Flexible High-Level Synthesis Library for Linear Transformations

被引：0

作者：

Zhao, Wuqiong ^{[1
,2
]}

Li, Changhan ^{[1
,2
]}

Ji, Zhenhao ^{[1
,2
]}

Guo, Zhichen ^{[1
,2
]}

Chen, Xuanbo ^{[1
,2
]}

You, You ^{[1
,2
]}

Huang, Yongming ^{[1
,2
]}

You, Xiaohu ^{[1
,2
]}

Zhang, Chuan ^{[1
,2
]}

机构：

[1] Southeast Univ, LEADS, Natl Mobile Commun Res Lab, Nanjing 211100, Peoples R China

[2] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Nanjing 211100, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2024年 / 71卷 / 07期

关键词：

Libraries; Hardware; Fires; Random access memory; Signal processing algorithms; C plus plus languages; Tensors; High-level synthesis (HLS); linear transformations; compressed sensing; hardware implementation; field programmable gate array (FPGA); MATRICES;

D O I：

10.1109/TCSII.2024.3366282

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Despite decades pursuing efficient hardware design for signal processing based on linear algebra, traditional hardware description languages (HDLs)-based design workflows remain challenging and time-consuming. High-level synthesis (HLS) provides an easier approach but still requires thorough designs of basic modules concerning linear transformations to achieve acceptable hardware efficiency. To simplify the HLS workflow, we propose the FLAMES library, which provides efficient ready-to-use linear transformation modules. Users can implement algorithms with significantly higher code-writing efficiency via the FLAMES library. We demonstrate its effectiveness by implementing the orthogonal matching pursuit list (OMPL) algorithm for compressed sensing in FPGA, achieving 1.56 x and 1.12 x throughput/slice compared with traditional HLS for the sequential and parallel architecture, respectively.

引用

页码：3348 / 3352

页数：5

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