Ehsan Yousefzadeh-Asl-Miandoab

Ph.D. Student at ITU

Department of Computer Science
IT University of Copenhagen, Denmark

About Me

I am a Ph.D. student at the IT University of Copenhagen, Denmark. My research focus is on Resource-Aware Data Systems, developing mechanisms for improving the utilization and efficiency of the underlying hardware infrastructures.

I obtained a Master's degree in Computer Architecture from the Sharif University of Technology, Tehran, Iran. During my Master's, I conducted extensive research on designing and implementing an energy efficient design for on-chip memories of GPUs, which resulted in two submissions.

My primary field of interest is Computer Architecture, particularly GPUs, parallel computing systems, energy-efficient designs, and heterogeneous systems. Also, I am perfectly eager to contribute to work on hardware accelerators, especially for Machine Learning and Deep Learning applications.

My resume can be downloaded from here.

Education

IT University of Copenhagen

Copenhagen, Denmark

November 2021 - Present

Doctor of Philosophy (Ph.D.)

Currently, I am a Ph.D. student working on Resource-Aware Data Systems under Prof. Pınar Tözün's supervison.

The focus is on developing mechanisms for higher utilization and efficiency of underlying hardware infrastructures for Data-Science, especially for Deep Learning applications.

Sharif University of Technology

Tehran, Iran

September 2016 - September 2018

Masters of Sciences (M.Sc.)

Working under supervision of Prof. Hamid Sarbazi-Azad. The focus of my research has been to introduce an energy efficeint on-chip memories design with negligible performance overhead for GPUs. I proposed and implemented an Unified on-chip memory for shared and global accesses that increases on-chip resources utilization by on-chip resources dynamic management. I implemented and analyzed proposed designs using simulators such as GPGPU-Sim, and self-written C and Python codes. This work resulted in two consecutive submissions. Also, I contributed to another work on developing a mechanism for providing higher utilization of GPUs on-chip resources.

GPA: 17.20/ 20

University of Tabriz

Tabriz, Iran

September 2012 - June 2016

Bachelor of Sciences (B.Sc.)

During my bachelor's, my main focus was on learning and understanding the basics of computer science through taking courses and conducting extensive self-study.

GPA: 18.42/ 20

Honors and Rewards

University of Tabriz

B.Sc. Student

September 2012 - June 2016

University of Tabriz

⬗ Ranked 1st in terms of cumulative GPA (18.42) among 50 Computer Hardware Engineering Students

Sharif University of Technology

M.Sc. Student

September 2016

Sharif University of Technology

⬗ Admitted to the M.Sc. program at Sharif University of Technology as an Exceptional Talented Student

Research Experience

IT University of Copenhagen

November 2021 - Present

Working under Prof. Pınar Tözün's supervison in Data-Intensive Systems and Applications (DASYA) research team.

I work on designing and developing mechanisms for higher utilization and efficiency of commodity hardware (CPU-GPU) for Data-Sciene applications, especially Deep Learning applications.

Sharif University of Technology

September 2016 - August 2019 | September 2020 - February 2021

Working under Prof. Hamid Sarbazi-Azad's supervision in High-Performance Computing Architectures & Networks (HPCAN) research team.

I worked on an energy efficeint on-chip memory design with negligible performance overhead for GPUs. The proposed and implemented mechanism was an Unified on-chip memory for shared and global accesses that increases on-chip resources utilization by on-chip resources dynamic management. I implemented and analyzed proposed designs using simulators such as GPGPU-Sim, and self-written C++ and Python codes. For studying the behavior of shared memory accesses, generated address by the simulator traced and fed to the self-written C++ and Python codes. Then, based on the observations, the source code of the GPGPU-Sim simulator manipulated to reflect the proposed architecture. This work resulted in two consecutive submissions. Also, I contributed to another work on developing a mechanism for providing higher utilization of GPUs on-chip resources.

Skills

Programming

Intel x86 and MIPS Assembly C/C++ CUDA Java Python MATLAB HTML CSS PHP

Frameworks

KerasPyTorchTensorFlowLaravel

Simulation

Altera Quartus IIMentor Modelsim Proteus Design Suite GPGPU-Sim Synopsys Hspice

HDLs

Verilog

Teaching and Supervision Experience

IT University of Copenhagen

Supervision

Project Role Co-Supervisor Semester Level Student Status
Intelligent GPU Utilization Prediction Co-Supervisor Prof. Pınar Tözün Fall 2022/ Spring 2023 M.Sc. Hans Kristian Krogshede In Progress

Teaching and Teaching Assistant

Course Role Instructor Semester
Advanced Data Intensive Systems Teacher Prof. Pınar Tözün Fall 2022
Deep Learning: A Computational Efficiency Perspective Teaching Assistant Prof. Pınar Tözün Spring 2022

Sharif University of Technology

Course Role Instructor Semester
Microprocessor Laboratory Head Teaching Assistant Prof. Amir-Hossein Jahangir Spring 2018, Summer 2018
Computer Architecture Laboratory Head Teaching Assistant Prof. Amir-Hossein Jahangir Spring 2018, Summer 2018
Computer Architecture Head Teaching Assistant Prof. Amir-Hossein Jahangir Spring 2018
Microprocessor Laboratory Head Teaching Assistant Prof. Hamid Sarbazi-Azad Fall 2017
Computer Architecture Laboratory Head Teaching Assistant Prof. Hamid Sarbazi-Azad Summer 2017

