The Massively Parallel Systems Group (MPS) is dedicated to researching and teaching computer architecture, with a specific focus on massively parallel systems. These days massively parallel systems are present everywhere – in our smartphones to supercomputers. They help us to do many things which were not possible before. For example, the recent stupendous success of machine learning, especially deep learning, is mainly due to the exponential increase in computational power. As such, machine learning is not new. Machine learning methods are around since the 1950s. What has predominately changed now is the computing power, with many-core processors such as GPUs as the main drivers. If these massively parallel processors are not utilized properly, they are very expensive in terms of power and energy consumption, which is not good as we aspire to reduce our carbon footprint. At MPS, we are developing new techniques to make computing devices more performance and energy-efficient while also improving their programmability. Thank you for your interest in our work!
2023-09-27: Prof. Lal Delivered an Invited Talk
Prof. Lal delivered an invited talk titled "Harnessing the Power of GPUs: A Path to Efficiency and Excellence" at the chair of computational mathematics at TUHH. We appreciate the valuable discussions that ensued!
2023-09-19: Three PhD Scholars from IIT Jammu Visited MPS
Three PhD scholars from IIT Jammu (Anjum Riaz, Gaurav Kumar, and Mahendra Kumar Gurve) visited our group. Thanks for the insightful discussions!
2023-09-12: Prof. Lal Invited to Join Program Committee of DATE 2024
Prof. Lal has been invited to serve as a technical program committee member of the 27th edition of Design, Automation and Test in Europe Conference (DATE), which will be held from 25 March to 27 March, 2024 in Valencia, Spain. More details can be found at (DATE). Please submit your best work!
2023-08-25: MPS Paper Accepted at ICCD 2023
The paper "Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs" by Manuel Renz and Sohan Lal has been accepted for publication at the 41st IEEE International Conference on Computer Design (ICCD) 2023. Congratulations to the team!
2022-12-19: Prof. Lal Invited to Join Program Committee of Euro-Par 2023
Prof. Lal has been invited to serve as a technical program committee member of the 29th International European Conference on Parallel and Distributed Computing (Euro-Par 2023), which will be held from 28 August to 1 September, 2023 in Cyprus. Euro-Par is the prime European conference covering all aspects of parallel and distributed processing. Abstract submission deadline is on February 17, 2023 and paper submission deadline is on February 24, 2023. More details can be found at (Euro-Par). Please submit your best work!
2022-11-16: MPS is Growing!
Mr. Tim Lühnen joined the MPS group as a research assistant/Ph.D. student. Welcome, Tim! Tim will be strengthing the teaching and research of the MPS group. Tim is interested in GPU architectures as well as RISC-V processors. We are excited to have him on the team and looking forward to expanding the research portfolio of MPS.
2022-07-01: Manuel Renz Joins MPS as a Ph.D. student
Mr. Manuel Renz joined the MPS group as a Ph.D. student. Welcome, Manuel! Manuel is interested in computer architecture and he will be working to improve the architecture of multi-/many-core processors, in particular the memory system. We are excited to explore new research opportunities with him.
2022-02-21: MPS Paper Accepted at IJPP 2022
The paper "A Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads" by Sohan Lal, Sharatchandra V. Bogaraju, and Ben Juurlink has been accepted for publication at the International Journal of Parallel Programming (IJPP) 2022. Congratulations to the team!
2022-01-22: MPS Paper Accepted at IPDPS 2022
The paper "Memory Access Granularity Aware Lossless Compression for GPUs" by Sohan Lal, Manuel Renz, Julian Hartmer, and Ben Juurlink has been accepted for publication at the International Conference on Parallel and Distributed Systems (IPDPS) 2022. Congratulations to the team!
2021-09-01: Sohan Lal Joins TUHH
Dr. Sohan Lal joins TU Hamburg as a Junior Professor to lead the massively parallel systems group.