对CNN FPGA加速器的技术 (例如循环平铺和转换) 优化,同时进行了定量分析计算吞吐量和片内外I/0带宽和建模 通过roof-line模型搜索加速器硬件参数设计空间中最优的方案, 最后通过此建模方案设计了一个加速器,获得当时最优性能密度的CNN加速器。 背景与动机 回答Paper 背景和解决什么问题? 背景 卷积神经网络 (CNN) ...
算法2更大ratio/更好数据复用,算法1未能充分利用计算资源由于inefficient off-chip communication 3. Accelerator Design Exploration 3.1 Design Overview Overview of accelerator design Double buffers: cover计算时间与data transfer时间 本节探索设计空间: loop tiling, loop iteratorsi, j太小没有tiling 计算优化:公式...
Especially, various accelerators for deep CNN have been proposed based on FPGA platform because it has advantages of high performance, reconfigurability, and fast development round, etc. Although current FPGA accelerators have demonstrated better performance over generic processors, the accele...
However, some key issues including how to optimize the performance of CNN layers with different structures, high-performance heterogeneous accelerator design, and how to reduce the neural network framework integration overhead need to be improved. To overcome and improve these problems, we propose ...
POM is an end-to-end optimizing framework on MLIR for efficient FPGA-based accelerator generation. POM has the following technical contributions:Programmability: POM provides a decoupled DSL that enables concise descriptions of functions, loops, and arrays. A rich collection of scheduling primitives is...
Optimizing OpenCL-Based CNN Design on FPGA with Comprehensive Design Space Exploration and Collaborative Performance Modeling 文章的目的是:对于给定的CNN模型,通过作者自己设计的框架对设计空间进行探索,找到一个高效的FPGA设计。这个框架包含三部分:LoopTree:在不写源代码的情况下,捕获CNN在FPGA上的硬件结构设计细节...
Figure 21: We offlfloaded convolutions in the ResNet workload to an FPGA-based accelerator. The grayed-out bars correspond to layers that could not be accelerated by the FPGA and therefore had to run on the CPU. The FPGA provided a 40x acceleration on offlfloaded convolution layers over ...
The SHAKE256 hash generator is integrated into the FPGA design and operates as part of the SIDH accelerator, which executes the encapsulation and decapsulation steps. This integration of SHAKE256 into the FPGA design ensures that the entire cryptographic process can be performed efficiently in hardware...
2.3.3. Automated Accelerator Generation Frameworks Automated accelerator generation frameworks have significantly reduced the complexity and time required to develop efficient DNN accelerators. DNNWeaver [26] automates the generation of FPGA-based accelerators from high-level DNN models by utilizing hand-opt...
•构建了一个端到端的编译和优化堆栈,在高级框架(包括TensorFlow,MXNet,PyTorch,Keras,CNTK)中,多种硬件后端(包括CPU,服务器GPU,移动GPU和基于FPGA的加速算子)特定的工作负荷,部署深度学习。 开源TVM在几家大公司内部量产使用。在服务器级GPU,嵌入式GPU,嵌入式CPU和一个定制的基于FPGA的通用加速器上,使用真实的工...