IOS exam - Graphic adapters
IOS Exam - Graphic Adapters Quiz
Test your knowledge on graphic adapters and related technologies with our engaging quiz! This quiz will challenge your understanding of interfaces like DisplayPort and HDMI, as well as CUDA architecture and GPU memory types.
- Assesses knowledge on modern graphic technologies.
- Multiple-choice questions for in-depth learning.
- Perfect for both students and professionals in the field.
DisplayPort interface:
- Allows connection of many/several displays in a (daisy-chain).
- Uses a packet-based protocol.
- In the optionally dual mode, it allows the transmission of the HDMI signals using the DisplayPort cable without external adapters.
Select the most appropriate value for bandwidth on a channel in case of 2.0 version of DisplayPort interface:
- 20 Gbits/s
- 8 Gbits/s
- 32 Gbits/s
- 5 Gbits/s
Compared to interfaces based on Low Voltage Differential Signaling (LVDS) protocol, the interface Embedded DisplayPort:
- Allows reducing the energy consumption.
- Allows using the auxiliary channel for control functions of backlight.
- Allows increasing the bit rate, but it requires a large number of connections.
CUDA architecture:
- Allows the access to a shared memory by every thread from a block of threads.
- Allows sharing a part of GPU memory with the principal processor (CPU).
- Thread blocks are planned/scheduled for execution in any order on any number of available processing cores.
- Every block of threads has a shared memory which is accessible for all threads from that block of threads, but it is not accessible to other blocks.
- Every thread from a grid of thread blocks has access to a global memory.
- Represents a platform and a programming model that can be used for all GPU circuits.
- Each kernel is executed on the GPU by N threads.
Unified Memory of CUDA:
- Allows sharing of a part of the GPU memory with the CPU, as well as the GPU.
- Cannot be accessed simultaneously by the CPU and GPU.
- It is handled by the system, without any actual data transfers.
- Allows execution time reduction on the GPU executed programs.
In the CUDA architecture, each kernel:
- Is executed on the CPU.
- Is executed on the GPU by N threads.
- Is executed on the GPU by one thread.
HDMI (High-Definition Multimedia Interface):
- Allows using a cable that includes an Ethernet HDMI channel, by which 2 devices can share an Internet connection.
- Allows using a cable with a USB Type C connector for connecting to a display.
- Contains a serial bus that allows transmission of remote control codes, if the remote control used is programmed with the type of the connected devices.
- It does NOT require a separated clock signal, the synchronization signal being included in the data flux/array.
HDMI (High-Definition Multimedia Interface):
- Allows using an audio return channel, on which audio data could be transmitted from a TV to an audio/video receiver.
- Includes the synchronization information in the serial data stream.
- Uses 8b/10b codification for video data, control bits and auxiliary data.
The Consumer Electronics Control (CEC) feature of HDMI enables the user to control several devices with a single remote:
- By automatically detecting the brand of each connected device.
- By programming the remote with the brand information of connected devices.
- By using commands that are not manufacturer-specific.
GDDR6 memory:
- Uses data lines training technique, which consists in phase alignment between data signals and their writing clock signal.
- Uses commands/addresses bus inversion technique for reducing the power/energy consumption.
- Uses separate clock signals for commands and addresses.
Circuitele GPU conțin diferite tipuri de nuclee de umbrire, cum sunt:
- Nuclee de umbrire geometrică, care pot modifica topologia primitivelor pe care le recepționează ca intrări.
- Nuclee de umbrire pentru varfuri, care pot crea sau șterge varfuri ale obiectelor 3D.
- Nuclee de umbrire pentru calcule, care pun la dispoziție facilități pentru o programare paralelă mai eficienta.
Compared to CPU architecture, at GPU architecture:
- Synchronization between parallel threads is simpler.
- The latency of every processing core is much higher than the latency of a CPU core.
- Size of the cache memory is reduced.
- Has a much bigger number of processing cores.
- Uses simpler execution threads.
- Has a more complex control unit because it has lots of cores.
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