Parallel Computing

How FPGA Acceleration Unlocks the Potential of Image Preprocessing

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How FPGA Acceleration Unlocks the Potential of Image Preprocessing

When Efficiency Becomes Competitiveness In the field of industrial inspection, millisecond-level processing delays can mean fluctuations in yield or loss of production capacity. Traditional CPU architectures are limited by serial computation and data transfer bottlenecks, while the parallel computing capabilities of FPGAs are opening new dimensions for real-time image processing. · FPGA Acceleration: A Fundamental … Read more

Pillow-SIMD: The Supercharged Version of Image Processing!

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Pillow-SIMD: The Supercharged Version of Image Processing!

▼ Click the card below to follow me ▲ Click the card above to follow me When it comes to Python image processing, do you often feel like it’s lagging? Especially when processing a large number of images, the slow speed can make you want to smash your keyboard. Today, I want to introduce you … Read more

Industry Research: The Differences in Processing Flows of CPU, GPU, and FPGA

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Industry Research: The Differences in Processing Flows of CPU, GPU, and FPGA

Click the “blue text” above to follow for more exciting content. This article contains a total of 900 words, and it takes about 2 minutes to read. The processor is responsible for processing external input data, and the differences between processors such as CPU, GPU, and FPGA lie in their processing flows. The processing flow … Read more

VLIW+SIMD: Decoding the Parallel Computing Genes of AI Chips

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VLIW+SIMD: Decoding the Parallel Computing Genes of AI Chips

“IT有得聊”是机械工业出版社旗下IT专业资讯和服务平台，致力于帮助读者在广义的IT领域里，掌握更专业、更实用的知识与技能，快速提升职场竞争力。 点击蓝色微信名可快速关注我们! AI processors need to handle a large amount of parallel data, which requires a high degree of parallelism. There are various strategies for increasing the parallelism of processors, with common approaches including enhancing Instruction Level Parallelism (ILP), Data Level Parallelism (DLP), and Thread Level Parallelism (TLP). Enhancing Instruction Level Parallelism refers to increasing … Read more

Multiprocessing: The Multi-Process Tool That Makes Your Python Code Fly!

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Multiprocessing: The Multi-Process Tool That Makes Your Python Code Fly!

▼ Click the card below to follow me ▲ Click the card above to follow me The Python multiprocessing library, Multiprocessing, is simply a savior for parallel computing! Imagine you have a bunch of compute-intensive tasks; the traditional single-threaded approach is like a snail climbing a mountain, while Multiprocessing is like installing a turbocharger. Basic … Read more

Step-by-Step | Is Python Too Slow? Achieve 4x Speedup with Process Pools in Just Three Lines of Code!

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Step-by-Step | Is Python Too Slow? Achieve 4x Speedup with Process Pools in Just Three Lines of Code!

This is a work from Big Data Digest, please see the end of the article for reprint requirements. Author | Adam Geitgey Translation | Yuan Yuan, Lisa, Saint, Aileen Python is undoubtedly an excellent programming language for processing data or automating repetitive tasks. Need to scrape web logs? Or adjust a million images? There is … Read more

Multiprocessing: A Practical Python Library for Multi-Processing!

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Multiprocessing: A Practical Python Library for Multi-Processing!

▼ Click the card below to follow me ▲ Click the card above to follow me Multiprocessing: The Parallel Computing Tool That Makes Python Code Fly! In the world of Python, some tasks are as slow as a snail, even though the machine’s performance is strong, they run incredibly slowly. Today, I want to introduce … Read more

Comparative Analysis of Unexpected Python Parallel Computing Frameworks: The Best Choice from Multiprocessing to Dask

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Comparative Analysis of Unexpected Python Parallel Computing Frameworks: The Best Choice from Multiprocessing to Dask

It was a late night chased by deadlines, with three Jupyter Notebook windows open on my screen, each processing a 20GB CSV file in different ways.multiprocessing.Pool‘s workers were stepping on each other in memory, while the thread pool of concurrent.futures was dozing off waiting for IO, and my handwritten Dask task flow suddenly threw a … Read more

Understanding CPU/GPU/TPU/NPU… What Are These XPU Technologies?

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Understanding CPU/GPU/TPU/NPU... What Are These XPU Technologies?

Author: iot101 IoT Think Tank Original Reprint must indicate the source and origin —— [Introduction] —— In this era of rapid technological advancement, concepts like the Internet of Things, artificial intelligence, and deep learning are flourishing, and various chip terms such as GPU, TPU, NPU, and DPU are emerging one after another… What are they? … Read more

Characteristics and Applications of FPGAs

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Characteristics and Applications of FPGAs

Source: Semiconductor Industry Review Original Author: Feng Ning With the rapid development of AI technology, its application boundaries are constantly expanding, from simple image recognition to complex natural language processing, and into cutting-edge fields such as autonomous driving and smart manufacturing. AI is transforming our world at an unprecedented speed. In this AI revolution, deep … Read more