Heterogeneity of abstractions in EDA tools: Reviewing models of computation for many-core systems targeting intensive signal processing applications-Reference-Cited by-同舟云学术

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Heterogeneity of abstractions in EDA tools: Reviewing models of computation for many-core systems targeting intensive signal processing applications

Published:2018-06 Issue: Volume:59 Page:1-14
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Ammar Manel,Abid Mohamed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference102 articles.

1. Ion Stoica, For Big Data, Moores Law Means Better Decisions, https://amplab.cs.berkeley.edu/for-big-data-moores-law-means-better-decisions/.

2. E. Savitz, Gartner: 10 critical tech trends for the next five years, October 2012. http://www.forbes.com/sites/ericsavitz/2012/10/22/gartner-10-critical-tech-trends-for-the-next-fiveyears.

3. The changing paradigm of data-intensive computing;Kouzes;Computer,2009

4. A unifying flow to ease smart systems integration;Lora,2016

5. Moving from co-simulation to simulation for effective smart systems design;Fummi,2014

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1. PathTracer: Understanding Response Time of Signal Processing Applications on Heterogeneous MPSoCs;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2021-12-31

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