Abbas (Yasin) Mazloumi

About

Yasin Mazloumi has a broad background in Computer Architecture, GPU Architecture, and Distributed Graph AI/Analytics, having dedicated his career to advancing the field of high-performance computing (HPC). Prior to joining the Kempner Institute, his research at the University of California, Riverside, focused on Distributed Graph Analytics, where he developed distributed and scalable high-performance solutions for graph processing by employing resources available on heterogeneous computing clusters. His expertise extends to leveraging the new parallel programming paradigm of running simultaneous graph queries to amortize the distributed computing cost over a batch of queries, effectively tackling complex computational challenges. These experiences have equipped him with the skills to innovate and optimize high-performance computing systems, making significant strides in developing efficient and effective platforms.

Research Focus

At the Kempner Institute’s Research and Engineering team, Mazloumi is contributing as a Senior AI/ML GPU Computing Engineer. He focuses on optimizing the use of different accelerator nodes, primarily GPUs, within the state-of-the-art AI cluster to enhance research outcomes. His work involves providing system-level insights on GPUs, evaluating and benchmarking new accelerators such as FPGAs and ASICs, and researching the design of hardware-efficient algorithms that can be beneficial in various research projects at Kempner. Additionally, he is exploring how principles of natural intelligence and the brain inspire new AI computing paradigms in both software and hardware. His contributions aim to push the boundaries of AI and ML research, driving forward the institute’s mission to leverage cutting-edge technology for humanity’s benefit.