the
claim that increased water consumption leads to increased energy demand.
Water is also useful, it depends on the energy that pumps it and provides it to society.
Thermal power plants used to generate electricity also require water, which means that
electricity is also required for power generation to function properly. When energy demand
increases, this means that more electricity will be needed and the machines used to generate
electricity will work for a long time. Long hours of work will require more water to cool to ensure
that the equipment operates properly.
Hydropower is a type of energy generation that requires fast flowing water to generate
electricity. As the demand for energy increases, this means that the use of water will increase as
well, as hydropower depends on moving water to make electricity successful. The more energy
required, the more flowing water at high speed is necessary.
Fossil fuels are the energy used by different companies in the manufacturing process,
and thermal energy is required to make the process successful. When electricity demand
increases, it means that the company needs to generate more power, so the demand for fossil
fuels will also increase. Fossil extraction requires water, so as to demand fossil fuels increases,
this means that the process will require more water to facilitate increased extraction work hours.
When water and energy systems are linked, it means that the reduction in usage of one
also leads to a decline in the usage of another. For example, pumping less water from the
ground, it will automatically reduce the energy used for the pumping. Demanding less electricity,
which is one form of energy, it will mean that less water will be required for cooling purposes.
When the water supply management team invests in water efficiency devices, it means that less
energy will be required for purification and other processes.
A data system that can help in ensuring that water and energy is supplied effectively
For an adequate and successful supply of water, the management needs to come up
with a monitoring team that will be mandated to inspect the pipes to detect any leakages
continuously. Leakages are the main challenge to the water supply because pumps can be
pumping enough water, but what reaches the market is little. It, therefore, essential for the
management to have leakage detection gadgets that will help them detect immediately in case
there is a leakage by the use of technology.
Conservation monitoring is also another essential measure of ensuring a steady supply
of water and energy because they both depend on natural resources. When natural resources
are monitored and conserved as required, for example, flowing rivers, then the supply of
hydropower will be high. When forests are saved, then it will be one way of protecting the river
ban. As a result, no river will dry up, ensuring a continuous supply of water to society.
Fire risk and response is another mechanism of ensuring a smooth and continuous
supply of energy to society. Power is dangerous if not appropriately managed, and it can lead to
loss of life and damage of property. It is therefore essential for the company responsible for the
supply of energy to have a response team that will be used in case of any crisis to rectify the
issue and ensure that the society enjoys the benefit of the power.
Water monitoring quality is another way of ensuring that the water that is being supplied
to society is of high quality. Water is sensitive to human life. Therefore, it is essential for the
team responsible for the supply of water to the community to ensure that it is free from germs
and other harmful impurities. To achieve monitoring exercise, laboratory tests should be used
and not just physical examination (Sahin et al., 2016).
Using the Santa Cruz water supply as a case study
Santa Cruz uses different technologies to ensure that city people get enough and
high-quality water. The methods they use in supplying water include the use of pumps that
pumps water from underground then it is directed to storage tanks by use of pipes. The system
is constructed in a manner that is flood protected where there is an overflow opening, and this
minimizes the chances of a spillover effect to the city members. It has a proper water treatment
process where germs and other harmful impurities are removed from the water to ensure that it
is safe for human consumption.
In conclusion, there is a high correlation between energy and water and increases in the
usage of one; it automatically leads to increased demand for the other. It is, therefore, essential
to coming up with practices that will ensure that natural resources are conserved for a
continuous and steady supply of water and energy to society.
Work Cited
Marcus, Y. (1991). Linear solvation energy relationships. Correlation and prediction of the
distribution of organic solutes between water and immiscible organic solvents. The Journal
of Physical Chemistry, 95(22), 8886-8891.
Sahin, O., Siems, R. S., Stewart, R. A., & Porter, M. G. (2016). The paradigm shift to
enhanced water supply planning through augmented grids, scarcity pricing, and adaptive
factory water: a system dynamics approach. Environmental Modelling & Software, 75,
348-361.
