Di Wu, PhD Student at UCLA & Falcon Computing Solutions, Inc.

Di Wu

PhD Student, UCLA & Falcon Computing Solutions, Inc.

Di Wu is a 5th-year PhD student at UCLA, working with professor Jason Cong. Previous to UCLA, he got his bachelor degree of Electrical Engineering from Tsinghua University, China. He did an internship at Intel Lab from Jun. 2014 to Sep. 2014, working on Spark integration with the Intel HARP FPGA system. His research interests include large-scale deployment of hardware acceleration systems including GPU and FPGA, and domain-specific acceleration for large-scale machine learning and cognitive computations.


Deploying Accelerators At Datacenter Scale Using Spark

Accelerators, such as GPUs and FPGAs, have been gaining popularity in commodity clusters due to their high computing and energy efficiency. However, deploying accelerators at a large scale still requires significant effort when using existing… Read more