Hosein Mohammadi Makrani

发表

MeNa: A memory navigator for modern hardware in a scale-out environment

Houman Homayoun, Hosein Mohammadi Makrani, H. Homayoun, 2017, 2017 IEEE International Symposium on Workload Characterization (IISWC).

2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection

Avesta Sasan, Houman Homayoun, Hosein Mohammadi Makrani, 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce

Hassan Ghasemzadeh, Avesta Sasan, Houman Homayoun, 2018, SAMOS.

Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices

Houman Homayoun, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, 2018, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud

Houman Homayoun, Hosein Mohammadi Makrani, Setareh Rafatirad, 2018, SoCC.

Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications

Houman Homayoun, Hosein Mohammadi Makrani, Setareh Rafatirad, 2017, 2017 Eighth International Green and Sustainable Computing Conference (IGSC).

A comprehensive memory analysis of data intensive workloads on server class architecture

Houman Homayoun, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, 2018, MEMSYS.

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design

Liang Zhao, Avesta Sasan, Houman Homayoun, 2019, 2019 29th International Conference on Field Programmable Logic and Applications (FPL).

Storage and Memory Characterization of Data Intensive Workloads for Bare Metal Cloud pdf

Hosein Mohammadi Makrani, 2018, ArXiv.

Main-Memory Requirements of Big Data Applications on Commodity Server Platform

Houman Homayoun, Hosein Mohammadi Makrani, Setareh Rafatirad, 2018, 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features

Houman Homayoun, Hosein Mohammadi Makrani, Yifeng Gao, 2020, ACM Great Lakes Symposium on VLSI.

Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures

Han Wang, Houman Homayoun, Hosein Mohammadi Makrani, 2020, 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS).

XPPE: cross-platform performance estimation of hardware accelerators using machine learning

Avesta Sasan, Houman Homayoun, Hosein Mohammadi Makrani, 2019, ASP-DAC.

Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads

Houman Homayoun, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, 2018, 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks

Houman Homayoun, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching

Avesta Sasan, Houman Homayoun, Hosein Mohammadi Makrani, 2019, ACM Great Lakes Symposium on VLSI.

Memory requirements of hadoop, spark, and MPI based big data applications on commodity server class architectures

Houman Homayoun, Hosein Mohammadi Makrani, 2017, 2017 IEEE International Symposium on Workload Characterization (IISWC).

Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce

Hassan Ghasemzadeh, Avesta Sasan, Houman Homayoun, 2018, 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment

Houman Homayoun, Hosein Mohammadi Makrani, Tinoosh Mohsenin, 2021, ACM Trans. Model. Perform. Evaluation Comput. Syst..

HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures

Houman Homayoun, Hosein Mohammadi Makrani, Setareh Rafatirad, 2021, 2021 IEEE 39th International Conference on Computer Design (ICCD).

When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection

Houman Homayoun, Hosein Mohammadi Makrani, Hossein Sayadi, 2021, 2021 22nd International Symposium on Quality Electronic Design (ISQED).

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events

Houman Homayoun, Hosein Mohammadi Makrani, Yifeng Gao, 2021, 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS).

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, Yet Effective Time Series CNN-Based Approach

Houman Homayoun, Hosein Mohammadi Makrani, Yifeng Gao, 2021, Cryptography.

Evaluation of Software-Based Fault-Tolerant Techniques on Embedded OS ’ s Components

Hosein Mohammadi Makrani, Seyed Ghassem Miremadi, Hamed Farbeh, 2014 .

ScholarWorks @ UTRGV ScholarWorks @ UTRGV

Hosein Mohammadi Makrani, S. Rafatirad, H. Homayoun, 2022 .

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events

Hosein Mohammadi Makrani, Jessica Lin, H. Homayoun, 2021, 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS).

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features

Hosein Mohammadi Makrani, Jessica Lin, T. Mohsenin, 2020, ACM Great Lakes Symposium on VLSI.