Two U-M computer science and engineering students have distinguished themselves with their work on ways to speed up and improve data center efficiency.
Computer science undergraduate Nathan Brown competed in the Association for Computing Machinery’s (ACM) Student Research Competition and took first place among undergraduates. His project provides a means to speed up software applications by reading future program instructions from memory before they’re needed.
PhD student Akshitha Sriraman, working with researchers from Facebook, has designed a way to measure exactly how much a hardware accelerator would speed up a datacenter. Appropriately named Accelerometer, the analytical model can be applied in the early stages of an accelerator’s design to predict its effectiveness before ever being installed.
