CUDA ati GPU siseto adanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Ninu awọn ọrọ-ọrọ CUDA, kini 'kernel' kan?
   • Iṣẹ ṣiṣe ni afiwe nipasẹ ọpọlọpọ awọn okun GPU
   • Awọn mojuto ti ẹya ẹrọ
   • A iru ti ërún iranti
   • GPU ká itutu eto
2. Kini awoṣe ipaniyan SIMT tumọ si?
   • Input lọra, Awọn gbigbe lọpọlọpọ
   • Itọnisọna Ẹyọkan, Awọn Opopopo pupọ nṣiṣẹ itọnisọna kanna lori data oriṣiriṣi
   • Aworan Kanṣo, Ọpọ awoara
   • Awọn ilana Itọnisọna, Akoko Ifọwọyi
3. Kini idi ti PyTorch ati TensorFlow ko nilo awọn olumulo lati kọ CUDA aise?
   • GPUs ko le ṣiṣe koodu olumulo
   • CUDA jẹ arufin lati lo taara
   • Wọn pe awọn ile-ikawe CUDA iṣapeye bi cuDNN ati cuBLAS ni inu
   • Ti won nikan ṣiṣe awọn lori CPUs
4. Kini 'iyatọ ijaya' ati kilode ti o ṣe ipalara iṣẹ?
   • Aṣiṣe Nẹtiwọki ti o ju awọn apo-iwe silẹ
   • GPU ti ara atunse labẹ ooru
   • Kokoro ti o pa iranti rẹ
   • Awọn okun ni ijagun gba awọn ẹka oriṣiriṣi ati pe o gbọdọ ṣiṣẹ ni tẹlentẹle
5. Kini idi ti iraye si iranti 'coalesced' ṣe pataki ni CUDA?
   • Awọn okun ti o wa nitosi kika awọn adirẹsi ti o wa nitosi jẹ daradara siwaju sii
   • O encrypts data laifọwọyi
   • O laaye aaye disk
   • O disables GPU egeb
6. What is OpenAI Triton in relation to CUDA programming?
   • A CUDA driver that replaces NVIDIA GPUs
   • A Python-like language and compiler for writing efficient GPU kernels
   • A model-serving server that only loads TensorFlow checkpoints
   • A framework that converts GPUs into CPUs
7. What does a CUDA kernel launch configuration specify?
   • A model tokenizer vocabulary
   • The number of training labels
   • The grid and block dimensions used to organize thread execution
   • The host operating system
8. Why might a CUDA kernel use shared memory?
   • To make data available across every cluster without communication
   • To replace all registers
   • To store the model permanently on the GPU
   • To let threads in a block reuse data from a faster on-chip memory space