Collaborators
Georgios (Yorgos) Vavouliotis is a Senior Researcher at the Huawei Research Center in Zurich. He earned his Ph.D. from Universitat Politècnica de Catalunya and the Barcelona Supercomputing Center, and holds a diploma in Electrical and Computer Engineering from the National Technical University of Athens.
His research explores the frontiers of computer architecture, pioneering innovative microarchitectural solutions to address critical computational challenges. Key areas of focus include advanced techniques for reducing address translation overheads, enhancing cache prefetching performance, and developing smart cache and memory management strategies for complex computing environments. By leveraging AI and machine learning techniques, he builds intelligent, adaptive components while rethinking microarchitectural designs for emerging application domains.
Vavouliotis’s work has been recognized with Best Paper and Best Poster awards and has been featured primarily in top-tier computer architecture conferences, including ISCA, HPCA, MICRO, and ASPLOS.
Daniel A. Jiménez is a Professor in the Computer Science and Engineering Department at Texas A&M University. His research focuses on microarchitecture and the critical interaction between compilers and microarchitectural designs, with extensive work in branch prediction and cache management.
He is widely recognized for inventing the perceptron branch predictor. In recognition of his contributions to the field, he was elevated to IEEE Fellow in 2021 for his work in branch prediction. Most recently, he received the B. Ramakrishna Rau Award for his significant contributions to neural branch prediction in microprocessors.