【Editor’s Note】 Following Huang’s GTC, Huawei also held the Ascend AI Developer Day in Tianjin on March 23, 2024. We can review the GPU performance (data sheet) for quick reference in 2023 and the latest notes on GPU: Huawei NPU/GPU Evolution (2024) regarding the differences and performance comparisons between the N and H cards. Huawei … Read more
All You Need to Know About Samsung Exynos Development of NPU Technology (Click the image above to review previous content) In the previous article, we learned about the CPU* (Central Processing Unit) in mobile devices. Today, we will continue to introduce the processor optimized for deep learning algorithms—NPU. NPU (Neural-network Processing Unit) is a processor … Read more
Small object detection, SIMD dataset, YOLO format. The SIMD dataset has most images measured at 1024 × 768 pixels. SIMD (Haroon et al., 2020) is a target detection dataset proposed by the National University of Sciences and Technology in Pakistan, primarily for vehicle detection, containing 5000 remote sensing images (image size: 1024×768) and 45096 instances. … Read more
Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station and is updated weekly on the Machine Heart WeChat public account every Sunday. This column will review common tasks in fields such as natural language processing and computer vision, and provide detailed explanations of classic models that have achieved SOTA on … Read more
Structure and Thermal Design of New Energy Vehicle System Modules (IP67 Reliability Improvement Method) How to Quickly Master a Technology Through Learning (The “Craftsman Program” 1.0 for Digital R&D of Structure and Thermal Design Has Officially Launched!) How to Conduct Electronic Product R&D? Solidworks Structural Design Spiral Water Channel Cold Plate & FloEFD Thermal Flow … Read more
It’s another pleasant weekend for learning and Q&A time (•́へ•́╬) What are SIMT and SIMD? When discussing SIMT (Single Instruction, Multiple Threads) and SIMD (Single Instruction, Multiple Data), we are dealing with two common models of parallel computing. Both are technologies used to handle large-scale data and improve computational efficiency. Here is a brief introduction … Read more
From | Zhihu Author | Anticoder Link | https://zhuanlan.zhihu.com/p/59413549 Background: Focusing only on a single model may overlook potential information that could enhance the target task from related tasks. By sharing parameters to some extent among different tasks, the original task may generalize better. Generally speaking, as long as there are multiple losses, it counts … Read more
Join the professional CV group at Jishi, and interact with 10,000+ visual developers from top universities and companies such as HKUST, Peking University, Tsinghua University, Chinese Academy of Sciences, CMU, Tencent, Baidu! We also provide monthly live sharing sessions with experts, real project demand connections, and a summary of valuable information for industry technical exchanges. … Read more
Join the professional CV group at Jishi, and interact with 10,000+ visual developers from prestigious institutions like HKUST, Peking University, Tsinghua University, Chinese Academy of Sciences, CMU, Tencent, Baidu, and more! We also provide monthly expert live streams, real project demand connections, valuable information summaries, and industry technical exchanges. Follow the Jishi Platform public account, … Read more
According to Lei Feng Network, this article is based on Tan Xu’s answer to the question “How to Understand Nvidia’s Multi-GPU Communication Framework NCCL?” on Zhihu, and Lei Feng Network has obtained authorization for reprint. Question Details: In deep learning, multi-GPU parallel training is often required, and Nvidia’s NCCL library NVIDIA/nccl (https://github.com/NVIDIA/nccl) is frequently used … Read more