鄙视
发表于 2025-3-26 20:59:00
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Ophthalmologist
发表于 2025-3-27 02:28:45
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广大
发表于 2025-3-27 05:47:45
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deficiency
发表于 2025-3-27 10:48:36
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偏狂症
发表于 2025-3-27 15:07:56
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护身符
发表于 2025-3-27 19:11:48
Approximate Computing for Cryptography Generally, it has been employed in a lot of error-tolerant applications such as image/multimedia signal processing, machine learning, etc., applications that allow accuracy degradation without quality degradation. But, approximation has also the potential being utilized to provide area and power ef
同步信息
发表于 2025-3-27 22:48:30
Towards Securing Approximate Computing Systems: Security Threats and Attack Mitigationecent literature indicates that some AC mechanisms could be exploited by attackers to implement new attack surfaces. In this chapter, we introduce unique attacks that are applicable to AC systems and provide examples of practical attacks. Furthermore, we introduce general principles of defense mecha
notion
发表于 2025-3-28 02:49:52
Approximate Computing for Machine Learning Workloads: A Circuits and Systems Perspective such as signal processing, machine learning (ML), and embedded systems. To reap maximum energy benefits as well as ensure high quality of solution for applications, innovations are needed across the entire computing stack (from circuits and architectures all the way up to algorithms). This chapter
极少
发表于 2025-3-28 07:12:45
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Fracture
发表于 2025-3-28 12:52:09
https://doi.org/10.1007/978-3-642-17033-1mitives such as multipliers, adders, memories, and matrix vector multiplication units which are vital to build a machine learning accelerator. Several algorithm techniques that can utilize the aforementioned hardware level approximations to accelerate machine learning workloads are also discussed.