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ORCIDEmad Malekzadeh Arasteh
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2020 – today
- 2024
[j1]Emad Malekzadeh Arasteh
, Rainer Dömer:
Fast Loosely-Timed Deep Neural Network Models with Accurate Memory Contention. ACM Trans. Embed. Comput. Syst. 23(5): 75:1-75:32 (2024)- [c7]Emad Malekzadeh Arasteh, Vivek Govindasamy, Rainer Dömer:
BusyMap, an Efficient Data Structure to Observe Interconnect Contention in SystemC TLM-2.0. DATE 2024: 1-6 - 2022
- [b1]Emad Malekzadeh Arasteh:
Transaction-Level Modeling of Deep Neural Networks for Efficient Parallelism and Memory Accuracy. University of California, Irvine, USA, 2022 - [c6]Vivek Govindasamy, Emad Malekzadeh Arasteh, Rainer Dömer:
Minimizing Memory Contention in an APNG Encoder Using a Grid of Processing Cells. IESS 2022: 101-112 - 2021
- [c5]Rainer Dömer, Zhongqi Cheng, Daniel Mendoza, Emad Malekzadeh Arasteh:
Pushing the Limits of Parallel Discrete Event Simulation for SystemC. A Journey of Embedded and Cyber-Physical Systems 2021: 97-105 - [c4]Emad Malekzadeh Arasteh, Rainer Dömer:
Improving Parallelism in System Level Models by Assessing PDES Performance. FDL 2021: 1-7 - 2020
- [c3]Zhongqi Cheng, Emad Malekzadeh Arasteh, Rainer Dömer:
Event Delivery using Prediction for Faster Parallel SystemC Simulation. ASP-DAC 2020: 357-362 - [c2]Daniel Mendoza, Zhongqi Cheng, Emad Malekzadeh Arasteh, Rainer Dömer:
Lazy Event Prediction using Defining Trees and Schedule Bypass for Out-of-Order PDES. DATE 2020: 885-890
2010 – 2019
- 2019
- [c1]Emad Malekzadeh Arasteh, Rainer Dömer:
An Untimed SystemC Model of GoogLeNet. IESS 2019: 117-129
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