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Publications [Google Scholar]

Published in , 1900

2021

Research Overview

2021

GPU Architectures

MS, Summer Semester, 2022

Module Gerneral Information

The module consists of lectures and a semester-long problem-based project.

• Level: MS
• Credit points: 6
• Semester hours per week (SWS): 4
• Instructor: Sohan Lal
• Time and Localtion: Thursday Lecture 13:15 - 15:00, Project Meeting: 15:00 - 17:00, TBA

Advanced Topics in Computer Architecture

BS/MS, Winter semester 2022, 2023

Seminar Gerneral Information

• Level: BS/MS
• Credit points: 3
• Semester hours per week (SWS): 2
• Instructor: Sohan Lal
• Time and Localtion: TBA

Advanced Topics in Computer Architecture

BS/MS, Winter semester 2023, 2023

Seminar Gerneral Information

• Level: BS/MS
• Credit points: 3
• Semester hours per week (SWS): 2
• Instructor: Sohan Lal
• Time and Localtion: TBA

Embedded GPUs in Space and Automotive Systems

BS/MS, Summer semester 2023, 2023

Seminar Gerneral Information

• Level: BS/MS
• Credit points: 3
• SWS: 2
• Instructor: Sohan Lal
• Time and Localtion: Wednesday: 11:15 - 12:45 in E-4.042

Embedded GPUs in Space and Automotive Systems

BS/MS, Summer semester 2024, 2023

Seminar Gerneral Information

• Level: BS/MS
• Credit points: 3
• SWS: 2
• Instructor: Sohan Lal
• Time and Localtion: Wednesday: 11:15 - 12:45 in E-4.042

GPU Architectures and Programming

MS, Summer Semester, 2023

Module Gerneral Information

The module consists of lectures and a semester-long problem-based project.

• Level: MS
• Credit points: 6
• SWS: 4
• Instructor: Sohan Lal
• Time and Location: Lecture on Thursday 11:15 - 12:45 in H - 0.02, Project/Lab Meeting on Monday 10:00 - 12:00 in CIP/E - 2.027P3d

Massively Parallel Systems: Architecture and Programming

MS, Winter semester 2022, 2023

Module Gerneral Information

The module consists of lectures and several programming assignments.

• Level: MS
• Credit points: 6
• Semester hours per week (SWS): 4
• Instructor: Sohan Lal
• Lecture: Thursday, 11:00-13:00, room O-0.018
• Lab: Thursday, 14:00-16:00, Linux pool, room CIP/E-2.012P3b

Massively Parallel Systems: Architecture and Programming

MS, Winter semester 2023, 2023

Module Gerneral Information

The module consists of lectures and several programming assignments.

• Level: MS
• Credit points: 6
• Semester hours per week (SWS): 4
• Instructor: Sohan Lal
• Teaching Assistant: Tim Lühnen
• Lecture: Thursday, 11:00-13:00, room O-0.018
• Lab: Monday, 10:00-12:00, Linux pool, room CIP/E-2.012P3b

GPU Architectures and Programming

MS, Summer Semester, 2024

Module Gerneral Information

The module consists of lectures and a semester-long problem-based project.

• Level: MS
• Credit points: 6
• SWS: 4
• Instructor: Sohan Lal
• Time and Location: Lecture on Thursday 11:15 - 12:45 in H - 0.02, Project/Lab Meeting on Monday 10:00 - 12:00 in CIP/E - 2.027P3d

Teaching@TUHH

BS/MS, Technische Universität Hamburg, The School of EIM, 2024

Summer Semester 2024

• GPU Architectures and Programming (MS)

Short Bio

Manuel Renz is a part-time Ph.D. student who joined Prof. Sohan Lal's research group in July 2022. He completed his M.Sc. in Computer Science from TU Berlin and gained industry experience working on image processing at CARIAD SE (former Carmeq GmbH). During his master's program, he conducted research on heterogeneous multi-/many-core systems, collaborating with DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz) and Technical University of Berlin.

Short Bio

Sohan Lal is a junior professor and head of the Institute of Massively Parallel Systems at Hamburg University of Technology (TUHH). Before joining TUHH, he was a postdoctoral researcher at the Technical University of Berlin (TU Berlin), working on a DFG funded research project on advanced modeling and runtime support for large-scale HPC clusters (Celerity). He graduated with a Ph.D. in Computer Science from TU Berlin in August 2019. His dissertation was titled “Power Modeling and Architectural Techniques for Energy-Efficient GPUs” and was supervised by Prof. Ben Juurlink. At TU Berlin, he worked on two EU funded research projects on low power parallel computing on GPUs (LPGPU), where he led several tasks, collaborated with consortium members to deliver joint deliverables and contributed significantly to their success. His Ph.D. dissertation work was also conducted in the context of LPGPU projects. For his dissertation, he investigated bottlenecks that cause low performance and low energy efficiency in GPUs and proposed architectural techniques to improve performance and energy efficiency. The results of the dissertation were published in several reputed conferences such as IPDPS, DATE, ISPASS. He won several grants such as HiPEAC travel grants, a HiPEAC collaboration grant to visit Prof. Henk Coporaal (TU/e) that led to a joint publication at DATE. He was a semifinalist at ACM SRC held at MICRO'18. He is interested in computer architecture in general and graphics processing unit (GPU) architecture in particular and his broad research interests include power and performance modeling, parallel systems, memory systems, heterogeneous computing, approximate computing, applied machine learning, and GPU security.

Team

Short Bio

Tim Lühnen has been pursuing his Ph.D. at the Massively Parallel Systems Group under the supervision of Prof. Sohan Lal since November 2022. He obtained his Bachelor's and Master's degrees in Electrical Engineering from Technische Universität Braunschweig, where he graduated in 2021. His master's thesis, titled "An Evaluation of Softcore Processors for Fault-tolerant Computing Platforms," demonstrated his expertise in the field of fault-tolerant computing.

Projects/Theses

Below is a list of open, ongoing, and completed projects/theses. If you are intested in an open project/thesis, or you alreay have a topic and looking for a supervisor, please contact me.