This document discusses graphics hardware components and display technologies. It describes the basic components of a graphics system including the display, graphics accelerator, video memory, and graphics processor. It then covers different display technologies such as CRT, LED, LCD, plasma panels, DLP, and OLED. It discusses various trade-offs between these technologies like cost, power consumption, resolution, brightness, etc. The document goes on to describe specific display technologies in more detail like CRTs, color CRTs, LED, LCD, plasma panels, and DLP. It also covers topics like raster vs vector graphics, frame buffers, refresh rates, scan controllers, graphics buses, graphics accelerators, and GPUs.
GPU compute has leveraged discrete GPUs for a fairly limited set of academic and supercomputing system workloads until recently. With the increase in performance of integrated GPU inside an Accelerated Processing Unit (APU), introduction of Heterogeneous System Architecture (HSA) devices, and proliferation of programming tools, we are seeing GPU compute make its way into mainstream applications. In this presentation we cover GPU compute and HSA, focusing on the application of GPU compute in the Medical and Print Imaging segments. Examples of performance data are reviewed and the case is made for how GPU compute can deliver tangible benefits.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
GPU compute has leveraged discrete GPUs for a fairly limited set of academic and supercomputing system workloads until recently. With the increase in performance of integrated GPU inside an Accelerated Processing Unit (APU), introduction of Heterogeneous System Architecture (HSA) devices, and proliferation of programming tools, we are seeing GPU compute make its way into mainstream applications. In this presentation we cover GPU compute and HSA, focusing on the application of GPU compute in the Medical and Print Imaging segments. Examples of performance data are reviewed and the case is made for how GPU compute can deliver tangible benefits.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
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In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
7. Color CRT
Color = (red, green, blue)
Red = 0 to 100%
Green = 0 to 100%
Blue = 0 to 100%
Black = (0,0,0)
White = (1,1,1)
Red = (1,0,0)
Green = (0,1,0)
Blue = (0,0,1)
…
3 electron guns, 3 color phosphor dots at each pixel
12. Trade-offs
Peak brightness
Black level
Contrast
Screen brightness
Motion artifaces
Aging
Maximum resolution
Thickness
Weight
Power consumption
Rear projection
Front projection
Direct view
Backlit
http://www.displaymate.com/ShootOut_Comparison.htm
13. Random Scan Order
Old way: No pixels - The electron gun
draws straight lines from location to
location on the screen (vector graphics)
a.k.a. calligraphic display,
Random scan device, vector drawing
display
Use either display list or
storage tube technology
15. Raster Display graphics
Based on (analog) raster-scan TV technology
The screen (and a picture) consists of discrete pixels
Digital Display
16. How CRT draws a picture
We have only one electron gun but
many pixels in a picture need to be lit
simultaneously…
17. Refresh of CRT
Refresh – the electron gun needs to come back to
hit the pixel again before it fades out
An appropriate fresh rate depends on the property of
phosphor coating
Phosphor persistence: the time it takes for the
emitted light to decay to 1/10 of the original intensity
Typical refresh rate: 60 – 80 times per second (Hz)
(What will happen if refreshing is too slow or too
fast?)
18. Frame Buffer
Frame buffer: the memory to hold the pixel intensity
values
Properties of a frame buffer that affect the graphics
performance:
Size: screen resolution
Depth: color level
1 bit/pixel: black and white
8 bits/pixel: 256 levels of gray
24 bits/pixel: 16 million colors
Speed: refresh speed
19. Raster Scan Order
What we do now: the electron gun will
scan through the pixels from left to
right, top to bottom (scanline by
scanline)
20. Raster Scan Order
The electron gun will scan through the
pixels from left to right, top to bottom
(scanline by scanline)
Horizontal retrace
21. Raster Scan Order
The electron gun will scan through the
pixels from left to right, top to bottom
(scanline by scanline)
Vertical retrace
22. Progressive vs. Interlace
Progressive: Scan every scan line
Interlace: Scan only every other scan
line (even -> odd -> even -> odd …)
- so the refresh rate becomes twice as fast
0
1
2
3
4
5
Even scan
Odd scan
23. Standards
NTSC: Interlaced, 525 line, 59.94Hz,
4:3
DTV: Digital version of NTSC, 480i, 4:3
HDTV: e.g. 720p, 60Hz, 16:9
Blu-ray: 1080p
Other standards?
24. Raster Scan Control
Scan Controller (video adaptor) and frame
buffer
Frame buffer
Scan controller
x
y
DAC
25. Color is expensive …
At least used to be
The more color you want, the more bits you
will need for each pixel
Exercise: 1024 x 1280 screen with
24 bits per pixel, how many bytes in the
frame buffer?
1024 x 1280 x 24 / 8 = 4M Byte
@30fps = 120MB/sec
26. Color Lookup Table
Say I am a poor man … I only have 3 bits per pixel
But I insist on having high quality pictures …
Use Color Look Up Table (LUT)
3 bits/pixel frame buffer
R G B
You can still have 24 bits
in each of the color table
entries
0
1
2
3
4
5
6
7
24 bit wide
27. A simple graphics system
System bus
CPU Main Memory
Frame
buffer
Scan
Controller
Frame buffer can be part
of the main memory
Problem?
28. Dedicated memory
System bus
CPU Main Memory
Frame
buffer
Scan
Controller
Video memory: On-board frame buffer:
much faster to access
29. Graphics Accelerator
System bus
CPU Main Memory
Graphics Memory/
Frame buffer
Scan
Controller
Graphics
Processor
A dedicated processor
for graphics processing
37. Graphics Bus Interface
CPU Main Memory
Graphics Memory/
Frame buffer
Scan
Controller
Graphics
Processor
PCI based technology
PCI Bus – 132 MB/s
System Bus – 800MB/s
Other
Peripherals
38. Graphics Bus Interface (2)
PCI Bus becomes the bottleneck!
Many devices are using it
There is a lot of stuff needs to be
transmitted from main memory to graphics
memory (geometry, textures, etc)
Example: 2M triangle, 90 Bytes each –
180MB > 132 MB (PCI bandwidth)
39. Accelerated Graphics Port (AGP)
CPU Main Memory
Graphics Memory/
Frame buffer
Scan
Controller
Graphics
Processor
PCI Bus – 132 MB/s
Other
Peripherals
AGP 1x: 518 MB/s
A dedicated bus that allows direct access of main memory
Fast!!!
40. AGP
AGP 1x is four times as fast compared
to PCI! (now we have AGP 8x)
No more local bus congestion!
More geometry can be processed!
Direct execution of many graphics
operations from main memory