In this work, we present design techniques for minimum-area/-energy DNN hardware with minimal degradation in accuracy. During training, both binarization/low-precision and structured sparsity are applied as constraints to find the smallest memory footprint for a given deep learning algorithm. The ...
Inspired by recent deep learning algorithms on binarized neural networks, binary activation with a straight-through gradient estimator is used to model the leaky integrate-fire spiking neuron, overcoming the difficulty in training SNNs using back propagation. Two SNN training algorithms...关键词:...
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models 术语 摘要 深度学习推荐模型(DLRM)已经在 Meta 的许多关键商业服务中使用, 并且在其数据中心基础设施需求方面是最大的单一 AI 应用程序。论文提出了Neo:一种针对大规模 DLRM 训练场景, 采用软硬件协同方案设计的高...
Deep Learning on FPGAs: Past, Present, and Future The rapid growth of data size and accessibility in recent years has instigated a shift of philosophy in algorithm design for artificial intelligence. Inste... G Lacey,GW Taylor,S Areibi 被引量: 63发表: 2016年 Urology training: past, ...
Building any type of advanced FPGA designs such as for machine learning require advanced FPGA design and verification tools. Simulation is the de-facto verification methodology for verifying FPGA designs using mixed-language HDL with SystemC/C/C+ testbenches. Compilation and simulation speed are the...
Sci-Hub | [ACM Press the 56th Annual Design Automation Conference 2019sci-hub.wf/10.1145/3316781.3317918 一、介绍 RNN 和 LSTM 对触发事件发生的确切时间很敏感。而在真实环境中,触发事件与硬件故障之间存在不确定的延迟,很难学习统一的规则。提出了一种基于时间卷积神经网络的模型,该模型对时间维度中的噪...
We designed VTA to expose the most salient and common characteristics of mainstream deep learning accelerators, such as tensor operations, DMA load/stores, and explicit compute/memory arbitration. VTA is more than a standalone accelerator design: it's an end-to-end solution that includes drivers,...
et al. Simba: Scaling deep-learning inference with multi-chip-module-based architecture. In Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture - MICRO ’52, 14–27, https://doi.org/10.1145/3352460.3358302 (2019). Yin, J. et al. Modular routing design for ...
You can refine the hardware design usingHDL-supportedblocks and functions in Simulink and MATLAB. You can also use off-the-shelf libraries of optimized IP forsignal processing,wireless,video/image processing, anddeep learningapplications. Many developers use various combinations of all of these, depen...
Compiler Design 加入了一个间接层,消除了需要编写编译器代码生成后端的需求,这个编译器代码生成后端十分冗长,因为要适应不同的可编程加速器(什么是compiler code-generation backends?) 具体怎么实现?JIT编译器向TVM公开一个高级API以降低调度(?),抽象出VTA特定于变量(?)的体系结构细节。这句话怎么理解呢? Physical ...