Advanced Computer Hardware Insights

What are the main components of GPU architecture?

• Streaming Multiprocessors, Memory, Graphics Pipeline, Texture Units, Interconnects, Control Logic

• Power Supply Unit

• Random Access Memory

• Central Processing Unit

Explain the difference between SIMD and SIMT in GPU design.

• SIMD and SIMT are both used to execute different instructions on multiple data points.

• SIMD allows individual threads to execute different instructions, while SIMT executes the same instruction on multiple data points.

• SIMD is used for single-threaded applications, whereas SIMT is designed for multi-threaded applications.

• SIMD executes the same instruction on multiple data points, while SIMT allows individual threads to execute different instructions.

What programming languages are commonly used for FPGA development?

• Java

• VHDL, Verilog, C, C++, SystemC

• Ruby

• Python

Describe the role of HDL in FPGA programming.

• HDL is irrelevant to FPGA design.

• HDL is primarily for creating user interfaces.

• HDL is used only for software development.

• HDL is essential for defining and programming the behavior and structure of FPGAs.

What is the significance of parallel processing in high-performance computing?

• It limits the use of multiple processors.

• Parallel processing is significant in high-performance computing as it enhances speed, efficiency, and resource utilization.

• It simplifies programming models.

• It reduces the need for data storage.

List some common applications of high-performance computing.

• Basic word processing

• Social media analysis

• Weather forecasting, molecular modeling, financial modeling, scientific research data analysis.

• Image editing software

How does cache memory improve system performance?

• Cache memory is used for permanent data storage.

• Cache memory slows down data retrieval.

• Cache memory improves system performance by providing faster access to frequently used data and instructions.

• Cache memory increases the size of the main memory.

What are the different levels of memory hierarchy in computer systems?

• Hard Disk Drives

• Virtual Memory

• Registers, Cache, Main Memory (RAM), Secondary Storage

• Network Storage

Explain the concept of memory latency and its impact on performance.

• Memory latency is the delay in data retrieval from memory, impacting performance by causing CPU wait times and potential bottlenecks.

• Memory latency is the amount of data stored in memory.

• Memory latency has no effect on overall system performance.

• Memory latency refers to the speed of the CPU clock.

What are the key considerations in embedded systems design?

• Database management systems

• Network security protocols

• Key considerations in embedded systems design include hardware constraints, software requirements, power consumption, real-time performance, reliability, and cost.

• User interface design