GSI Technology, Inc. announced a collaboration with Professor Elaheh Sadredini of the Computer Science Department at the University of California, Riverside. Utilizing the Gemini APU, Professor Sadredini and her team of student researchers at UC Riverside are focusing on optimizing not only fundamental operations like linear algebra and Regular Expression matching but also a wide range of applications including bioinformatics, machine learning, data mining, cryptography, and more. The Gemini APU?s compute-in-memory design offers an optimal remedy for the ?AI bottleneck?

dataflow issue, significantly increasing both performance and memory capacity for a host of cutting-edge applications. The architecture inherently boasts substantial memory bandwidth making it ideally poised to elevate performance and memory capacity for AI and High Performance Computing. Professor Sadredini?s work is at the intersection of memory and compute with a focus on machine learning, data mining, and hardware security.

In Professor Sadredini, GSI Technology now has yet another amazing researcher at a top-tier university who is doing important work with the Gemini APU. GSI Technology is dedicated to advancing its groundbreaking APU technology through partnerships with world-leading research institutions. In addition to UC Riverside, GSI is actively collaborating with academics and researchers from other top universities including Massachusetts Institute of Technology, University of Southern California, Brigham Young University, University of Pittsburgh, and the University of Arizona.