High Level Ageing Vectors Management for Data Intensive Applications
type: Dataset
contact point: Organization
  fn: CCSD
keyword: dsp-application
keyword: infoinfo-arcomputer-science-cshardware-architecture-csar
keyword: conference-papers
keyword: memory-management
keyword: hls
keyword: infoeu-reposemanticsconferenceobject
landing page: International Conference on Signals and Electronic Systems
description: We introduce a new approach to take into account the memory architecture and the memory mapping in behavioral synthesis. We present a new strategy for implementing signals (ageing vectors). We formalize the maturing process and explain how it may generate memory conflicts over several iterations of the algorithm. The final Compatibility Graph indicates the set of valid mappings for every signal. Several experiments are performed with our HLS tool GAUT. Our strategy exhibits a relatively low complexity memory architecture for ageing vectors that permits to tackle complex designs for data intensive applications.
issued: 2026-05-15T09:43:37.701573
language: en
modified: 2026-05-15T09:43:37.701578

test_moissonnage_selune
type: Agent

High Level Ageing Vectors Management for Data Intensive Applications
type: Distribution
access URL: https://hal.science/hal-00077305
format: HTML
issued: 2026-05-15T09:43:37.730872
modified: 2026-05-15T09:43:37.685948