GPU Architecture Question & Answers September 13, 2025 By WatElectronics This Article lists 50+ GPU architecture MCQs for engineering students. All the GPU architecture Questions & Answers given below include solutions and links wherever possible to the relevant topic. GPU architecture design is optimized for particularly parallel computation, including thousands of specialized and small cores for high memory throughput and parallel tasks compared to CPUs. Its main components include specialized processing cores like Tensor Cores, CUDA cores, and Streaming Multiprocessors, various levels of memory, and large caches. This architecture enables GPUs to excel at data-intensive and graphics rendering tasks like scientific computing and artificial intelligence by performing similar operations on large datasets altogether. 1). The full form of GPU is: General Purpose Unit Graphics Processing Unit Graphical Parallel Utility General Processing Utility None Hint 2). GPUs were originally designed for? Word processing Graphics rendering Operating systems Database management None Hint 3). A GPU is most suitable for: Sequential tasks Parallel tasks Random tasks Interrupt handling None Hint 4). Which company introduced CUDA for GPU programming? Intel NVIDIA AMD ARM None Hint 5). Shaders in GPUs are equivalent to? Registers Arithmetic Logic Units Control units Caches None Hint 6). CPUs are optimized for? Parallel execution Sequential execution Image processing only Machine learning only None Hint 7). GPUs generally have? Fewer cores, higher frequency Many cores, lower frequency No cores, only caches Single core architecture None Hint 8). Which of the following is true? CPUs are better for repetitive calculations GPUs are better for parallel workloads GPUs have higher control logic than CPUs CPUs use SIMD whereas GPUs don’t None Hint 9). What is the typical core count range of a GPU? 2–16 100–200 Thousands Single core None Hint 10). GPUs are often referred to as: Brains of the computer Muscles of the computer Memory managers None Hint 11). The basic execution unit in NVIDIA GPUs is called? Tensor Core CUDA Core Pixel Unit ROP None Hint 12). Streaming Multiprocessors (SMs) contain? Only caches Multiple CUDA cores Only memory units Only control units None Hint 13). Render Output Units (ROPs) handle? Lighting Pixel output and blending Rasterization Thread scheduling None Hint 14). Texture Mapping Units (TMUs) are responsible for? Control logic Memory allocation Applying textures to objects Warp scheduling None Hint 15). Which GPU component schedules threads? Warp scheduler Registers Rasterizer ROP None Hint GPU Architecture MCQs for Interviews 16). The fastest memory in GPU is? Global memory Registers VRAM None Hint 17). Which memory is shared among cores inside an SM? Registers Shared memory Global memory Cache memory None Hint 18). VRAM in GPUs refers to? Virtual RAM Video RAM Variable RAM None Hint 19). Which type of memory provides the largest storage capacity in GPUs? Registers Global memory Shared memory Constant memory None Hint 20). Texture memory is used for? General arithmetic Image sampling Warp scheduling None Hint 21). The first stage of the graphics pipeline is? Fragment shading Vertex processing Vertex processing None Hint 22). Rasterization converts? Pixels to vertices 3D models to 2D pixels Colors to textures 3D models to 2D pixels None Hint 23). Fragment shading deals with? Pixel colors and textures Memory scheduling Thread allocation None Hint 24). The final step of the graphics pipeline is? Rasterization Texture mapping Output merging Lighting None Hint 25). Anti-aliasing is handled by? ROPs ROPs ALUs Registers None Hint GPU Architecture MCQs for Exams 26). GPUs mainly rely on: Instruction-Level Parallelism Data-Level Parallelism Bit-Level Parallelism None of the above None Hint 27). A warp in NVIDIA GPUs typically contains? 4 threads 16 threads 32 threads 64 threads None Hint 28). AMD’s equivalent of warp is called? Block Wavefront Shader unit Group None Hint 29). SIMD stands for? Single Instruction, Multiple Data Simple Instruction, Multiple Design Single Integrated Memory Device Sequential Instruction, Multiple Devices None Hint 30). GPUs are less efficient for? Matrix operations Highly parallel tasks Sequential tasks Image rendering None Hint 31). Tensor Cores are designed for: Texturing Matrix multiplications Rasterization Control logic None Hint 32). Ray tracing cores simulate? Pixel blending Realistic lighting and shadows Memory caching Shader compilation None Hint 33). NVLink is a technology for? Memory virtualization High-speed GPU interconnects High-speed GPU interconnects CPU instruction decoding None Hint 34). HBM stands for? High Bit Memory High Bandwidth Memory Hardware Bus Memory Hybrid Base Memory None Hint 35). GDDR6 is primarily used in? CPUs Hard disks GPUs RAM modules only None Hint 36). GPUs are heavily used in? Word processing Deep learning File compression Web browsing None Hint 37). Self-driving cars use GPUs for? Document editing Sensor fusion and decision-making Memory allocation Cache management None Hint 38). Cryptocurrency mining relies on? Control units GPU parallelism Fragment shading Texture mapping None Hint 39). HPC stands for? High-Performance Computing Hybrid Processing Core High-Power Caches Hardware Parallel Computation None Hint 40). GPUs in robotics are used for? Data storage Real-time image processing Operating system design Debugging None Hint GPU Architecture MCQs for Quiz 41). Which company makes RDNA GPUs? Intel NVIDIA AMD ARM None Hint 42). Hopper architecture belongs to? AMD Intel NVIDIA Apple None Hint 43). Which type of GPU integration is growing for energy efficiency? Discrete GPUs Hybrid CPU-GPU (APU) Mechanical GPUs Isolated GPUs None Hint 44). Quantum + GPU hybrid systems aim to? Increase cache storage Combine quantum computing with parallelism Reduce register usage Eliminate ALUs None Hint 45). Neuromorphic GPUs focus on? Simulating biological neural networks Increasing VRAM Improving cache speed Register design None Hint 46). The brain of a GPU is? SMs Control unit ROPs VRAM None Hint 47). Which of the following consumes the most power in GPUs? Registers Memory bandwidth Shaders Control logic None Hint 48). Overclocking a GPU primarily increases? Memory size Processing speed (frequency) VRAM type Cache coherence None Hint 49). AI workloads benefit most from? Tensor Cores ROPs TMUs Warp schedulers None Hint 50). Which factor is most important for GPU cooling? Register size Clock frequency and power usage Cache design Shader unit count only None Hint Time's up
