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Although touted as a power and energy-efficient solution for workloads that exhibit data-level parallelism, vector processors were not explored sufficiently from a low power perspective in the past.

In this work, we design a programmable analog calculation unit (ACU) for approximately computing arbitrary functions with two operands. By implementing an efficient scheme of support vector regression ...

本项目是一个基于RISC-V指令集架构的向量处理器 (Vector Processing Unit, VPU)设计，旨在实现RISC-V向量扩展 (RVV)规范中定义的向量运算功能。涵盖了处理器设计、计算机体系结构和硬件描述语言编程等多个领域的知识。

The proposed neural network architecture combines the gated recurrent unit (GRU) variant of recurrent neural network (RNN) and the linear support vector machine (SVM).

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

[Global Network Technology Report, Reporter Zhang Yang] In the wave of digitalization, the deep integration of high-performance computing and artificial intelligence is becoming an important support ...

Science at Waterloo is a global leader in research that pushes the boundaries of knowledge and imagination. From black holes and quantum computing, to ensuring the health of our great lakes, or ...