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Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis

NIAID Data Ecosystem2026-03-14 收录

高层次综合优化

内存调度算法

数据链接：

https://zenodo.org/record/7217997 数据链接链接失效反馈

官方服务：

资源简介：

Dataset for Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis

应用场景：

创建时间：

2022-10-18

高层次综合优化

硬件调度算法

High-level synthesis (HLS) tools automatically transform a high-level program, for example in C/C++ into a low-level hardware description. A key challenge in HLS tools is scheduling, i.e. determining

NIAID Data Ecosystem60

Dataset for EASY: Efficient Arbiter SYnthesis from Multi-threaded Code

高层次综合优化

硬件仲裁器设计

High-level synthesis (HLS) is an increasingly popular method for generating hardware from a description written in a software language like C/C++. Traditionally, HLS tools have operated on sequential

Zenodo2018-11-26 更新30

"Cross-Route Dataset for QoR Surrogate Modeling in High-Level Synthesis: Synthetic, HLSynCSV, and Bambu Tiny-n"

高层次综合优化

替代模型验证

"This dataset accompanies the manuscript \u201cCross-Route Evaluation of Surrogate Models for QoR Prediction in High-Level Synthesis.\u201d It provides all data and scripts necessary to reproduce the

DataCite Commons2025-09-21 更新00

Dataset for EASY: Efficient Arbiter SYnthesis from Multi-threaded Code

高层次综合优化

FPGA设计优化

High-level synthesis (HLS) is an increasingly popular method for generating hardware from a description written in a software language like C/C++. Traditionally, HLS tools have operated on sequential

NIAID Data Ecosystem30

Datasets for Combining Dynamic & Static Scheduling in High-level Synthesis

高层次综合优化

硬件调度算法

Benchmark datasets for Combining Dynamic & Static Scheduling in High-level Synthesis.

Zenodo2020-07-30 更新10