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.

Motivated by his interest in computer architecture, Manuel decided to pursue further research in this area and is currently focused on improving the performance and energy efficiency of multi-/many-core systems, such as GPUs, as part of his Ph.D. studies.

Education

• 🎓 M.Sc. in Computer Science, 2019, Technische Universität Berlin
• 🎓 B.Sc. in Applied Computer Science, 2015, Duale Hochschule Baden-Württemberg Stuttgart

Conference Talks

• Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs (ICCD’23)
• Memory Access Granularity Aware Lossless Compression for GPUs (IPDPS’22)