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A Digestible High-Level Overview of CPU & GPU Capabilities
This story was originally published on HackerNoon at: https://hackernoon.com/a-digestible-high-level-overview-of-cpu-and-gpu-capabilities.
CPU & GPU - The Basics - A digestible high-level overview of what happens in The Die
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #computing, #cpu, #gpu, #ai-research, #mlops, #nvidia-gpu, #transformers, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.
This story was written by: @venkat2811. Learn more about this writer by checking @venkat2811's about page,
and for more stories, please visit hackernoon.com.
The article delves into the core differences between CPUs and GPUs in handling parallel computing tasks, covering concepts like Von Neumann Architecture, Hyper-Threading, and Instruction Pipelining. It explains the evolution of GPUs from graphics processors to powerful tools for accelerating deep learning algorithms.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/a-digestible-high-level-overview-of-cpu-and-gpu-capabilities.
CPU & GPU - The Basics - A digestible high-level overview of what happens in The Die
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #computing, #cpu, #gpu, #ai-research, #mlops, #nvidia-gpu, #transformers, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.
This story was written by: @venkat2811. Learn more about this writer by checking @venkat2811's about page,
and for more stories, please visit hackernoon.com.
The article delves into the core differences between CPUs and GPUs in handling parallel computing tasks, covering concepts like Von Neumann Architecture, Hyper-Threading, and Instruction Pipelining. It explains the evolution of GPUs from graphics processors to powerful tools for accelerating deep learning algorithms.