University of Tabriz

Course Role Instructor Semester
Logic Circuit Design Teaching Assistant Prof. Mina Zolfy Spring 2016

Fundamentals of Programming Tutor

Course Role Date
Fundamentals of Programming with C Tutor Spring 2018, Summer 2018

Projects

⬗ Unified On-chip Memory for Shared and L1 Cache Accesses for GPUs

– For my master's thesis, I implemented a unified on-chip memory to serve both the shared memory and level one data cache accesses. I logged the addresses generated by the GPGPUSim simulator, and then I fed them to my self-written Python script to study their locality, liveness, and read-after-write frequency charactersitics. Then, based on the observations, the proposed mechanism was implemented by manipulating the GPGPU-Sim simulator.

⬗ Cache with different Configs

– I implemented direct-mapped and set-associative cache for my advanced computer architecture course. Then, I did experiments on it to observe the effects of different policies on hit/ miss rate. It is accessible on my Github page with this link.

⬗ Morris Mano's Basic Computer

– During my bachelor's computer architecture course, I designed and implemented a basic computer (called Mano's basic computer) in the Quartus II Schematics. Then when I was doing my master's, and I was a computer architecture course's TA, I implemented this basic computer in Verilog HDL with more details once more, the GitHub link.

⬗ Python Basics, Data Structures and Algorithms, Parallel Programming with GPUs etc. Tutorials on Github

– In my free time,I work on preparing tutorials for those who want to learn fast and easily. You can check them out on my GitHub page.

⬗ Web Development Projects

– I worked as a back-end developer in several web development teams. I was preparing queries to the databases to get out the wanted data for the designed forms by the front-end team. Additionally, I was responsible for providing APIs to send the needed data to the mobile programmers. Also, I contributed to a URL Shortener on GitHub. I developed an API in Go programming language to ease the job of people who want to write API endpoints in Go, and they don't know how and where to start.

⬗ Design and Implementation of An Efficient Archiving System and some other automation systems in MS

– During my conscription, I designed, implemented, and organized an efficient archiving system in Excel with VBA regarding the documents type and their transactions. Before my system, most of the work was done manually, by automizing the processes, the working crew had more free time.

Talks

Overprovisioning GPUs in the age of AI

Courses: Large Scale Data Analysis - November 2022

– This talk is prepared for computer science master students at the ITU. It reviews machine learning, deep learning and GPUs as the mainstream processors for deep learning training, then the underuitlizatoin challenge of GPUs is discussed and three ways of workload collocation for Nvidia GPUs (multi-stream, MPS, MIG) are discussed.

Processors

Courses: Large Scale Data Analysis - April 2022/ Big Data Management - November 2022

– This talk is prepared for Data Science bachelor students at the ITU. It reviews computing, processor, transformation hierarchy, tradeoffs of different processors, CPU (simple in-order processor, cache hierarchy, pipelining), GPU, FPGA, Accelerator. A recorded version of the talk can be accessed by this link.

GPU Efficiency throguh Intelligent Collocation

6th International Summer School on Resource-Aware Machine Learning (REAML 2022) - September 2022

This poster was prepared for presenting the undergoing work in the students' corner of the TU Dortmund's summer school. It discusses the underutilization problem of GPUs, especially for deep learning training tasks, the causes of the problem, available collocation options and their performance comparison, and finally next steps. The link to the poster's file.

Language Skills

English

Fluent

Taken Test Date Reading Listening Speaking Writing Overall
TOEFL July 10, 2021 26 26 24 24 100

Persian

Native

Azeri

Mother Tongue

Turkish

Fluent

Danish

Basic

My Interests

⬗ Self-Learning

– I enjoy learning through selfs-studying and earning new skills. This helps me to feel more confident and better about myself and my life. In my leisure times, I usually watch tutorial videos on Youtube, Udacity etc. What I know about programming, web development, Git, Linux etc. , I learned totally all of them through self-studying and googling.

⬗ Reading

– I cannot get enough of reading novels. My favorite authors are Anton Chekhov, Fyodor Dostoevsky, Mitch Albom, Orhan Pamuk, George Orwell, Albert Camus, and Abbas Maroufi. Some of the books that I liked them:

The Red-Haired Woman, by Orhan Pamuk
Nineteen Eighty-Four (1984), by George Orwell
Animal Farms, by George Orwell
The Duel, by Anton Chekhov
Three Years, by Anton Chekhov
The Huntsman, by Anton Chekhov
The Gambler, by Fyodor Dostoevsky
White Nights, by Fyodor Dostoevsky
Symphony of the Dead, by Abbas Maroufi
The Five People You meet in Heaven, by Mitch Albom
Tuesdays with Morrie, by Mitch Albom
For one day more, by Mitch Albom
The Stranger, by Albert Camus
The Comfort Book, by Matt Haig

⬗ Hiking, Swimming, and Working Out